Peter Gemmar

801 total citations
19 papers, 501 citations indexed

About

Peter Gemmar is a scholar working on Computer Vision and Pattern Recognition, Neurology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Peter Gemmar has authored 19 papers receiving a total of 501 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 5 papers in Neurology and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Peter Gemmar's work include Medical Image Segmentation Techniques (5 papers), Neurological disorders and treatments (5 papers) and Parkinson's Disease Mechanisms and Treatments (4 papers). Peter Gemmar is often cited by papers focused on Medical Image Segmentation Techniques (5 papers), Neurological disorders and treatments (5 papers) and Parkinson's Disease Mechanisms and Treatments (4 papers). Peter Gemmar collaborates with scholars based in Germany, Luxembourg and Denmark. Peter Gemmar's co-authors include Frank Hertel, Andreas Husch, Jorge Gonçalves, Mikkel Steen Petersen, Jürgen Schumacher, Mario Zedda, Martin Bettag, Florian Bernard, Mark Züchner and Bernhard Noll and has published in prestigious journals such as Journal of Power Sources, Neurosurgery and Medical Image Analysis.

In The Last Decade

Peter Gemmar

18 papers receiving 482 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Peter Gemmar Germany 10 256 123 74 54 53 19 501
Ningbo Yu China 15 94 0.4× 30 0.2× 52 0.7× 39 0.7× 192 3.6× 116 800
Brian Deegan Ireland 12 147 0.6× 17 0.1× 49 0.7× 29 0.5× 18 0.3× 47 469
Yiling Cai China 14 84 0.3× 20 0.2× 45 0.6× 155 2.9× 66 1.2× 41 606
Hisaya Tanaka Japan 10 62 0.2× 14 0.1× 48 0.6× 8 0.1× 81 1.5× 79 519
Khalil AlSharabi Saudi Arabia 14 46 0.2× 95 0.8× 128 1.7× 49 0.9× 409 7.7× 25 723
Rupert Faltermeier Germany 12 133 0.5× 43 0.3× 37 0.5× 12 0.2× 70 1.3× 21 456
Benjamin Metcalfe United Kingdom 12 11 0.0× 146 1.2× 93 1.3× 28 0.5× 131 2.5× 63 408
Shanliang Liu China 14 152 0.6× 73 0.6× 91 1.2× 22 0.4× 13 0.2× 40 576
Muhammad Abul Hasan Pakistan 12 22 0.1× 50 0.4× 39 0.5× 34 0.6× 151 2.8× 41 513
Ákos Jobbágy Hungary 12 88 0.3× 30 0.2× 21 0.3× 6 0.1× 54 1.0× 46 459

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-authorship network of co-authors of Peter Gemmar

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Gemmar. A scholar is included among the top collaborators of Peter Gemmar 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 Peter Gemmar. Peter Gemmar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Gemmar, Peter. (2020). Mortality Prediction for COVID-19 Patients: Methods and Potential. Journal of Bacteriology & Parasitology. 11(4). 1–9.
2.
Husch, Andreas, Mikkel Steen Petersen, Peter Gemmar, et al.. (2018). Post-operative deep brain stimulation assessment: Automatic data integration and report generation. Brain stimulation. 11(4). 863–866. 13 indexed citations
3.
Husch, Andreas, Mikkel Steen Petersen, Peter Gemmar, Jorge Gonçalves, & Frank Hertel. (2017). PaCER - A fully automated method for electrode trajectory and contact reconstruction in deep brain stimulation. NeuroImage Clinical. 17. 80–89. 161 indexed citations
4.
Bernard, Florian, Luis Salamanca, Johan Thunberg, et al.. (2017). Shape-aware surface reconstruction from sparse 3D point-clouds. Medical Image Analysis. 38. 77–89. 30 indexed citations
5.
Bernard, Florian, Nikos Vlassis, Peter Gemmar, et al.. (2016). Fast correspondences for statistical shape models of brain structures. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9784. 97840R–97840R. 9 indexed citations
6.
Hertel, Frank, Andreas Husch, Georges Dooms, Florian Bernard, & Peter Gemmar. (2015). Susceptibility-Weighted MRI for Deep Brain Stimulation: Potentials in Trajectory Planning. Stereotactic and Functional Neurosurgery. 93(5). 303–308. 8 indexed citations
7.
Bernard, Florian, et al.. (2015). Shape-aware 3D Interpolation using Statistical Shape Models. Open Repository and Bibliography (University of Luxembourg). 1 indexed citations
8.
Bernard, Florian, Johan Thunberg, Andreas Husch, et al.. (2015). Transitively Consistent and Unbiased Multi-Image Registration using Numerically Stable Transformation Synchronisation. Open Repository and Bibliography (University of Luxembourg). 3 indexed citations
9.
Bernard, Florian, Peter Gemmar, Andreas Husch, et al.. (2014). Improving the Consistency of Manual Deep Brain Structure Segmentations by Combining Variational Interpolation, Simultaneous Multi-Modality Visualisation and Histogram Equilisation. Open Repository and Bibliography (University of Luxembourg). 2 indexed citations
10.
Bernard, Florian, Christian Eric Deuter, Peter Gemmar, & Hartmut Schächinger. (2013). Eyelid contour detection and tracking for startle research related eye-blink measurements from high-speed video records. Computer Methods and Programs in Biomedicine. 112(1). 22–37. 16 indexed citations
11.
Bernard, Florian, Peter Gemmar, Andreas Husch, & Frank Hertel. (2012). Improvements on the Feasibility of Active Shape Model-based Subthalamic Nucleus Segmentation. Biomedizinische Technik/Biomedical Engineering. 57(SI-1-Track-B). 3 indexed citations
12.
Gemmar, Peter, et al.. (2010). MER Feature Analysis and Selection for Computer-Aided GPe/GPi Navigation. 7(7). 1 indexed citations
13.
Casper, Markus, et al.. (2007). Fuzzy logic-based rainfall—runoff modelling using soil moisture measurements to represent system state. Hydrological Sciences Journal. 52(3). 478–490. 37 indexed citations
14.
15.
Schumacher, Jürgen, et al.. (2004). Control of miniature proton exchange membrane fuel cells based on fuzzy logic. Journal of Power Sources. 129(2). 143–151. 77 indexed citations
16.
Gemmar, Peter, et al.. (2002). An object oriented approach for an iconic kernel system IKS. ii. 85–90. 4 indexed citations
17.
Gemmar, Peter, et al.. (2000). Machine supported Development of Fuzzy - Flood Forecast Systems. 16 indexed citations
18.
19.
Gemmar, Peter, et al.. (1991). Design of an Iconic Kernel System. Computers & Graphics. 15(4). 483–493. 1 indexed citations

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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