Thomas Holenstein

1.3k citations
35 papers · 733 · h-index 14

Impact in

Papers in

Thomas Holenstein

33 papers receiving 691 citations

Peers

Thomas Holenstein
Comparison fields: 5 of 49
  • Computational Theory and Mathematics 294
  • Artificial Intelligence 553
  • Computer Vision and Pattern Recognition 124
  • Hardware and Architecture 34
  • Computer Networks and Communications 111
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Countries citing papers authored by Thomas Holenstein

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Holenstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200780
2 200972
3
200970
4 201166
5
Trace reconstruction with constant deletion probability and related results
200852
6 200651
7 200549
8 200248
9 201437
10 201133
11 200320
12 201018
13 201814
14 201214
15 201612
16 200412
17 200911
18 202010
19
Subsampling Mathematical Relaxations and Average-case Complexity
20108
20 20217

About Thomas Holenstein

Thomas Holenstein is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Computer Vision and Pattern Recognition, Computer Networks and Communications and Control and Systems Engineering, having authored 35 papers that have together received 733 indexed citations. Recurring topics across this work include Cryptography and Data Security (14 papers), Cryptographic Implementations and Security (10 papers), Complexity and Algorithms in Graphs (8 papers), Coding theory and cryptography (6 papers), Magnetic Bearings and Levitation Dynamics (6 papers), Tribology and Lubrication Engineering (5 papers), Electric Motor Design and Analysis (5 papers) and Chaos-based Image/Signal Encryption (5 papers). The work is most often cited by research in Computational Theory and Mathematics (294 citations), Artificial Intelligence (553 citations), Computer Vision and Pattern Recognition (124 citations), Hardware and Architecture (34 citations) and Computer Networks and Communications (111 citations). Thomas Holenstein has collaborated with scholars based in Switzerland, United States and India. Frequent co-authors include Renato Renner, Iftach Haitner, Stefano Tessaro, Matthias Fitzi, Martin Hirt, Rina Panigrahy‎, Udi Wieder, Michael Mitzenmacher, Johann Walter Kolar and Daniel Gottesman. Their work appears in journals such as Lecture notes in computer science, Journal of Cryptology, IEEE Open Journal of the Industrial Electronics Society, Theory of Computing and IEEE Transactions on Information Theory.

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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