J. Gresser
Impact in
- Nuclear and High Energy Physics top 10%
- Particle physics theoretical and experimental studies
- High-Energy Particle Collisions Research
- Quantum Chromodynamics and Particle Interactions
- Particle Detector Development and Performance
- Radiation top 10%
Papers in ⓘ
-
- Robot Manipulation and Learning 5
- Robotic Mechanisms and Dynamics 2
- Co-authors
- G. Schultz (3 shared papers)Michel Toussaint (2 shared papers)J.P. Macher (2 shared papers)R. Luthringer (2 shared papers)Jean Mercklé (1 shared paper)Nicolas Schaltenbrand (1 shared paper)M. Croissiaux (1 shared paper)J. Teiger (1 shared paper)
In The Last Decade
J. Gresser
20 papers receiving 300 citations
Peers
Comparison fields: 5 of 69
- Nuclear and High Energy Physics 94
- Radiation 41
- Cognitive Neuroscience 79
- Industrial and Manufacturing Engineering 24
- Experimental and Cognitive Psychology 29
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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1972 | 70 | |
| 2 | 1978 | 57 | |
| 3 | 1991 | 51 | |
| 4 | 1997 | 48 | |
| 5 | 1993 | 27 | |
| 6 | 1980 | 16 | |
| 7 | 1988 | 14 | |
| 8 | 1982 | 5 | |
| 9 | 2002 | 5 | |
| 10 | 1998 | 3 | |
| 11 | 2002 | 3 | |
| 12 | 2002 | 3 | |
| 13 | A Divide-and-Conquer Learning Architecture for Predicting Unknown Motion | 2001 | 2 |
| 14 | 1980 | 2 | |
| 15 | 1991 | 2 | |
| 16 | 1983 | 1 | |
| 17 | 1983 | 1 | |
| 18 | 1997 | 1 | |
| 19 | 2002 | 1 | |
| 20 | 2002 | 1 |
About J. Gresser
J. Gresser is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Artificial Intelligence, Atomic and Molecular Physics, and Optics and Cognitive Neuroscience, having authored 25 papers that have together received 314 indexed citations. Recurring topics across this work include Neural Networks and Applications (6 papers), Robot Manipulation and Learning (5 papers), Advanced Optical Imaging Technologies (3 papers), Neural dynamics and brain function (2 papers), Petri Nets in System Modeling (2 papers), Flexible and Reconfigurable Manufacturing Systems (2 papers), Robotic Mechanisms and Dynamics (2 papers) and Hand Gesture Recognition Systems (2 papers). The work is most often cited by research in Nuclear and High Energy Physics (94 citations), Radiation (41 citations), Cognitive Neuroscience (79 citations), Industrial and Manufacturing Engineering (24 citations) and Experimental and Cognitive Psychology (29 citations). J. Gresser has collaborated with scholars based in France, Germany and Romania. Frequent co-authors include G. Schultz, Michel Toussaint, J.P. Macher, R. Luthringer, Jean Mercklé, Nicolas Schaltenbrand, M. Croissiaux, J. Teiger, R. Morand and J.P. Pansart. Their work appears in journals such as Optics Communications, Neural Networks, SLEEP, Electroencephalography and Clinical Neurophysiology and Physics Letters B.
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.