Facility for Antiproton and Ion Research
Impact in
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- Advanced Neural Network Applications
- Multimodal Machine Learning Applications
- Human Pose and Action Recognition
- Nuclear and High Energy Physics top 10%
- Nuclear physics research studies
- High-Energy Particle Collisions Research
- Quantum Chromodynamics and Particle Interactions
Papers in
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- Nuclear physics research studies 41
- High-Energy Particle Collisions Research 28
- Particle Detector Development and Performance 27
- Quantum Chromodynamics and Particle Interactions 13
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- Particle accelerators and beam dynamics 24
- Top scholars
- Ross GirshickPiotr DollárKaiming HeAgrim GuptaCarsten RotherHaoqi FanXinlei ChenTyler Gorda
- Journals
- Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment (19 papers)Physical review. D (13 papers)The European Physical Journal A (8 papers)Physical Review C (8 papers)Physical Review Letters (5 papers)
- Partner nations
- GermanyUnited StatesRussia
In The Last Decade
Facility for Antiproton and Ion Research
160 papers receiving 7.5k citations
Peers
Comparison fields: 5 of 135
- Computer Vision and Pattern Recognition 3.6k
- Nuclear and High Energy Physics 1.4k
- Astronomy and Astrophysics 683
- Artificial Intelligence 1k
- Media Technology 232
Countries citing scholars working at Facility for Antiproton and Ion Research
This map shows the geographic impact of research produced by authors working at Facility for Antiproton and Ion 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 papers produced at Facility for Antiproton and Ion Research with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Facility for Antiproton and Ion Research more than expected).
Fields of papers published by authors at Facility for Antiproton and Ion Research
This network shows the impact of papers affiliated with Facility for Antiproton and Ion Research at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Facility for Antiproton and Ion Research at the time of their publication.
About Facility for Antiproton and Ion Research
In recent decades, authors affiliated with Facility for Antiproton and Ion Research have published 174 papers, which have received a total of 7.5k indexed citations . Scholars at this organization have produced 103 papers in Nuclear and High Energy Physics, 26 papers in Aerospace Engineering, 1 paper in Industrial relations, 24 papers in Atomic and Molecular Physics, and Optics and 17 papers in Computer Vision and Pattern Recognition on the topics of Nuclear physics research studies (41 papers), High-Energy Particle Collisions Research (28 papers), Particle Detector Development and Performance (27 papers), Particle accelerators and beam dynamics (24 papers), Quantum Chromodynamics and Particle Interactions (13 papers), Atomic and Molecular Physics (12 papers), Multimodal Machine Learning Applications (7 papers) and Cold Atom Physics and Bose-Einstein Condensates (6 papers). Their work is cited by papers focused on Computer Vision and Pattern Recognition (3.6k citations), Nuclear and High Energy Physics (1.4k citations), Astronomy and Astrophysics (683 citations), Artificial Intelligence (1k citations) and Media Technology (232 citations). Authors at Facility for Antiproton and Ion Research collaborate with scholars in Germany, United States and Russia and have published in prestigious journals including Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, Physical review. D, The European Physical Journal A, Physical Review C and Physical Review Letters. Some of Facility for Antiproton and Ion Research's most productive authors include Ross Girshick, Piotr Dollár, Kaiming He, Agrim Gupta, Carsten Rother, Haoqi Fan, Xinlei Chen, Tyler Gorda, A. Aprahamian and Gabriel Martínez-Pinedo.
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.