Martin Becker

801 total citations
18 papers, 529 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 529 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 Chronic Lymphocytic Leukemia Research (6 papers), Lymphoma Diagnosis and Treatment (6 papers) and Advanced Breast Cancer Therapies (4 papers). Martin Becker is often cited by papers focused on Chronic Lymphocytic Leukemia Research (6 papers), Lymphoma Diagnosis and Treatment (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, Peter Klein, Vesselina Goranova‐Marinova, Marco Montillo, Liana Gercheva, Françoise Huguet, K Merkle, Gerhard Postner, Ali Aldaoud and Wolfgang Knauf 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 503 citations

Peers

Martin Becker
Comparison fields: 5 of 86
  • Genetics 354
  • Pathology and Forensic Medicine 324
  • Immunology 118
  • Hematology 84
  • Oncology 59
Replace Lothar Tremmel with:
Lothar Tremmel United States
James Dale United Kingdom
Anders Ellern Bilgrau Denmark
Chun Yang China
Martin N. Fransson Sweden
Candice Jamois Switzerland
Ming-Sheng Lee Taiwan
Jakob Madsen Denmark
Ronald K. Knickerbocker United States
Lothar Tremmel United States View profile →
Citations per field, relative to Martin Becker
Martin Becker · 1×
Citations per year, relative to Martin Becker
Martin Becker · 1×

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

18 of 18 papers shown
# Work Indexed citations
1 16
2 1
3 1
4 1
5
Learning Semantic Relatedness from Human Feedback Using Relative Relatedness Learning.
1
6 11
7 44
8 20
9 3
10 10
11 5
12 77
13 10
14
Bendamustine versus chlorambucil in treatment- naive patients with chronic lymphocytic leukemia: Updated results of an international phase III study
1
15 10
16 304
17 11
18
[Surgical prevention of post-traumatic infection by immediate necrectomy of burn wounds].
3

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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