Gábor Terstyánszky

880 total citations
54 papers, 522 citations indexed

About

Gábor Terstyánszky is a scholar working on Computer Networks and Communications, Information Systems and Management and Information Systems. According to data from OpenAlex, Gábor Terstyánszky has authored 54 papers receiving a total of 522 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Computer Networks and Communications, 31 papers in Information Systems and Management and 23 papers in Information Systems. Recurrent topics in Gábor Terstyánszky's work include Distributed and Parallel Computing Systems (36 papers), Scientific Computing and Data Management (31 papers) and Cloud Computing and Resource Management (19 papers). Gábor Terstyánszky is often cited by papers focused on Distributed and Parallel Computing Systems (36 papers), Scientific Computing and Data Management (31 papers) and Cloud Computing and Resource Management (19 papers). Gábor Terstyánszky collaborates with scholars based in United Kingdom, Hungary and Germany. Gábor Terstyánszky's co-authors include Tamás Kiss, Péter Kacsuk, Stephen Winter, Pamela Greenwell, Anastasia Anagnostou, Simon J. E. Taylor, Gábor Kecskeméti, József Kovács, Zsolt Németh and Sharron McEldowney and has published in prestigious journals such as IEEE Transactions on Industrial Informatics, Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences and Biochemical Society Transactions.

In The Last Decade

Gábor Terstyánszky

46 papers receiving 491 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Gábor Terstyánszky United Kingdom 12 388 277 221 49 42 54 522
Tamás Kiss United Kingdom 15 544 1.4× 353 1.3× 276 1.2× 64 1.3× 84 2.0× 77 725
M. Nedim Alpdemir Türkiye 5 358 0.9× 242 0.9× 386 1.7× 64 1.3× 16 0.4× 18 510
Borja Sotomayor United States 11 1.0k 2.6× 995 3.6× 170 0.8× 75 1.5× 83 2.0× 12 1.2k
Juri Papay United Kingdom 11 280 0.7× 229 0.8× 97 0.4× 83 1.7× 32 0.8× 29 382
Dariusz Król Poland 11 167 0.4× 118 0.4× 86 0.4× 90 1.8× 16 0.4× 56 346
Gábor Kecskeméti Hungary 16 564 1.5× 518 1.9× 58 0.3× 59 1.2× 29 0.7× 65 672
Dong Dai United States 11 327 0.8× 181 0.7× 60 0.3× 85 1.7× 82 2.0× 69 429
Omran Bukhres United States 12 369 1.0× 199 0.7× 43 0.2× 174 3.6× 24 0.6× 63 511
Nedyalko Borisov United States 5 383 1.0× 381 1.4× 43 0.2× 111 2.3× 35 0.8× 13 503
Anirban Mandal United States 16 851 2.2× 613 2.2× 393 1.8× 71 1.4× 187 4.5× 54 937

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
1.
Kiss, Tamás, et al.. (2020). Building Science Gateways for Analysing Molecular Docking Results Using a Generic Framework and Methodology. Journal of Grid Computing. 18(3). 529–546.
2.
Kiss, Tamás, et al.. (2020). Describing and Processing Topology and Quality of Service Parameters of Applications in the Cloud. Journal of Grid Computing. 18(4). 761–778. 10 indexed citations
3.
Kiss, Tamás, et al.. (2020). Towards a Cloud Native Big Data Platform using MiCADO. WestminsterResearch (University of Westminster). 3. 118–125. 2 indexed citations
4.
Kiss, Tamás, et al.. (2019). Extending molecular docking desktop applications with cloud computing support and analysis of results. Future Generation Computer Systems. 97. 814–824. 2 indexed citations
5.
Taylor, Simon J. E., Anastasia Anagnostou, Tamás Kiss, et al.. (2018). Enabling Cloud-Based Computational Fluid Dynamics With a Platform-as-a-Service Solution. IEEE Transactions on Industrial Informatics. 15(1). 85–94. 24 indexed citations
6.
Kiss, Tamás, et al.. (2018). A Generic Framework and Methodology for Implementing Science Gateways for Analysing Molecular Docking Results. WestminsterResearch (University of Westminster). 1 indexed citations
7.
Terstyánszky, Gábor, et al.. (2016). Simulating business processes of manufacturing SMEs on the cloud. 1 indexed citations
8.
Arshad, Junaid, Alexander Hoffmann, Sandra Gesing, et al.. (2016). Multi-level meta-workflows: new concept for regularly occurring tasks in quantum chemistry. Journal of Cheminformatics. 8(1). 58–58. 2 indexed citations
9.
Terstyánszky, Gábor, et al.. (2016). Validating Scanned Foot Images and Designing Customized Insoles on the Cloud. WestminsterResearch (University of Westminster). 3288–3296. 6 indexed citations
10.
Arshad, Junaid, et al.. (2015). A Definition and Analysis of the Role of Meta-workflows in Workflow Interoperability. WestminsterResearch (University of Westminster). 5. 8–15. 2 indexed citations
11.
Winter, Stephen, Tamás Kiss, Gábor Terstyánszky, et al.. (2014). Buttressing volatile desktop grids with cloud resources within a reconfigurable environment service for workflow orchestration. Journal of Cloud Computing Advances Systems and Applications. 3(1). 1–1. 45 indexed citations
12.
Gesing, Sandra, Malcolm Atkinson, Rosa Filgueira, et al.. (2014). Workflows in a Dashboard: A New Generation of Usability. ORCA Online Research @Cardiff (Cardiff University). 14. 82–93. 7 indexed citations
13.
Kacsuk, Péter, Gábor Terstyánszky, Tamás Kiss, & Gergely Sipos. (2013). Flexible workflow sharing and execution services for e-scientists. EGUGA. 2 indexed citations
14.
Korkhov, Vladimir, et al.. (2011). Exploring workflow interoperability tools for neuroimaging data analysis. Pure Amsterdam UMC. 87–96. 7 indexed citations
15.
Kiss, Tamás, et al.. (2009). Integrating Open Grid Services Architecture Data Access and Integration with computational Grid workflows. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 367(1897). 2521–2532. 1 indexed citations
16.
Kiss, Tamás, et al.. (2008). A general and scalable solution for heterogeneous workflow invocation and nesting. WestminsterResearch (University of Westminster). 1–8. 11 indexed citations
17.
Kiss, Tamás, et al.. (2006). Dynamic testing of legacy code resources on the grid. 261–268. 1 indexed citations
18.
Kecskeméti, Gábor, et al.. (2005). Automatic deployment of interoperable legacy code services. WestminsterResearch (University of Westminster). 1 indexed citations
19.
Kacsuk, Péter, et al.. (2004). GEMLCA: grid execution management for legacy code architecture design. 477–483. 9 indexed citations
20.
Kacsuk, Péter, et al.. (2004). GEMLCA: grid execution management for legacy code architecture design. WestminsterResearch (University of Westminster). 477–483. 7 indexed citations

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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