Tomas Toft

4.9k citations
51 papers · 3.7k · 2 hit papers · h-index 28

Impact in

Papers in

Tomas Toft

49 papers receiving 3.5k citations

Tomas Toft's Hit Papers

Privacy-Preserving Face Recognition 2009 · 459 citations
4590+5+11Years since publication100200300400

Peers

Tomas Toft
Comparison fields: 5 of 134
  • Psychiatry and Mental health 797
  • Artificial Intelligence 1.9k
  • Computational Theory and Mathematics 589
  • Information Systems 688
  • Signal Processing 212
Replace Yun Cheng Shen with:
Yun Cheng Shen China
Matthew T.M. Broadbent United Kingdom
Jane Alty United Kingdom
NEIL R. BURCH Canada
Michael Lowry United States
Paul Dagum United States
Serguei Pakhomov United States
John Clements United States
Aviv Segev Israel
Johan Schubert Sweden
Tomas Toft relative to Yun Cheng Shen China Yun Cheng Shen's profile →
Citations per field
00.5×2×4×6×8×9.3×
Yun Cheng Shen · 1×
Citations per year

Countries citing papers authored by Tomas Toft

Since Specialization
Citations

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

Fields of papers citing papers by Tomas Toft

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Privacy-Preserving Face Recognition
Hit paper breakdown →
2009459
2
Secure Multiparty Computation Goes Live
Hit paper breakdown →
2009386
3 2006331
4 2007251
5 2005204
6 2012182
7 2004180
8 2005156
9 2012154
10 2005130
11 2002115
12 2007107
13 200586
14 200672
15 200769
16 201262
17 201058
18 200555
19 201852
20 201047

About Tomas Toft

Tomas Toft is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Psychiatry and Mental health, Information Systems and Management Science and Operations Research, having authored 51 papers that have together received 3.7k indexed citations. Recurring topics across this work include Cryptography and Data Security (29 papers), Complexity and Algorithms in Graphs (21 papers), Privacy-Preserving Technologies in Data (12 papers), Psychosomatic Disorders and Their Treatments (10 papers), Cryptography and Residue Arithmetic (6 papers), Blockchain Technology Applications and Security (5 papers), Auction Theory and Applications (3 papers) and Chaos-based Image/Signal Encryption (2 papers). The work is most often cited by research in Psychiatry and Mental health (797 citations), Artificial Intelligence (1.9k citations), Computational Theory and Mathematics (589 citations), Information Systems (688 citations) and Signal Processing (212 citations). Tomas Toft has collaborated with scholars based in Denmark, Netherlands and United States. Frequent co-authors include Per Fink, Frede Olesen, Lisbeth Frostholm, Ivan Damgård, Zekeriya Erkin, Eva Ørnbøl, Kaj Sparle Christensen, Jesper Buus Nielsen, Eva Oernboel and Jorge Guajardo. Their work appears in journals such as Psychosomatic Medicine, Family Practice, Lecture notes in computer science, Journal of Psychosomatic Research and Journal of Cryptology.

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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