Daniel Bleichenbacher

1.3k citations
8 papers · 51 · h-index 5

Impact in

Papers in

Journals
Theoretical Computer Science (1 paper)ETH Zürich Research Collection (1 paper)Research Portal (Queen's University Belfast) (1 paper)Repository for Publications and Research Data (ETH Zurich) (1 paper)

In The Last Decade

Daniel Bleichenbacher

7 papers receiving 43 citations

Peers

Daniel Bleichenbacher
Comparison fields: 5 of 28
  • Rehabilitation 11
  • Algebra and Number Theory 7
  • Human-Computer Interaction 6
  • Artificial Intelligence 32
  • Discrete Mathematics and Combinatorics 2
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Citations per field
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Citations per year

Countries citing papers authored by Daniel Bleichenbacher

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Bleichenbacher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 199613
2 200712
3 20059
4
On secure and pseudonymous client-relationships with multiple servers
19988
5
Chosen Ciphertext Attacks Against Protocols Based on the RSA Encryption Standard PKCS1
19984
6 20114
7 19931
8
SOBER Crytanalysis
19990

About Daniel Bleichenbacher

Daniel Bleichenbacher is a scholar working on Artificial Intelligence, Computer Networks and Communications, Neurology, Rehabilitation and Computer Vision and Pattern Recognition, having authored 8 papers that have together received 51 indexed citations. Recurring topics across this work include Botulinum Toxin and Related Neurological Disorders (2 papers), Cryptographic Implementations and Security (2 papers), Stroke Rehabilitation and Recovery (2 papers), Coding theory and cryptography (2 papers), Chaos-based Image/Signal Encryption (2 papers), Hermeneutics and Narrative Identity (1 paper), Health, Medicine and Society (1 paper) and Diverse Scientific and Engineering Research (1 paper). The work is most often cited by research in Rehabilitation (11 citations), Algebra and Number Theory (7 citations), Human-Computer Interaction (6 citations), Artificial Intelligence (32 citations) and Discrete Mathematics and Combinatorics (2 citations). Daniel Bleichenbacher has collaborated with scholars based in United States, Switzerland and Israel. Frequent co-authors include Aggelos Kiayias, Moti Yung, S. V. Adamovich, Alain Mayer, Phillip B. Gibbons, Yossi Matias, Eran Gabber, Sergei V. Adamovich, Robert Riener and Marco Guidali. Their work appears in journals such as Theoretical Computer Science, ETH Zürich Research Collection, Research Portal (Queen's University Belfast) and Repository for Publications and Research Data (ETH Zurich).

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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