Gábor Terstyánszky

46 papers receiving 491 citations

Peers

Gábor Terstyánszky
Comparison fields: 5 of 67
  • Computer Networks and Communications 388
  • Information Systems 277
  • Information Systems and Management 221
  • Artificial Intelligence 49
  • Hardware and Architecture 42
Replace Tamás Kiss with:
Tamás Kiss United Kingdom
Gábor Kecskeméti Hungary
Anirban Mandal United States
Borja Sotomayor United States
M. Nedim Alpdemir Türkiye
Juri Papay United Kingdom
Dariusz Król Poland
Harold Lim United States
Kate Keahey United States
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Gábor Terstyánszky relative to Tamás Kiss United Kingdom Tamás Kiss's profile →
Citations per field
00.5×1.5×
Tamás Kiss · 1×
Citations per year

Countries citing papers authored by Gábor Terstyánszky

Since Specialization
Citations

This map shows the geographic impact of Gábor Terstyánszky'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 Gábor Terstyánszky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gábor Terstyánszky more than expected).

Fields of papers citing papers by Gábor Terstyánszky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gábor Terstyánszky. 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 Gábor Terstyánszky. The network helps show where Gábor Terstyánszky may publish in the future.

Co-authorship network of co-authors of Gábor Terstyánszky

This figure shows the co-authorship network connecting the top 25 collaborators of Gábor Terstyánszky. A scholar is included among the top collaborators of Gábor Terstyánszky 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 Gábor Terstyánszky. Gábor Terstyánszky is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 10
2 0
3 2
4 5
5 2
6 24
7
A Generic Framework and Methodology for Implementing Science Gateways for Analysing Molecular Docking Results
1
8 2
9 6
10 2
11 45
12 7
13 9
14
Flexible workflow sharing and execution services for e-scientists
2
15
Proceedings of the 8th Workshop on Workflows in Support of Large-Scale Science
3
16 11
17 1
18 1
19
Automatic deployment of interoperable legacy code services
1
20 9

About Gábor Terstyánszky

Gábor Terstyánszky is a scholar working on Information Systems and Management, Computer Networks and Communications and Hardware and Architecture, having authored 54 papers that have together received 522 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (36 papers), Scientific Computing and Data Management (31 papers) and Cloud Computing and Resource Management (19 papers). The work is most often cited by research in Information Systems and Management (221 citations), Computer Networks and Communications (388 citations) and Information Systems (277 citations). Gábor Terstyánszky has collaborated with scholars based in United Kingdom, Hungary and Germany. Frequent co-authors include Tamás Kiss, Péter Kacsuk, Stephen Winter, Pamela Greenwell, Simon J. E. Taylor, Anastasia Anagnostou, Gábor Kecskeméti, József Kovács, Ákos Hajnal and Zsolt Németh. Their work appears in journals such as IEEE Transactions on Industrial Informatics, Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences and Biochemical Society Transactions.

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.

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