Martin Becker

266 total papers · 3.6k total citations
118 papers, 1.6k citations indexed

About

Martin Becker is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Martin Becker has authored 118 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Artificial Intelligence, 47 papers in Information Systems and 21 papers in Computer Networks and Communications. Recurrent topics in Martin Becker's work include Advanced Software Engineering Methodologies (46 papers), Software Engineering Research (30 papers) and Service-Oriented Architecture and Web Services (24 papers). Martin Becker is often cited by papers focused on Advanced Software Engineering Methodologies (46 papers), Software Engineering Research (30 papers) and Service-Oriented Architecture and Web Services (24 papers). Martin Becker collaborates with scholars based in Germany, United States and Spain. Martin Becker's co-authors include Thorsten Berger, Krzysztof Czarnecki, Slawomir Duszynski, Julia Rubin, Andrzej Wąsowski, D. Nair, Joanne M. Atlee, Arthur I. Karshmer, Jürgen Nehmer and Yael Dubinsky and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Martin Becker

97 papers receiving 1.5k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Martin Becker 827 791 343 230 183 118 1.6k
Yucong Duan 690 0.8× 738 0.9× 579 1.7× 72 0.3× 201 1.1× 139 1.9k
Behrouz H. Far 864 1.0× 686 0.9× 351 1.0× 136 0.6× 306 1.7× 210 2.0k
Carl K. Chang 616 0.7× 1.1k 1.4× 454 1.3× 412 1.8× 193 1.1× 161 1.9k
Ying Ma 429 0.5× 731 0.9× 331 1.0× 403 1.8× 91 0.5× 79 1.6k
Asadullah Shaikh 519 0.6× 447 0.6× 330 1.0× 114 0.5× 206 1.1× 167 1.8k
Michael Winikoff 1.2k 1.5× 407 0.5× 412 1.2× 171 0.7× 84 0.5× 112 1.8k
Manuel Mazzara 540 0.7× 602 0.8× 435 1.3× 72 0.3× 397 2.2× 145 2.2k
Ning Chen 635 0.8× 512 0.6× 170 0.5× 93 0.4× 230 1.3× 108 2.0k
Devika Subramanian 620 0.7× 311 0.4× 478 1.4× 120 0.5× 102 0.6× 82 2.0k
Austin Tate 1.6k 1.9× 443 0.6× 620 1.8× 117 0.5× 148 0.8× 131 2.2k

Countries citing papers authored by Martin Becker

Since Specialization
Citations

This map shows the geographic impact of Martin Becker's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Martin Becker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Becker more than expected).

Fields of papers citing papers by Martin Becker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Martin Becker. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Martin Becker. The network helps show where Martin Becker may publish in the future.

Co-authorship network of co-authors of Martin Becker

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Becker. A scholar is included among the top collaborators of Martin Becker based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Martin Becker. Martin Becker is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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