J. Hřivnáč
- Computer Networks and Communications top 10%
- Information Systems and Management top 10%
- Nuclear and High Energy Physics
- Information Systems
- Computer Vision and Pattern Recognition
- Co-authors
- J. CranshawD. BarberisMarcin NowakS. González de la HozA. FavaretoJ. SánchezD. MalonR. Yuan
- Topics
- Distributed and Parallel Computing Systems (11 papers)Advanced Data Storage Technologies (9 papers)Scientific Computing and Data Management (7 papers)
- Cited by
- Information Systems and ManagementComputer Networks and CommunicationsNuclear and High Energy Physics
- Journals
- Journal of Physics Conference SeriesNuclear and Particle Physics ProceedingsCERN Document Server (European Organization for Nuclear Research)
- Partner nations
- FranceSwitzerlandUnited Kingdom
In The Last Decade
J. Hřivnáč
12 papers receiving 67 citations
Peers
Comparison fields: 5 of 7
- Computer Networks and Communications 69
- Information Systems and Management 42
- Nuclear and High Energy Physics 27
- Information Systems 7
- Computer Vision and Pattern Recognition 2
Countries citing papers authored by J. Hřivnáč
This map shows the geographic impact of J. Hřivnáč'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. Hřivnáč with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Hřivnáč more than expected).
Fields of papers citing papers by J. Hřivnáč
This network shows the impact of papers produced by J. Hřivnáč. 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. Hřivnáč. The network helps show where J. Hřivnáč may publish in the future.
Co-authorship network of co-authors of J. Hřivnáč
This figure shows the co-authorship network connecting the top 25 collaborators of J. Hřivnáč. A scholar is included among the top collaborators of J. Hřivnáč based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with J. Hřivnáč. J. Hřivnáč is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 4 | |
| 5 | 2 | |
| 6 | 5 | |
| 7 | QuerySpaces on Hadoop for the ATLAS EventIndex | 1 |
| 8 | 21 | |
| 9 | 14 | |
| 10 | 1 | |
| 11 | 7 | |
| 12 | 11 | |
| 13 | Overview of Monte Carlo simulations for ATLAS B-physics in the period 1996-1999 | 0 |
About J. Hřivnáč
J. Hřivnáč is a scholar working on Information Systems and Management, Computer Networks and Communications and Nuclear and High Energy Physics, having authored 13 papers that have together received 72 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (11 papers), Advanced Data Storage Technologies (9 papers) and Scientific Computing and Data Management (7 papers). The work is most often cited by research in Information Systems and Management (42 citations), Computer Networks and Communications (69 citations) and Nuclear and High Energy Physics (27 citations). J. Hřivnáč has collaborated with scholars based in France, Switzerland and United Kingdom. Frequent co-authors include J. Cranshaw, D. Barberis, Marcin Nowak, S. González de la Hoz, A. Favareto, J. Sánchez, D. Malon, R. Yuan, F. Prokoshin and E. J. Gallas. Their work appears in journals such as Journal of Physics Conference Series, Nuclear and Particle Physics Proceedings and CERN Document Server (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.