Thomas Dillig

1.7k citations
22 papers · 782 · h-index 14

Impact in

  • Software top 1%
    • Software Testing and Debugging Techniques
    • Software Reliability and Analysis Research
    • Parallel Computing and Optimization Techniques

Papers in

Thomas Dillig

21 papers receiving 755 citations

Peers

Thomas Dillig
Comparison fields: 5 of 32
  • Software 433
  • Hardware and Architecture 133
  • Information Systems 349
  • Signal Processing 154
  • Artificial Intelligence 452
Replace Cyrille Artho with:
Cyrille Artho Japan
Mukund Raghothaman United States
Laurent Mounier France
Martin Bravenboer Netherlands
Cemal Yılmaz Türkiye
Domagoj Babić Canada
Ajitha Rajan United Kingdom
Rajeev Joshi United States
Vijay Sundaresan Canada
Liviu Tancau United States
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Citations per field
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Cyrille Artho · 1×
Citations per year

Countries citing papers authored by Thomas Dillig

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Dillig

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside Thomas Dillig, 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 Dillig Line = papers co-authored together Thomas Dillig links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017149
2 200893
3 200777
4 201372
5 200755
6 201254
7 201146
8 201140
9 201139
10 201136
11 200826
12 201319
13 200819
14 201214
15 20109
16 20078
17 20148
18 20146
19 20105
20 20154

About Thomas Dillig

Thomas Dillig is a scholar working on Artificial Intelligence, Information Systems, Software, Computational Theory and Mathematics and Computer Networks and Communications, having authored 22 papers that have together received 782 indexed citations. Recurring topics across this work include Logic, programming, and type systems (17 papers), Software Testing and Debugging Techniques (12 papers), Formal Methods in Verification (10 papers), Software Engineering Research (9 papers), Software System Performance and Reliability (3 papers), Advanced Database Systems and Queries (3 papers), Cloud Computing and Resource Management (2 papers) and Advanced Data Storage Technologies (2 papers). The work is most often cited by research in Software (433 citations), Hardware and Architecture (133 citations), Information Systems (349 citations), Signal Processing (154 citations) and Artificial Intelligence (452 citations). Thomas Dillig has collaborated with scholars based in United States, United Kingdom and Israel. Frequent co-authors include Işıl Dillig, Alex Aiken, Yuepeng Wang, Navid Yaghmazadeh, Ken McMillan, Boyang Li, Mooly Sagiv, Peter Hawkins, Brian Hackett and Eran Yahav. Their work appears in journals such as ACM SIGPLAN Notices, Formal Methods in System Design, Proceedings of the ACM on Programming Languages, International Journal on Software Tools for Technology Transfer and Communications of the ACM.

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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