Lisa Kohl

939 citations
21 papers · 613 · h-index 11

Impact in

Papers in

Lisa Kohl

16 papers receiving 605 citations

Peers

Lisa Kohl
Comparison fields: 5 of 34
  • Artificial Intelligence 573
  • Computational Theory and Mathematics 251
  • Information Systems 128
  • Computer Vision and Pattern Recognition 87
  • Computer Networks and Communications 70
Replace Dragos Rotaru with:
Dragos Rotaru Belgium
Jorge L. Villar Spain
Germán Sáez Spain
Kathrin Hövelmanns Netherlands
Tung‐Tso Tsai Taiwan
Kihyun Kim South Korea
Yinxia Sun China
Hua Deng China
Xiaoni Du China
Lisa Kohl relative to Dragos Rotaru Belgium Dragos Rotaru's profile →
Citations per field
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Citations per year

Countries citing papers authored by Lisa Kohl

Since Specialization
Citations

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

Fields of papers citing papers by Lisa Kohl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Lisa Kohl, 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 Lisa Kohl Line = papers co-authored together Lisa Kohl links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019153
2 2019125
3 202069
4 201954
5 202148
6 202233
7 201832
8 201731
9 201820
10 202317
11 201915
12 20237
13 20205
14 20212
15 20231
16 20201
17 20230
18 20250
19 20230
20 20240

About Lisa Kohl

Lisa Kohl is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Computer Networks and Communications, having authored 21 papers that have together received 613 indexed citations. Recurring topics across this work include Cryptography and Data Security (17 papers), Complexity and Algorithms in Graphs (9 papers), Privacy-Preserving Technologies in Data (8 papers), Chaos-based Image/Signal Encryption (4 papers), Internet Traffic Analysis and Secure E-voting (2 papers), Advanced Steganography and Watermarking Techniques (2 papers), graph theory and CDMA systems (2 papers) and Optical Network Technologies (1 paper). The work is most often cited by research in Artificial Intelligence (573 citations), Computational Theory and Mathematics (251 citations), Information Systems (128 citations), Computer Vision and Pattern Recognition (87 citations) and Computer Networks and Communications (70 citations). Lisa Kohl has collaborated with scholars based in Israel, Netherlands and Germany. Frequent co-authors include Elette Boyle, Peter Schöll, Geoffroy Couteau, Niv Gilboa, Yuval Ishai, Dennis Hofheinz, Romain Gay, Thomas Attema, Peter Rindal and Ronald Cramer. Their work appears in journals such as Dental Materials, Lecture notes in computer science, Journal of Cryptology, HAL (Le Centre pour la Communication Scientifique Directe) and Open Repository and Bibliography (University of Luxembourg).

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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