Martin Fritzsche

34 total papers · 914 total citations
27 papers, 692 citations indexed

About

Martin Fritzsche is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Biomedical Engineering. According to data from OpenAlex, Martin Fritzsche has authored 27 papers receiving a total of 692 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 7 papers in Biomedical Engineering. Recurrent topics in Martin Fritzsche's work include Target Tracking and Data Fusion in Sensor Networks (10 papers), Autonomous Vehicle Technology and Safety (6 papers) and Geophysical Methods and Applications (4 papers). Martin Fritzsche is often cited by papers focused on Target Tracking and Data Fusion in Sensor Networks (10 papers), Autonomous Vehicle Technology and Safety (6 papers) and Geophysical Methods and Applications (4 papers). Martin Fritzsche collaborates with scholars based in Germany and United States. Martin Fritzsche's co-authors include Michael Schrauf, Michael Simon, Wilhelm E. Kincses, Eike Schmidt, Axel Buchner, Klaus Dietmayer, Wolfgang Rosenstiel, Andreas Bruns, Martin Bogdan and Hendrik Deusch and has published in prestigious journals such as Accident Analysis & Prevention, Clinical Neurophysiology and ArXiv.org.

In The Last Decade

Martin Fritzsche

27 papers receiving 667 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 Fritzsche 247 195 180 134 131 27 692
David Sommer 396 1.6× 120 0.6× 178 1.0× 99 0.7× 92 0.7× 49 751
Yanchao Dong 240 1.0× 123 0.6× 237 1.3× 166 1.2× 172 1.3× 34 750
Guosheng Yang 159 0.6× 103 0.5× 73 0.4× 148 1.1× 51 0.4× 39 703
Shaibal Barua 160 0.6× 153 0.8× 150 0.8× 39 0.3× 48 0.4× 33 629
John P. McIntire 115 0.5× 270 1.4× 152 0.8× 149 1.1× 29 0.2× 54 732
Chi Zhang 125 0.5× 80 0.4× 51 0.3× 177 1.3× 80 0.6× 66 791
Daniel Barber 62 0.3× 131 0.7× 483 2.7× 75 0.6× 54 0.4× 41 784
Neal Finkelstein 199 0.8× 167 0.9× 180 1.0× 86 0.6× 26 0.2× 21 704
Martin Gölz 381 1.5× 133 0.7× 189 1.1× 27 0.2× 56 0.4× 60 643
Suhas Gajre 55 0.2× 87 0.4× 85 0.5× 274 2.0× 118 0.9× 34 697

Countries citing papers authored by Martin Fritzsche

Since Specialization
Citations

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

Fields of papers citing papers by Martin Fritzsche

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Fritzsche

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