M. Zvada
Impact in
-
- Scientific Computing and Data Management
-
- Advanced Data Storage Technologies
- Distributed and Parallel Computing Systems
- Caching and Content Delivery
- Software System Performance and Reliability
- Peer-to-Peer Network Technologies
Papers in
-
- Distributed and Parallel Computing Systems 10
- Advanced Data Storage Technologies 7
- Software System Performance and Reliability 2
-
- Scientific Computing and Data Management 5
- Co-authors
- Brian Bockelman (5 shared papers)I. Sfiligoi (5 shared papers)Todd Tannenbaum (1 shared paper)Jeremy G. Frey (1 shared paper)Timothy J. Cartwright (1 shared paper)Frank Würthwein (2 shared papers)Daniele Bonacorsi (1 shared paper)K Larson (1 shared paper)
- Journals
- Journal of Physics Conference Series (6 papers)Springer Link (Chiba Institute of Technology) (1 paper)EPJ Web of Conferences (3 papers)
- Partner nations
- United StatesGermanySwitzerland
In The Last Decade
M. Zvada
11 papers receiving 36 citations
Peers
Comparison fields: 5 of 19
- Information Systems and Management 13
- Computer Networks and Communications 32
- Hardware and Architecture 8
- Software 1
- Physical Therapy, Sports Therapy and Rehabilitation 1
Countries citing papers authored by M. Zvada
This map shows the geographic impact of M. Zvada'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 M. Zvada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Zvada more than expected).
Fields of papers citing papers by M. Zvada
This network shows the impact of papers produced by M. Zvada. 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 M. Zvada. The network helps show where M. Zvada may publish in the future.
Co-authors
The 25 scholars most cited alongside M. Zvada, 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 | 2015 | 13 | |
| 2 | 2011 | 6 | |
| 3 | 2020 | 5 | |
| 4 | 2020 | 3 | |
| 5 | 2010 | 3 | |
| 6 | 2019 | 2 | |
| 7 | 2019 | 1 | |
| 8 | 2011 | 1 | |
| 9 | 2012 | 1 | |
| 10 | 2014 | 1 | |
| 11 | 2010 | 1 | |
| 12 | 2012 | 0 |
About M. Zvada
M. Zvada is a scholar working on Computer Networks and Communications, Information Systems and Management, Information Systems, Hardware and Architecture and Artificial Intelligence, having authored 12 papers that have together received 37 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (10 papers), Advanced Data Storage Technologies (7 papers), Scientific Computing and Data Management (5 papers), Cloud Computing and Resource Management (3 papers), Parallel Computing and Optimization Techniques (3 papers), Software System Performance and Reliability (2 papers), Data Stream Mining Techniques (1 paper) and Advanced Optical Network Technologies (1 paper). The work is most often cited by research in Information Systems and Management (13 citations), Computer Networks and Communications (32 citations), Hardware and Architecture (8 citations), Software (1 citation) and Physical Therapy, Sports Therapy and Rehabilitation (1 citation). M. Zvada has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Brian Bockelman, I. Sfiligoi, Todd Tannenbaum, Jeremy G. Frey, Timothy J. Cartwright, Frank Würthwein, Daniele Bonacorsi, K Larson, S. Sarkar and S. Belforte. Their work appears in journals such as Journal of Physics Conference Series, Springer Link (Chiba Institute of Technology) 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.