Jan Hoffmann

1.7k citations
41 papers · 578 · h-index 14

Impact in

Papers in

Jan Hoffmann

39 papers receiving 559 citations

Peers

Jan Hoffmann
Comparison fields: 5 of 31
  • Software 122
  • Hardware and Architecture 182
  • Computational Theory and Mathematics 362
  • Artificial Intelligence 451
  • Computer Networks and Communications 125
Replace Sam Lindley with:
Sam Lindley United Kingdom
Todd B. Knoblock United States
Lalita Jategaonkar Jagadeesan United States
Geoffrey Washburn United States
Nishant Sinha United States
Oleg Kiselyov Japan
Jon Fairbairn United Kingdom
Wei-Ngan Chin Singapore
Gerald Lüttgen Germany
Yanhong A. Liu United States
Jan Hoffmann relative to Sam Lindley United Kingdom Sam Lindley's profile →
Citations per field
00.5×1.7×
Sam Lindley · 1×
Citations per year

Countries citing papers authored by Jan Hoffmann

Since Specialization
Citations

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

Fields of papers citing papers by Jan Hoffmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jan Hoffmann, 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 Jan Hoffmann Line = papers co-authored together Jan Hoffmann links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201154
2 201253
3 201147
4 201645
5 201541
6 201633
7 201833
8 201432
9 201221
10 201318
11 202017
12 201216
13 201815
14 201414
15 202113
16 201113
17 201811
18 20199
19 20178
20 20217

About Jan Hoffmann

Jan Hoffmann is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Hardware and Architecture, Software and Computer Networks and Communications, having authored 41 papers that have together received 578 indexed citations. Recurring topics across this work include Formal Methods in Verification (29 papers), Logic, programming, and type systems (23 papers), Parallel Computing and Optimization Techniques (12 papers), Software Testing and Debugging Techniques (8 papers), Security and Verification in Computing (5 papers), Distributed systems and fault tolerance (5 papers), Bayesian Modeling and Causal Inference (4 papers) and Logic, Reasoning, and Knowledge (4 papers). The work is most often cited by research in Software (122 citations), Hardware and Architecture (182 citations), Computational Theory and Mathematics (362 citations), Artificial Intelligence (451 citations) and Computer Networks and Communications (125 citations). Jan Hoffmann has collaborated with scholars based in United States, Germany and Spain. Frequent co-authors include Klaus Aehlig, Zhong Shao, Martin Hofmann, Di Wang, Martin Hofmann, Shu-Chun Weng, Nick Benton, Thomas Reps, Neelakantan R. Krishnaswami and Tahina Ramananandro. Their work appears in journals such as ACM SIGPLAN Notices, Proceedings of the ACM on Programming Languages, Theoretical Computer Science, Journal of Functional Programming and Theory of Computing 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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