Martin Rajman

157 total papers · 3.0k total citations
91 papers, 1.4k citations indexed

About

Martin Rajman is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Martin Rajman has authored 91 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Artificial Intelligence, 21 papers in Information Systems and 20 papers in Computer Networks and Communications. Recurrent topics in Martin Rajman's work include Natural Language Processing Techniques (36 papers), Topic Modeling (19 papers) and Peer-to-Peer Network Technologies (18 papers). Martin Rajman is often cited by papers focused on Natural Language Processing Techniques (36 papers), Topic Modeling (19 papers) and Peer-to-Peer Network Technologies (18 papers). Martin Rajman collaborates with scholars based in Switzerland, Croatia and United Kingdom. Martin Rajman's co-authors include Lonneke van der Plas, Jean-Cédric Chappelier, Karl Aberer, Ivana Podnar Žarko, Romaric Besançon, Haym Hirsh, Yonatan Aumann, Ronen Feldman, Moshe Fresko and Vincenzo Pallotta and has published in prestigious journals such as Future Generation Computer Systems, Proceedings of the VLDB Endowment and Current Opinion in Hematology.

In The Last Decade

Martin Rajman

68 papers receiving 1.3k citations

Hit Papers

Proceedings of the 4th In... 2004 2026 2011 2018 2004 250 500 750

Author Peers

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

Author Last Decade Papers Cites
Martin Rajman 976 257 189 128 122 91 1.4k
Wendy G. Lehnert 1.3k 1.4× 428 1.7× 129 0.7× 51 0.4× 106 0.9× 53 1.7k
Stuart C. Shapiro 1.0k 1.1× 105 0.4× 197 1.0× 42 0.3× 106 0.9× 111 1.5k
Sandra Carberry 1.2k 1.2× 181 0.7× 74 0.4× 62 0.5× 311 2.5× 89 1.6k
Henry S. Thompson 1.1k 1.2× 161 0.6× 98 0.5× 298 2.3× 85 0.7× 57 1.6k
Tomek Strzalkowski 1.4k 1.4× 347 1.4× 47 0.2× 52 0.4× 62 0.5× 117 1.6k
Douglas E. Appelt 1.4k 1.5× 285 1.1× 141 0.7× 96 0.8× 61 0.5× 41 1.6k
Richard Tobin 652 0.7× 187 0.7× 44 0.2× 57 0.4× 73 0.6× 51 1.2k
Lenhart K. Schubert 1.3k 1.3× 130 0.5× 271 1.4× 90 0.7× 59 0.5× 116 1.6k
Thierry Declerck 1.0k 1.0× 144 0.6× 40 0.2× 139 1.1× 85 0.7× 119 1.3k
Martha Evens 1.3k 1.3× 286 1.1× 70 0.4× 125 1.0× 79 0.6× 151 1.6k

Countries citing papers authored by Martin Rajman

Since Specialization
Citations

This map shows the geographic impact of Martin Rajman'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 Rajman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Rajman more than expected).

Fields of papers citing papers by Martin Rajman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Martin Rajman. 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 Rajman. The network helps show where Martin Rajman may publish in the future.

Co-authorship network of co-authors of Martin Rajman

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Rajman. A scholar is included among the top collaborators of Martin Rajman 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 Rajman. Martin Rajman 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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