Peter Gemmar

812 citations
19 papers · 514 · h-index 10

Impact in

Papers in

    • Medical Image Segmentation Techniques 5
    • Image Processing and 3D Reconstruction 3
    • Image and Object Detection Techniques 2
    • Digital Image Processing Techniques 2
    • Neurological disorders and treatments 5

Peter Gemmar

18 papers receiving 495 citations

Peers

Peter Gemmar
Comparison fields: 5 of 84
  • Neurology 250
  • Cellular and Molecular Neuroscience 64
  • Environmental Engineering 46
  • Water Science and Technology 41
  • Renewable Energy, Sustainability and the Environment 47
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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

19 of 19 papers shown
#Work
1 2017172
2 200686
3 200477
4 200737
5 199934
6 201731
7 201316
8
Machine supported Development of Fuzzy - Flood Forecast Systems
200016
9 201813
10 20169
11 20158
12 20024
13 20153
14 20123
15
Improving the Consistency of Manual Deep Brain Structure Segmentations by Combining Variational Interpolation, Simultaneous Multi-Modality Visualisation and Histogram Equilisation
20142
16 20101
17
Shape-aware 3D Interpolation using Statistical Shape Models
20151
18 19911
19 20200

About Peter Gemmar

Peter Gemmar is a scholar working on Computer Vision and Pattern Recognition, Neurology, Computational Mechanics, Artificial Intelligence and Cellular and Molecular Neuroscience, having authored 19 papers that have together received 514 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (5 papers), Neurological disorders and treatments (5 papers), 3D Shape Modeling and Analysis (3 papers), Image Processing and 3D Reconstruction (3 papers), Image and Object Detection Techniques (2 papers), Digital Image Processing Techniques (2 papers), Hydrological Forecasting Using AI (2 papers) and Neuroscience and Neural Engineering (2 papers). The work is most often cited by research in Neurology (250 citations), Cellular and Molecular Neuroscience (64 citations), Environmental Engineering (46 citations), Water Science and Technology (41 citations) and Renewable Energy, Sustainability and the Environment (47 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, Martin Bettag, Mark Züchner, Bernhard Noll and Florian Bernard. Their work appears in journals such as Journal of Voice, Hydrological Sciences Journal, Computers & Graphics, 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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