Peter Gemmar

22 papers receiving 619 citations

Peers

Peter Gemmar
Comparison fields: 5 of 65
  • Neurology 287
  • Environmental Engineering 41
  • Computer Vision and Pattern Recognition 71
  • Computational Mechanics 55
  • Anesthesiology and Pain Medicine 10
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Xiaobin Zhao China
Yu Hou United States
Faisal M. Kashif United States
Jae Moon Kim South Korea
Mojtaba Nazari Iran
Wenpeng Gao China
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Countries citing papers authored by Peter Gemmar

Since Specialization
Citations

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

Fields of papers citing papers by Peter Gemmar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Peter Gemmar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Peter Gemmar Line = papers co-authored together Peter Gemmar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017203
2 200697
3 200477
4 201545
5 200740
6 201736
7 199934
8 201317
9
Machine supported Development of Fuzzy - Flood Forecast Systems
200016
10 201814
11 201612
12 201611
13 20158
14 19975
15 20024
16 20123
17 20153
18
Improving the Consistency of Manual Deep Brain Structure Segmentations by Combining Variational Interpolation, Simultaneous Multi-Modality Visualisation and Histogram Equilisation
20142
19 20152
20 19911

About Peter Gemmar

Peter Gemmar is a scholar working on Neurology, Computer Vision and Pattern Recognition, Environmental Engineering, Computational Mechanics and Artificial Intelligence, having authored 23 papers that have together received 632 indexed citations. Recurring topics across this work include Neurological disorders and treatments (6 papers), Medical Image Segmentation Techniques (5 papers), 3D Shape Modeling and Analysis (3 papers), Hydrological Forecasting Using AI (3 papers), Hydrology and Watershed Management Studies (2 papers), Logic, programming, and type systems (2 papers), Computer Science and Engineering (2 papers) and COVID-19 Clinical Research Studies (1 paper). The work is most often cited by research in Neurology (287 citations), Environmental Engineering (41 citations), Computer Vision and Pattern Recognition (71 citations), Computational Mechanics (55 citations) and Anesthesiology and Pain Medicine (10 citations). Peter Gemmar has collaborated with scholars based in Germany, Luxembourg and Denmark. Frequent co-authors include Frank Hertel, Andreas Husch, Jorge M. Gonçalves, Mikkel Steen Petersen, Florian Bernard, Johan Thunberg, Mario Zedda, Jürgen O. Schumacher, Martin Bettag and Mark Züchner. Their work appears in journals such as Stereotactic and Functional Neurosurgery, Brain stimulation, NeuroImage Clinical, Medical Image Analysis and Journal of Power Sources.

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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