J. Malka
Impact in
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- Particle physics theoretical and experimental studies
- Particle Detector Development and Performance
- High-Energy Particle Collisions Research
- Quantum Chromodynamics and Particle Interactions
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- Scientific Computing and Data Management
Papers in
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- Particle Detector Development and Performance 2
- Particle physics theoretical and experimental studies 2
- Quantum Chromodynamics and Particle Interactions 1
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- Advanced Data Storage Technologies 3
- Distributed and Parallel Computing Systems 1
- Co-authors
- Carina M. C. Lobley (1 shared paper)K. Wrona (2 shared papers)Alessandro Olivo (1 shared paper)Stefan Dietrich (1 shared paper)J. Szuba (1 shared paper)Manuela Kuhn (1 shared paper)Jonathan Taylor (1 shared paper)
- Journals
- Data Science Journal (1 paper)Journal of Physics Conference Series (2 papers)Nuclear Physics B - Proceedings Supplements (1 paper)Zenodo (CERN European Organization for Nuclear Research) (1 paper)DESY (CERN, DESY, Fermilab, IHEP, and SLAC) (1 paper)
- Partner nations
- GermanySwedenUnited States
In The Last Decade
J. Malka
5 papers receiving 5 citations
Peers
Comparison fields: 5 of 12
- Nuclear and High Energy Physics 6
- Information Systems and Management 2
- Radiation 1
- Computer Networks and Communications 2
- Astronomy and Astrophysics 1
Countries citing papers authored by J. Malka
This map shows the geographic impact of J. Malka'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. Malka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Malka more than expected).
Fields of papers citing papers by J. Malka
This network shows the impact of papers produced by J. Malka. 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. Malka. The network helps show where J. Malka may publish in the future.
Co-authors
The 7 scholars most cited alongside J. Malka, 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 | 2017 | 2 | |
| 2 | 2012 | 2 | |
| 3 | 2023 | 1 | |
| 4 | A review of diffraction at HERA | 2014 | 1 |
| 5 | 2010 | 1 | |
| 6 | 2012 | 1 | |
| 7 | 2021 | 0 |
About J. Malka
J. Malka is a scholar working on Nuclear and High Energy Physics, Computer Networks and Communications, Information Systems, Information Systems and Management and Electrical and Electronic Engineering, having authored 7 papers that have together received 8 indexed citations. Recurring topics across this work include Advanced Data Storage Technologies (3 papers), Research Data Management Practices (3 papers), Scientific Computing and Data Management (2 papers), Particle Detector Development and Performance (2 papers), Particle physics theoretical and experimental studies (2 papers), Quantum Chromodynamics and Particle Interactions (1 paper), Big Data Technologies and Applications (1 paper) and Distributed and Parallel Computing Systems (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (6 citations), Information Systems and Management (2 citations), Radiation (1 citation), Computer Networks and Communications (2 citations) and Astronomy and Astrophysics (1 citation). J. Malka has collaborated with scholars based in Germany, Sweden and United States. Frequent co-authors include Carina M. C. Lobley, K. Wrona, Alessandro Olivo, Stefan Dietrich, J. Szuba, Manuela Kuhn and Jonathan Taylor. Their work appears in journals such as Data Science Journal, Journal of Physics Conference Series, Nuclear Physics B - Proceedings Supplements, Zenodo (CERN European Organization for Nuclear Research) and DESY (CERN, DESY, Fermilab, IHEP, and SLAC).
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.