Announcements

In order to acknowledge our reviewers, who so generously dedicate their time to reviewing papers and demonstrate diligence, professionalism, and timeliness when reviewing manuscripts, MDPI journals regularly offer outstanding reviewer awards to scholars who participate in the peer-review process.

We are proud to recognize the winners for the year 2021 in the “Computer Science and Mathematics” for their outstanding contributions among extensive competition by presenting them with an Outstanding Reviewer Award.

We would like to take this opportunity to congratulate all of the winners on their achievement.

MDPI will continue to provide support and recognition to the academic community.

Algorithms:

• Maxim A. Dulebenets, SA Florida A&M University-Florida State University, USA
• Artur Jez, University of Wrocław, Poland
• Dmitry Lukyanenko, Lomonosov Moscow State University, Russia

Forecasting:

• Juan Ramón Trapero Arenas, Universidad de Castilla-La Mancha, Spain

Future Internet:

• Pedro Pablo Garrido Abenza, Universidad Miguel Hernández de Elche, Spain
• Roberto Saia, University of Cagliari, Italy
• Marek Bolanowski, Rzeszow University of Technology, Poland

Journal of Imaging:

• Jung Sun Yoo, Hong Kong Polytechnic University, China
• Josemaria Martinezo, University of the Basque Country, Spain

Mathematics:

• Maria Alessandra Ragusa, Università di Catania, Italy; DN University, Russia
• Endre Kovács, University of Miskolc, Hungary
• Roman Vavrek, VŠB-Technical University of Ostrava, Czech Republic
• Giacomo Ascione, Università degli Studi di Napoli Federico II, Italy
• Giorgio Sonnino, University in the City of Brussels, Belgium

Signals:

• Nina Golyandina, St. Petersburg State University, Russia
• Cataldo Guaragnella, Politecnico di Bari, Italy

Symmetry:

• Stefan Groote, University of Tartu, Estonia
• José Antonio Oller, Universidad de Murcia, Spain
• Kazuharu Bamba, Fukushima University, Japan

MDPI’s Young Investigator Awards recognize promising junior researchers, acknowledge their contributions, and enhance communication among scientists. We are proud to present the winners for the year 2021 in the “Computer Science & Mathematics”, who were selected by the journals’ editors.

We warmly congratulate the awarded Young Investigators for their outstanding contributions.

MDPI will continue to provide support and recognition to the academic community.

Mathematics:

• Marina Murillo Arcila, Universitat Politècnica de València, Spain

Symmetry:

• Tanmoy Paul, University of Burdwan, India

The purpose of our best paper awards is to promote and recognize the most impactful contributions published within MDPI journals.

The editors of each journal carefully selected reviews and research papers through a rigorous judging process based on the criteria such as scientific merit, overall impact, and quality of the presentation of the papers published in the journal.

We are honored to present the winners in the “Computer Science & Mathematics”, who were selected amongst extensive competition, and congratulate the authors for their outstanding scientific publications.

MDPI will continue to provide support and recognition to the academic community.

Axioms:

• A New gH-Difference for Multi-Dimensional Convex Sets and Convex Fuzzy Sets
  By Luciano Stefanini and Barnabas Bede
  Axioms 2019, 8(2), 48; doi:10.3390/axioms8020048

• Initial Value Problem for Nonlinear Fractional Differential Equations with ψ-Caputo Derivative via Monotone Iterative Technique
  By Choukri Derbazi, Zidane Baitiche, Mouffak Benchohra and Alberto Cabada
  Axioms 2020, 9(2), 57; doi:10.3390/axioms9020057

Future Internet:

• A review of Machine Learning and IoT in Smart Transportation
  By Fotios Zantalis, Grigorios Koulouras, Sotiris Karabetsos and Dionisis Kandris
  Future Internet 2019, 11(4), 94; doi:10.3390/fi11040094

Signals:

• Recognition of Blinks Activity Patterns during Stress Conditions Using CNN and Markovian Analysis
  By Alexandra I. Korda, Giorgos Giannakakis, Errikos Ventouras, Pantelis A. Asvestas, Nikolaos Smyrnis, Kostas Marias and George K. Matsopoulos
  Signals 2021, 2(1), 55–71; doi:10.3390/signals2010006

• An Educational Guide through the FMP Notebooks for Teaching and Learning Fundamentals of Music Processing
  By Meinard Müller
  Signals 2021, 2(2), 245–285; doi:10.3390/signals2020018

Symmetry:

• Hadronic and Hadron-Like Physics of Dark Matter
  By Vitaly Beylin, Maxim Yu. Khlopov, Vladimir Kuksa and Nikolay Volchanskiy
  Symmetry 2019, 11(4), 587; doi:10.3390/sym11040587

• Role of Asymmetric Autocatalysis in the Elucidation of Origins of Homochirality of Organic Compounds
  By Kenso Soai, Tsuneomi Kawasaki and Arimasa Matsumoto
  Symmetry 2019, 11(5), 694; doi:10.3390/sym11050694

• Convenient Asymmetric Synthesis of Fmoc-(S)-6,6,6-Trifluoro-Norleucine
  By Haibo Mei, Zizhen Yin, Toshio Miwa, Hiroki Moriwaki, Hidenori Abe, Jianlin Han and Vadim A. Soloshonok
  Symmetry 2019, 11(4), 578; doi:10.3390/sym11040578

• CMB Tensions with Low-Redshift H₀ and S₈ Measurements: Impact of a Redshift-Dependent Type-Ia Supernovae Intrinsic Luminosity
  By Matteo Martinelli and Isaac Tutusaus
  Symmetry 2019, 11(8), 986; doi:10.3390/sym11080986

We are pleased to report that the CiteScore of Algorithms (ISSN: 1999-4893) has increased to 3.3 (from 2.9). The journal now ranks Q2 in the “Computational Mathematics” SCImago Journal Rank (SJR). For full details of the current CiteScore release, please refer to the journal’s source profile.

We would like to extend our sincerest gratitude to the authors, editors, and reviewers for their contributions. We are grateful for your excellent work that has helped us to achieve this milestone for Algorithms!

To read more and submit to our journal, please visit the following link: https://www.mdpi.com/journal/algorithms.

Algorithms Editorial Office

The 2021 citation metrics have been officially released in Scopus!

We are pleased to announce that 182 MDPI journals are included, of which:

● 21 journals received their first CiteScore.
● 85% of journals increased their CiteScore from 2020.
● 155 journals (85%) ranked above average, in at least one category.

The following 65 MDPI journals (36%) ranked among the top 25% of journals, in at least one category:

Source: 2021 CiteScores™ (Elsevier)

It is our pleasure to announce that seven Algorithms (ISSN: 1999-4893) Editorial Board Members have been listed as 2021 Highly Cited Researchers by Clarivate. We wish to take this opportunity to express our gratitude for the immense impact these researchers have had on scientific progress in the field as well as on the development of our journal.

In order to foster further cooperation with more excellent scholars from all around the world, we are now recruiting Topical Advisory Panel Members and Editorial Board Members for our journal. If you are interested in joining us, please feel free to contact our Editorial Office (algorithms@mdpi.com). Your support will be highly appreciated.

Additionally, our journal has compiled a selection of the top cited papers published in 2020 and 2021 related to two hot topics “Metaheuristics” and “Machine Learning”. You are welcomed to share and recommend these papers within your community.

Algorithms (ISSN: 1999-4893) continued its development throughout 2021. It saw a continuous increase in its CiteScore in the past five years, and it received a CiteScore (2020) of 2.90 combined with a steady increasing submission rate with 1049 new submissions in 2021. The team behind the journal is trying their best to improve the visibility and reputation of Algorithms in the field of algorithms and machine learning.

In 2021, we received 1049 new submissions and published 369 papers. The median processing time (from submission to publication online) was 35 days in 2021. A total of 21 new Editorial Board Members (EBMs) joined us, and the number of Editorial Board Members increased to 139. Furthermore, we now have 1577 subscribers in total.

Algorithms also held the 1st International Online Conference on Algorithms (IOCA 2021) (https://ioca2021.sciforum.net/). We invited the Editor-in-Chief as the General Chair and 12 EBMs as the committee. There were 9 speakers in total, including EBMs and other excellent scholars, and we also set up 1 live session and 1 best paper award. We published 32 conference papers and 9 abstracts. We really appreciate all the support and help from our chairs, conference committee, and speakers. The journal will continue to attract more and more authors from all over the world who appreciate its very efficient peer review and publishing processes.

Highly Cited Papers

• “COVID-19 Prediction Applying Supervised Machine Learning Algorithms with Comparative Analysis Using WEKA”
  by Charlyn Nayve Villavicencio et al.

• “Short Communication: Detecting Heavy Goods Vehicles in Rest Areas in Winter Conditions Using YOLOv5”
  by Margrit Kasper-Eulaers and Per Egil Kummervold et al.

• “Phase Congruential White Noise Generator”
  by Yulian A. Menyaev et al.

• “Circle-U-Net: An Efficient Architecture for Semantic Segmentation”
  by Guanci Yang et al.

• “Bio-Inspired Algorithms and Its Applications for Optimization in Fuzzy Clustering”
  by Oscar Castillo et al.

Collections/Special Issues

Algorithms runs Special Issues to create collections of papers on specific topics. The aim is to build a community of authors and readers to discuss the latest research and develop new ideas and research directions. Special Issues are led by Guest Editors who are experts in the subject and oversee the editorial process for papers. Papers published in a Special Issue are collected together on a dedicated page of the journal website.

Hot Special Issues

• “Metaheuristic Algorithms in Optimization and Applications 2021”;

• “Algorithms and Applications of Time Series Analysis”;

• “Algorithms and Data-Structures for Compressed Computation”;

• “Algorithms in Computational Biology”;

• “Machine Learning in Healthcare and Biomedical Application”;

• “Algorithms for Shortest Paths in Dynamic and Evolving Networks”;

• “Network Science: Algorithms and Applications”.

• Topical Collection “Parallel and Distributed Computing: Algorithms and Applications”
  edited by Dr. Charalampos Konstantopoulos and Prof. Dr. Grammati Pantziou

• Topical Collection “Feature Paper in Algorithms and Complexity Theory”
  edited by Prof. Dr. Vangelis Th. Paschos

• Special Issue “Metaheuristic Algorithms and Applications”
  edited by Prof. Dr. Lorenzo Salas-Morera and Dr. Laura Garcia-Hernandez

• Special Issue “Algorithms for Computational Biology 2022”
  edited by Dr. Chuan-Min Lee

• Special Issue “Algorithms for Biomedical Image Analysis and Processing”
  edited by Dr. Lucia Maddalena and Dr. Laura Antonelli

• Special Issue “Algorithms in Complex Networks”
  edited by Prof. Dr. Wanquan Liu, Dr. Huafeng Wang, Dr. Xiaojun Tan and Dr. Zhengping Fan

See the full list of call for papers at the following link: https://www.mdpi.com/journal/algorithms/special_issues.

On behalf of the editorial team, we would like to express our gratitude to the Editor-in-Chief of Algorithms, all Section Editors-in-Chief and Editorial Board Members, as well as Guest Editors of Special Issues, Topical Advisory Panel Members, and Reviewer Board Members, all of whom have ensured the continued success of the journal through their hard work and diligence.

In 2022, Algorithms will continue to contribute to academic exchange and the sharing of knowledge.

“COVID-19 Outbreak Prediction with Machine Learning”
Amir Mosavi et al.
Algorithms 2020, 13(10), 249; 10.3390/a13100249

“A Grey-Box Ensemble Model Exploiting Black-Box Accuracy and White-Box Intrinsic Interpretability”
Ioannis E. Livieris et al.
Algorithms 2020, 13(1), 17; 10.3390/a13010017

“Ensemble Learning of Hybrid Acoustic Features for Speech Emotion Recognition”
Oludayo Olugbara et al.
Algorithms 2020, 13(3), 70; 10.3390/a13030070

“Ensemble Deep Learning Models for Forecasting Cryptocurrency Time-Series”
Ioannis E. Livieris et al.
Algorithms 2020, 13(5), 121; 10.3390/a13050121

“Moving Deep Learning to the Edge”
Mário P. Véstias et al.
Algorithms 2020, 13(5), 125; 10.3390/a13050125

“Ensemble Deep Learning for Multilabel Binary Classification of User-Generated Content”
Giannis Haralabopoulos et al.
Algorithms 2020, 13(4), 83; 10.3390/a13040083

“When 5G Meets Deep Learning: A Systematic Review”
Patricia Takako Endo et al.
Algorithms 2020, 13(9), 208; 10.3390/a13090208

“Detection and Monitoring of Bottom-Up Cracks in Road Pavement Using a Machine-Learning Approach”
Vitalii Naumov et al.
Algorithms 2020, 13(4), 81; 10.3390/a13040081

“Short Communication: Detecting Heavy Goods Vehicles in Rest Areas in Winter Conditions Using YOLOv5”
Margrit Kasper-Eulaers et al.
Algorithms 2021, 14(4), 114; 10.3390/a14040114

“Typhoon Intensity Forecasting Based on LSTM Using the Rolling Forecast Method”
Bin Mu et al.
Algorithms 2021, 14(3), 83; 10.3390/a14030083

“Optimizing Convolutional Neural Network Hyperparameters by Enhanced Swarm Intelligence Metaheuristics”
Milan Tuba et al.
Algorithms 2020, 13(3), 67; 10.3390/a13030067

“Nature-Inspired Optimization Algorithms for Text Document Clustering—A Comprehensive Analysis”
Amir H. Gandomi et al.
Algorithms 2020, 13(12), 345; 10.3390/a13120345

“A Comparative Study of Four Metaheuristic Algorithms, AMOSA, MOABC, MSPSO, and NSGA-II for Evacuation Planning”
Olive Niyomubyeyi et al.
Algorithms 2020, 13(1), 16; 10.3390/a13010016

“A Multiobjective Large Neighborhood Search Metaheuristic for the Vehicle Routing Problem with Time Windows”
Grigorios D. Konstantakopoulos et al.
Algorithms 2020, 13(10), 243; 10.3390/a13100243

“Research and Study of the Hybrid Algorithms Based on the Collective Behavior of Fish Schools and Classical Optimization Methods”
Liliya A. Demidova and Artyom V. Gorchakov
Algorithms 2020, 13(4), 85; 10.3390/a13040085

“A Survey of Advances in Landscape Analysis for Optimisation”
Katherine Mary Malan
Algorithms 2021, 14(2), 40; 10.3390/a14020040

“Bio-Inspired Algorithms and Its Applications for Optimization in Fuzzy Clustering”
Oscar Castillo et al.
Algorithms 2021, 14(4), 122; 10.3390/a14040122

“A Multi-Objective Optimization Method for Hospital Admission Problem—A Case Study on Covid-19 Patients”
Amr Mohamed AbdelAziz and Louai Alarabi et al.
Algorithms 2021, 14(2), 38; 10.3390/a14020038

“Combining Heuristics with Simulation and Fuzzy Logic to Solve a Flexible-Size Location Routing Problem under Uncertainty”
Rafael D. Tordecilla et al.
Algorithms 2021, 14(2), 45; 10.3390/a14020045

“An Improved Greedy Heuristic for the Minimum Positive Influence Dominating Set Problem in Social Networks”
Christian Blum et al.
Algorithms 2021, 14(3), 79; 10.3390/a14030079

“Algorithms for Finding Shortest Paths in Networks with Vertex Transfer Penalties”
Rhyd Lewis et al.
Algorithms 2020, 13(11), 269; 10.3390/a13110269

“COVID-19 Outbreak Prediction with Machine Learning”
Amir Mosavi et al.
Algorithms 2020, 13(10), 249; 10.3390/a13100249

“When 5G Meets Deep Learning: A Systematic Review”
Patricia Takako Endo et al.
Algorithms 2020, 13(9), 208; 10.3390/a13090208

“An IoT System for Social Distancing and Emergency Management in Smart Cities Using Multi-Sensor Data”
Massimo Merenda et al.
Algorithms 2020, 13(10), 254; 10.3390/a13100254

“Towards Cognitive Recommender Systems”
Amin Beheshti et al.
Algorithms 2020, 13(8), 176; 10.3390/a13080176

“A Review of Lithium-Ion Battery Fault Diagnostic Algorithms: Current Progress and Future Challenges”
Michael Fowler et al.
Algorithms 2020, 13(3), 62; 10.3390/a13030062

“A Review on Recent Advancements in FOREX Currency Prediction”
Karl Andersson et al.
Algorithms 2020, 13(8), 186; 10.3390/a13080186

“Designing the Uniform Stochastic Photomatrix Therapeutic Systems”
Yulian A. Menyaev et al.
Algorithms 2020, 13(2), 41; 10.3390/a13020041

“A Multiple-Input Neural Network Model for Predicting Cotton Production Quantity: A Case Study”
Ioannis E. Livieris et al.
Algorithms 2020, 13(11), 273; 10.3390/a13110273

“Groundwater Prediction Using Machine-Learning Tools”
Eslam A. Hussein et al.
Algorithms 2020, 13(11), 300; 10.3390/a13110300