Thomas Gschwind

604 citations
36 papers · 456 · h-index 12

Impact in

Papers in

Thomas Gschwind

32 papers receiving 411 citations

Peers

Thomas Gschwind
Comparison fields: 5 of 36
  • Software 87
  • Management Information Systems 138
  • Information Systems 339
  • Artificial Intelligence 263
  • Computer Networks and Communications 164
Replace Kevlin Henney with:
Kevlin Henney Germany
Wasif Gilani United Kingdom
Loris Penserini Italy
David B. Leblang Germany
Ingo Melzer Germany
Hans W. Nissen Germany
Holger Eichelberger Germany
Srinivas Padmanabhuni India
Kasper Østerbye Denmark
Christer Fernström France
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Citations per year

Countries citing papers authored by Thomas Gschwind

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Gschwind

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Thomas Gschwind, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Thomas Gschwind Line = papers co-authored together Thomas Gschwind links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200782
2 200879
3 200860
4 200327
5 200323
6 200920
7 200518
8 200318
9 200517
10 201315
11 200815
12 200813
13 200211
14 20049
15 20237
16 20027
17
PSTL: a C++ persistent standard template library
20015
18
NewsCache: a high performance cache implementation for Usenet news
19995
19 20223
20 20023

About Thomas Gschwind

Thomas Gschwind is a scholar working on Information Systems, Computer Networks and Communications, Artificial Intelligence, Management Information Systems and Software, having authored 36 papers that have together received 456 indexed citations. Recurring topics across this work include Service-Oriented Architecture and Web Services (14 papers), Advanced Software Engineering Methodologies (11 papers), Software System Performance and Reliability (9 papers), Software Engineering Research (9 papers), Business Process Modeling and Analysis (7 papers), Advanced Database Systems and Queries (5 papers), Model-Driven Software Engineering Techniques (3 papers) and Distributed systems and fault tolerance (3 papers). The work is most often cited by research in Software (87 citations), Management Information Systems (138 citations), Information Systems (339 citations), Artificial Intelligence (263 citations) and Computer Networks and Communications (164 citations). Thomas Gschwind has collaborated with scholars based in Austria, Switzerland and United States. Frequent co-authors include Olaf Zimmermann, Frank Leymann, Jana Koehler, Jochen M. Küster, Uwe Zdun, Harald C. Gall, Martin Pinzger, Stefan Pleisch, Kave Eshghi and Pankaj Garg. Their work appears in journals such as Lecture notes in computer science, IEEE Transactions on Software Engineering, Journal of Visual Languages & Computing, IBM Journal of Research and Development and Electronic Notes in Theoretical Computer Science.

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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