Special Issue "Bibliometrics"

A special issue of Computation (ISSN 2079-3197). This special issue belongs to the section "Computational Engineering".

Deadline for manuscript submissions: 15 December 2020.

Special Issue Editor

Dr. Robin Haunschild
Website
Guest Editor
Max Planck Institute for Solid State Research, Heisenbergstr. 1, 70569 Stuttgart, Germany
Interests: scientometrics; bibliometrics; altmetrics; social network analysis

Special Issue Information

Dear Colleagues,

Bibliometric methods are potentially relevant for all other disciplines. Therefore, the field of bibliometrics has a strong interdisciplinary nature. Research within bibliometrics encompasses studies of citation and reference patterns. Normalization procedures are proposed to compare citation scores across fields, and new classification schemes are introduced. With the advent of increasing computer power and availability of large, machine-usable bibliographic databases, bibliometrics has developed in the direction of big data science. Besides research within the field of bibliometrics, bibliometric methods are applied to other disciplines in various ways. The state of the art, significant achievements, and historical roots of scientific fields are analyzed.

In a very closely related subdiscipline, altmetrics (short for alternative metrics), impact assessment of recent publications (one or two years old) is attempted. Such young publications represent a problem for traditional bibliometric methods because citations take a few years, even many years in some disciplines, to accumulate. Altmetrics consist of manifold sources (Mendeley reader information, Twitter data, etc.) that open the possibility to tell the story behind the research rather than performing only impact measurements.

The present Special Issue aims to present the possibilities offered by bibliometrics and altmetrics. Contributions with a connection to computational engineering are especially welcome. In addition to original research papers, review papers and short communications are invited.

Dr. Robin Haunschild
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Computation is an international peer-reviewed open access quarterly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • bibliometrics
  • scientometrics
  • altmetrics
  • RPYS
  • citation impact
  • research trends
  • historical roots
  • publication classification
  • network analysis

Published Papers (1 paper)

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Research

Open AccessArticle
Field Programmable Gate Array Applications—A Scientometric Review
Computation 2019, 7(4), 63; https://doi.org/10.3390/computation7040063 - 11 Nov 2019
Cited by 2
Abstract
Field Programmable Gate Array (FPGA) is a general purpose programmable logic device that can be configured by a customer after manufacturing to perform from a simple logic gate operations to complex systems on chip or even artificial intelligence systems. Scientific publications related to [...] Read more.
Field Programmable Gate Array (FPGA) is a general purpose programmable logic device that can be configured by a customer after manufacturing to perform from a simple logic gate operations to complex systems on chip or even artificial intelligence systems. Scientific publications related to FPGA started in 1992 and, up to now, we found more than 70,000 documents in the two leading scientific databases (Scopus and Clarivative Web of Science). These publications show the vast range of applications based on FPGAs, from the new mechanism that enables the magnetic suspension system for the kilogram redefinition, to the Mars rovers’ navigation systems. This paper reviews the top FPGAs’ applications by a scientometric analysis in ScientoPy, covering publications related to FPGAs from 1992 to 2018. Here we found the top 150 applications that we divided into the following categories: digital control, communication interfaces, networking, computer security, cryptography techniques, machine learning, digital signal processing, image and video processing, big data, computer algorithms and other applications. Also, we present an evolution and trend analysis of the related applications. Full article
(This article belongs to the Special Issue Bibliometrics)
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