Martin C. Hirsch

971 total citations
29 papers, 594 citations indexed

About

Martin C. Hirsch is a scholar working on Cognitive Neuroscience, Health Informatics and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Martin C. Hirsch has authored 29 papers receiving a total of 594 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cognitive Neuroscience, 5 papers in Health Informatics and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Martin C. Hirsch's work include Artificial Intelligence in Healthcare and Education (5 papers), Genomics and Rare Diseases (3 papers) and Simulation-Based Education in Healthcare (3 papers). Martin C. Hirsch is often cited by papers focused on Artificial Intelligence in Healthcare and Education (5 papers), Genomics and Rare Diseases (3 papers) and Simulation-Based Education in Healthcare (3 papers). Martin C. Hirsch collaborates with scholars based in Germany, Switzerland and France. Martin C. Hirsch's co-authors include Hans Braun, Klaus Schäfer, Simon Ronicke, Annette D. Wagner, Stephen Gilbert, Martin Krusche, Andrea Biasiucci, Matthew Fenech, Johannes Starlinger and Lars Timmermann and has published in prestigious journals such as Nature, Computers in Human Behavior and Annals of the Rheumatic Diseases.

In The Last Decade

Martin C. Hirsch

21 papers receiving 555 citations

Peers

Martin C. Hirsch
Comparison fields: 5 of 104
  • Statistical and Nonlinear Physics 303
  • Cognitive Neuroscience 290
  • Computer Networks and Communications 180
  • Molecular Biology 62
  • Health Informatics 57
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Citations per field, relative to Martin C. Hirsch
Martin C. Hirsch · 1×
Citations per year, relative to Martin C. Hirsch
Martin C. Hirsch · 1×

Countries citing papers authored by Martin C. Hirsch

Since Specialization
Citations

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

Fields of papers citing papers by Martin C. Hirsch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin C. Hirsch

This figure shows the co-authorship network connecting the top 25 collaborators of Martin C. Hirsch. A scholar is included among the top collaborators of Martin C. Hirsch 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 C. Hirsch. Martin C. Hirsch is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 0
3 0
4 0
5 1
6 11
7 6
8 9
9 0
10 25
11 3
12 38
13 32
14 73
15 2
16 28
17 3
18 324
19
Common Market cartel law
1
20
Cartel law of the European Economic Community
1

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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