J. Malka
Impact in
-
- Particle physics theoretical and experimental studies
- High-Energy Particle Collisions Research
- Particle Detector Development and Performance
- Black Holes and Theoretical Physics
-
- Scientific Computing and Data Management
Papers in
-
- Particle physics theoretical and experimental studies 2
- Particle Detector Development and Performance 2
-
- Advanced Data Storage Technologies 3
- Distributed and Parallel Computing Systems 1
- Co-authors
- Manuela Kuhn (1 shared paper)Stefan Dietrich (1 shared paper)J. Szuba (1 shared paper)Carina M. C. Lobley (1 shared paper)K. Wrona (2 shared papers)Alessandro Olivo (1 shared paper)
- Journals
- Data Science Journal (1 paper)Journal of Physics Conference Series (2 papers)Nuclear Physics B - Proceedings Supplements (1 paper)DESY (CERN, DESY, Fermilab, IHEP, and SLAC) (1 paper)Zenodo (CERN European Organization for Nuclear Research) (1 paper)
- Partner nations
- GermanyPolandUnited 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
- Spectroscopy 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 6 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 | A review of diffraction at HERA | 2014 | 1 |
| 4 | 2023 | 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 Research Data Management Practices (3 papers), Advanced Data Storage Technologies (3 papers), Scientific Computing and Data Management (2 papers), Particle physics theoretical and experimental studies (2 papers), Particle Detector Development and Performance (2 papers), Distributed and Parallel Computing Systems (1 paper), Superconducting Materials and Applications (1 paper) and Particle Accelerators and Free-Electron Lasers (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 Spectroscopy (1 citation). J. Malka has collaborated with scholars based in Germany, Poland and United States. Frequent co-authors include Manuela Kuhn, Stefan Dietrich, J. Szuba, Carina M. C. Lobley, K. Wrona and Alessandro Olivo. Their work appears in journals such as Data Science Journal, Journal of Physics Conference Series, Nuclear Physics B - Proceedings Supplements, DESY (CERN, DESY, Fermilab, IHEP, and SLAC) and Zenodo (CERN European Organization for Nuclear Research).
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.