J. Gresser
Impact in
- Nuclear and High Energy Physics top 10%
- Particle physics theoretical and experimental studies
- High-Energy Particle Collisions Research
- Particle Detector Development and Performance
- Quantum Chromodynamics and Particle Interactions
- Radiation top 10%
- Radiation Detection and Scintillator Technologies
Papers in
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- Photonic and Optical Devices 2
-
- Robot Manipulation and Learning 5
- Co-authors
- G. Schultz (3 shared papers)R. Luthringer (2 shared papers)J.P. Macher (2 shared papers)Michel Toussaint (2 shared papers)Jean Mercklé (2 shared papers)M. Schneegans (1 shared paper)Nicolas Schaltenbrand (1 shared paper)A. Stirling (1 shared paper)
In The Last Decade
J. Gresser
23 papers receiving 320 citations
Peers
Comparison fields: 5 of 68
- Nuclear and High Energy Physics 105
- Radiation 47
- Cognitive Neuroscience 63
- Industrial and Manufacturing Engineering 26
- Computer Vision and Pattern Recognition 42
Countries citing papers authored by J. Gresser
This map shows the geographic impact of J. Gresser'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 J. Gresser with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Gresser more than expected).
Fields of papers citing papers by J. Gresser
This network shows the impact of papers produced by J. Gresser. 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 J. Gresser. The network helps show where J. Gresser may publish in the future.
Co-authors
The 25 scholars most cited alongside J. Gresser, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1972 | 71 | |
| 2 | 1978 | 63 | |
| 3 | 1991 | 54 | |
| 4 | 1997 | 48 | |
| 5 | 1993 | 30 | |
| 6 | 1980 | 17 | |
| 7 | 1988 | 16 | |
| 8 | 1980 | 6 | |
| 9 | 1995 | 6 | |
| 10 | 1998 | 6 | |
| 11 | 2002 | 5 | |
| 12 | 1982 | 5 | |
| 13 | 1998 | 3 | |
| 14 | 2002 | 3 | |
| 15 | 2002 | 3 | |
| 16 | A Divide-and-Conquer Learning Architecture for Predicting Unknown Motion | 2001 | 2 |
| 17 | 1991 | 2 | |
| 18 | 1997 | 1 | |
| 19 | 1989 | 1 | |
| 20 | 1983 | 1 |
About J. Gresser
J. Gresser is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence and Atomic and Molecular Physics, and Optics, having authored 28 papers that have together received 348 indexed citations. Recurring topics across this work include Neural Networks and Applications (6 papers), Robot Manipulation and Learning (5 papers), Advanced Vision and Imaging (4 papers), Advanced Optical Imaging Technologies (3 papers), Petri Nets in System Modeling (2 papers), Flexible and Reconfigurable Manufacturing Systems (2 papers), Image and Object Detection Techniques (2 papers) and Photonic and Optical Devices (2 papers). The work is most often cited by research in Nuclear and High Energy Physics (105 citations), Radiation (47 citations), Cognitive Neuroscience (63 citations), Industrial and Manufacturing Engineering (26 citations) and Computer Vision and Pattern Recognition (42 citations). J. Gresser has collaborated with scholars based in France, Romania and Germany. Frequent co-authors include G. Schultz, R. Luthringer, J.P. Macher, Michel Toussaint, Jean Mercklé, M. Schneegans, Nicolas Schaltenbrand, A. Stirling, Alain Muzet and Alain Nicolas. Their work appears in journals such as Optics Communications, SLEEP, Neural Networks, Electroencephalography and Clinical Neurophysiology and Textile Research 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.