D. Golubkov
Impact in
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- Scientific Computing and Data Management
- Big Data Technologies and Applications
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- Distributed and Parallel Computing Systems
- Advanced Data Storage Technologies
Papers in
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- Distributed and Parallel Computing Systems 9
- Advanced Data Storage Technologies 5
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- Scientific Computing and Data Management 6
- Big Data Technologies and Applications 1
- Co-authors
- A. Klimentov (9 shared papers)K. De (4 shared papers)A. Vaniachine (1 shared paper)M. Potekhin (1 shared paper)R. Walker (2 shared papers)M. Borodin (6 shared papers)T. Maeno (4 shared papers)J. Cantero (1 shared paper)
- Journals
- Journal of Physics Conference Series (3 papers)CERN Document Server (European Organization for Nuclear Research) (1 paper)CERN Document Server (European Organization for Nuclear Research) (3 papers)EPJ Web of Conferences (2 papers)
- Partner nations
- RussiaUnited StatesGermany
In The Last Decade
D. Golubkov
7 papers receiving 51 citations
Peers
Comparison fields: 5 of 11
- Information Systems and Management 27
- Computer Networks and Communications 49
- Nuclear and High Energy Physics 19
- Hardware and Architecture 6
- Instrumentation 1
Countries citing papers authored by D. Golubkov
This map shows the geographic impact of D. Golubkov'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 D. Golubkov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Golubkov more than expected).
Fields of papers citing papers by D. Golubkov
This network shows the impact of papers produced by D. Golubkov. 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 D. Golubkov. The network helps show where D. Golubkov may publish in the future.
Co-authors
The 25 scholars most cited alongside D. Golubkov, 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 | 2014 | 13 | |
| 2 | 2020 | 12 | |
| 3 | 2015 | 12 | |
| 4 | 2012 | 10 | |
| 5 | 2020 | 2 | |
| 6 | The ATLAS Production System Predictive Analytics service: an approach for intelligent task analysis | 2018 | 2 |
| 7 | PanDA Beyond ATLAS : A Scalable Workload Management System For Data Intensive Science | 2014 | 1 |
| 8 | 2019 | 0 | |
| 9 | ATLAS production system | 2016 | 0 |
About D. Golubkov
D. Golubkov is a scholar working on Computer Networks and Communications, Information Systems and Management, Nuclear and High Energy Physics, Control and Systems Engineering and Infectious Diseases, having authored 9 papers that have together received 52 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (9 papers), Scientific Computing and Data Management (6 papers), Advanced Data Storage Technologies (5 papers), Particle Detector Development and Performance (2 papers), Advanced Data Processing Techniques (1 paper) and Big Data Technologies and Applications (1 paper). The work is most often cited by research in Information Systems and Management (27 citations), Computer Networks and Communications (49 citations), Nuclear and High Energy Physics (19 citations), Hardware and Architecture (6 citations) and Instrumentation (1 citation). D. Golubkov has collaborated with scholars based in Russia, United States and Germany. Frequent co-authors include A. Klimentov, K. De, A. Vaniachine, M. Potekhin, R. Walker, M. Borodin, T. Maeno, J. Cantero, A. Vaniachine and Xin Zhao. 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) and EPJ Web of Conferences.
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.