Martin Becker

37 total papers · 799 total citations
18 papers, 527 citations indexed

About

Martin Becker is a scholar working on Artificial Intelligence, Genetics and Pathology and Forensic Medicine. According to data from OpenAlex, Martin Becker has authored 18 papers receiving a total of 527 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 6 papers in Genetics and 6 papers in Pathology and Forensic Medicine. Recurrent topics in Martin Becker's work include Lymphoma Diagnosis and Treatment (6 papers), Chronic Lymphocytic Leukemia Research (6 papers) and Advanced Breast Cancer Therapies (4 papers). Martin Becker is often cited by papers focused on Lymphoma Diagnosis and Treatment (6 papers), Chronic Lymphocytic Leukemia Research (6 papers) and Advanced Breast Cancer Therapies (4 papers). Martin Becker collaborates with scholars based in Germany, Austria and Spain. Martin Becker's co-authors include Raoul Herbrecht, Gerhard Postner, Wolfgang Knauf, Marco Montillo, K Merkle, Françoise Huguet, Liana Gercheva, Vesselina Goranova‐Marinova, Peter Klein and Ali Aldaoud and has published in prestigious journals such as Journal of Clinical Oncology, Blood and British Journal of Haematology.

In The Last Decade

Martin Becker

18 papers receiving 502 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 354 324 119 84 59 18 527
Daniel Jones 173 0.5× 216 0.7× 63 0.5× 62 0.7× 113 1.9× 22 462
Ed Keystone 95 0.3× 78 0.2× 148 1.2× 144 1.7× 74 1.3× 25 571
J. D. Hoyer 329 0.9× 137 0.4× 84 0.7× 208 2.5× 37 0.6× 20 518
Paraskevi Roussou 152 0.4× 120 0.4× 92 0.8× 83 1.0× 139 2.4× 21 528
Flavia Sunzini 44 0.1× 41 0.1× 192 1.6× 96 1.1× 64 1.1× 17 568
Shigeo Kamitsuji 46 0.1× 77 0.2× 61 0.5× 68 0.8× 23 0.4× 26 608
Chul‐Soo Cho 40 0.1× 53 0.2× 226 1.9× 154 1.8× 87 1.5× 19 601
Xuebin Ji 95 0.3× 138 0.4× 125 1.1× 429 5.1× 23 0.4× 20 575
Julie Parmentier 123 0.3× 79 0.2× 130 1.1× 114 1.4× 165 2.8× 18 569
Lothar Tremmel 313 0.9× 277 0.9× 100 0.8× 115 1.4× 74 1.3× 13 609

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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