Martin Fritzsche
- Experimental and Cognitive Psychology top 5%
- Cognitive Neuroscience top 10%
- Social Psychology top 10%
- Computer Vision and Pattern Recognition top 10%
- Automotive Engineering top 5%
- Co-authors
- Eike SchmidtMichael SchraufWilhelm E. KincsesMichael SimonKlaus DietmayerAxel BuchnerAndreas BrunsWolfgang Rosenstiel
- Topics
- Target Tracking and Data Fusion in Sensor Networks (10 papers)Autonomous Vehicle Technology and Safety (6 papers)Time Series Analysis and Forecasting (4 papers)
- Journals
- Accident Analysis & PreventionClinical NeurophysiologyArXiv.org
- Partner nations
- GermanyUnited States
In The Last Decade
Martin Fritzsche
27 papers receiving 671 citations
Peers
Comparison fields: 5 of 78
- Experimental and Cognitive Psychology 248
- Cognitive Neuroscience 196
- Social Psychology 181
- Computer Vision and Pattern Recognition 134
- Automotive Engineering 131
Countries citing papers authored by Martin Fritzsche
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 23 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 9 | |
| 6 | 36 | |
| 7 | 5 | |
| 8 | 19 | |
| 9 | 22 | |
| 10 | 15 | |
| 11 | 5 | |
| 12 | 1 | |
| 13 | 9 | |
| 14 | 12 | |
| 15 | 203 | |
| 16 | 188 | |
| 17 | 23 | |
| 18 | 6 | |
| 19 | 8 | |
| 20 | 3 |
About Martin Fritzsche
Martin Fritzsche is a scholar working on Instrumentation, Automotive Engineering and Computer Vision and Pattern Recognition, having authored 27 papers that have together received 695 indexed citations. Recurring topics across this work include Target Tracking and Data Fusion in Sensor Networks (10 papers), Autonomous Vehicle Technology and Safety (6 papers) and Time Series Analysis and Forecasting (4 papers). The work is most often cited by research in Experimental and Cognitive Psychology (248 citations), Automotive Engineering (131 citations) and Cognitive Neuroscience (196 citations). Martin Fritzsche has collaborated with scholars based in Germany and United States. Frequent co-authors include Eike Schmidt, Michael Schrauf, Wilhelm E. Kincses, Michael Simon, Klaus Dietmayer, Axel Buchner, Andreas Bruns, Wolfgang Rosenstiel, Martin Bogdan and Hendrik Deusch. Their work appears in journals such as Accident Analysis & Prevention, Clinical Neurophysiology and ArXiv.org.
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.