S. Kama
Impact in
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- Parallel Computing and Optimization Techniques
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- Advanced Data Storage Technologies
- Distributed and Parallel Computing Systems
- Software System Performance and Reliability
Papers in
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- Distributed and Parallel Computing Systems 5
- Advanced Data Storage Technologies 4
- IoT and Edge/Fog Computing 1
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- Particle physics theoretical and experimental studies 5
- Particle Detector Development and Performance 5
- Co-authors
- C. Leggett (1 shared paper)P. Calafiura (1 shared paper)Miyoung Choi (1 shared paper)D. Levinthal (1 shared paper)Krishnaram Kenthapadi (1 shared paper)D. Emeliyanov (2 shared papers)A. Tavares Delgado (2 shared papers)M. Neumann (1 shared paper)
- Journals
- Journal of Physics Conference Series (4 papers)CERN Document Server (European Organization for Nuclear Research) (1 paper)CERN Document Server (European Organization for Nuclear Research) (2 papers)EPJ Web of Conferences (1 paper)Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (1 paper)
- Partner nations
- United StatesUnited KingdomPortugal
In The Last Decade
S. Kama
6 papers receiving 12 citations
Peers
Comparison fields: 5 of 10
- Hardware and Architecture 6
- Computer Networks and Communications 11
- Nuclear and High Energy Physics 6
- Information Systems and Management 1
- Information Systems 3
Countries citing papers authored by S. Kama
This map shows the geographic impact of S. Kama'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 S. Kama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Kama more than expected).
Fields of papers citing papers by S. Kama
This network shows the impact of papers produced by S. Kama. 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 S. Kama. The network helps show where S. Kama may publish in the future.
Co-authors
The 24 scholars most cited alongside S. Kama, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 4 | |
| 2 | 2022 | 3 | |
| 3 | 2019 | 2 | |
| 4 | 2012 | 2 | |
| 5 | 2015 | 1 | |
| 6 | 2014 | 1 | |
| 7 | 2014 | 1 | |
| 8 | An evaluation of the potential of GPUs to accelerate tracking algorithms for the ATLAS trigger | 2014 | 0 |
| 9 | 2015 | 0 |
About S. Kama
S. Kama is a scholar working on Computer Networks and Communications, Nuclear and High Energy Physics, Hardware and Architecture, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 9 papers that have together received 14 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (5 papers), Particle physics theoretical and experimental studies (5 papers), Particle Detector Development and Performance (5 papers), Advanced Data Storage Technologies (4 papers), Parallel Computing and Optimization Techniques (3 papers), Ferroelectric and Negative Capacitance Devices (1 paper), IoT and Edge/Fog Computing (1 paper) and Medical Imaging Techniques and Applications (1 paper). The work is most often cited by research in Hardware and Architecture (6 citations), Computer Networks and Communications (11 citations), Nuclear and High Energy Physics (6 citations), Information Systems and Management (1 citation) and Information Systems (3 citations). S. Kama has collaborated with scholars based in United States, United Kingdom and Portugal. Frequent co-authors include C. Leggett, P. Calafiura, Miyoung Choi, D. Levinthal, Krishnaram Kenthapadi, D. Emeliyanov, A. Tavares Delgado, M. Neumann, D. Emeliyanov and A. Messina. Their work appears in journals such as Journal of Physics Conference Series, CERN Document Server (European Organization for Nuclear Research), CERN Document Server (European Organization for Nuclear Research), EPJ Web of Conferences and Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining.
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.