Peter Gemmar

812 citations
21 papers · 540 · h-index 10

Impact in

Papers in

Peter Gemmar

20 papers receiving 519 citations

Peers

Peter Gemmar
Comparison fields: 5 of 85
  • Neurology 262
  • Cellular and Molecular Neuroscience 73
  • Environmental Engineering 54
  • Water Science and Technology 46
  • Neurology 24
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Citations per field
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Citations per year

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 25 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 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017175
2 200693
3 200477
4 200740
5 201734
6 199934
7 201317
8
Machine supported Development of Fuzzy - Flood Forecast Systems
200016
9 201814
10 201610
11 20158
12 19975
13 20024
14 20153
15 20123
16
Improving the Consistency of Manual Deep Brain Structure Segmentations by Combining Variational Interpolation, Simultaneous Multi-Modality Visualisation and Histogram Equilisation
20142
17 20152
18 20101
19
Shape-aware 3D Interpolation using Statistical Shape Models
20151
20 19911

About Peter Gemmar

Peter Gemmar is a scholar working on Neurology, Computer Vision and Pattern Recognition, Artificial Intelligence, Cellular and Molecular Neuroscience and Computational Mechanics, having authored 21 papers that have together received 540 indexed citations. Recurring topics across this work include Neurological disorders and treatments (6 papers), Medical Image Segmentation Techniques (5 papers), Hydrological Forecasting Using AI (3 papers), 3D Shape Modeling and Analysis (3 papers), Neuroscience and Neural Engineering (3 papers), Parkinson's Disease Mechanisms and Treatments (3 papers), Image Processing and 3D Reconstruction (3 papers) and Fuzzy Logic and Control Systems (2 papers). The work is most often cited by research in Neurology (262 citations), Cellular and Molecular Neuroscience (73 citations), Environmental Engineering (54 citations), Water Science and Technology (46 citations) and Neurology (24 citations). Peter Gemmar has collaborated with scholars based in Germany, Luxembourg and Denmark. Frequent co-authors include Frank Hertel, Andreas Husch, Jorge Gonçalves, Mikkel Steen Petersen, Mario Zedda, Jürgen Schumacher, Mark Züchner, Florian Bernard, Bernhard Noll and Martin Bettag. Their work appears in journals such as NeuroImage Clinical, Computer Methods and Programs in Biomedicine, Journal of Voice, Computers & Graphics and Hydrological Sciences Journal.

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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