Thomas Weigert

952 citations
37 papers · 505 · h-index 11

Impact in

  • Software top 5%
    • Model-Driven Software Engineering Techniques
    • Advanced Battery Technologies Research
    • Electric and Hybrid Vehicle Technologies

Papers in

    • Advanced Software Engineering Methodologies 12
    • Logic, programming, and type systems 8
    • Logic, Reasoning, and Knowledge 6
    • Model-Driven Software Engineering Techniques 8
    • Software Reliability and Analysis Research 5

Thomas Weigert

30 papers receiving 471 citations

Peers

Thomas Weigert
Comparison fields: 5 of 47
  • Software 91
  • Automotive Engineering 146
  • Artificial Intelligence 216
  • Computer Networks and Communications 135
  • Signal Processing 62
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Citations per field
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Citations per year

Countries citing papers authored by Thomas Weigert

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Weigert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Thomas Weigert, 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 Weigert Line = papers co-authored together Thomas Weigert links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010167
2 200760
3 200858
4 199230
5 200527
6 200623
7 199319
8 199316
9 200615
10 199313
11 200511
12 19919
13 20106
14 20105
15 19985
16 19914
17 20114
18 20134
19 19914
20
Applying Enhanced Graph Clustering to Software Dependency Analysis.
20103

About Thomas Weigert

Thomas Weigert is a scholar working on Artificial Intelligence, Software, Computer Networks and Communications, Information Systems and Computational Theory and Mathematics, having authored 37 papers that have together received 505 indexed citations. Recurring topics across this work include Advanced Software Engineering Methodologies (12 papers), Model-Driven Software Engineering Techniques (8 papers), Software Engineering Research (8 papers), Logic, programming, and type systems (8 papers), Formal Methods in Verification (7 papers), Advanced Database Systems and Queries (6 papers), Logic, Reasoning, and Knowledge (6 papers) and Software Reliability and Analysis Research (5 papers). The work is most often cited by research in Software (91 citations), Automotive Engineering (146 citations), Artificial Intelligence (216 citations), Computer Networks and Communications (135 citations) and Signal Processing (62 citations). Thomas Weigert has collaborated with scholars based in United States, Austria and Ukraine. Frequent co-authors include Keryn Lian, Jeffrey J. P. Tsai, Qifeng Tian, Zhenwei Yu, Jeffrey Tsai, Hung-Chin Jang, Xuhua Liu, A. A. Letichevsky, Sanjay Madria and С. В. Баранов. Their work appears in journals such as Information Sciences, IEEE Transactions on Knowledge and Data Engineering, Computer Networks, IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) and ACM Transactions on Autonomous and Adaptive Systems.

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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