Tim Ruffing
Impact in
- Information Systems top 5%
- Blockchain Technology Applications and Security
- Cloud Data Security Solutions
- Artificial Intelligence top 10%
- Cryptography and Data Security
- Internet Traffic Analysis and Secure E-voting
- Privacy-Preserving Technologies in Data
Papers in
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- Blockchain Technology Applications and Security 7
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- Cryptography and Data Security 7
- Internet Traffic Analysis and Secure E-voting 3
- Privacy-Preserving Technologies in Data 2
- Co-authors
- Aniket Kate (4 shared papers)Pedro Moreno-Sánchez (2 shared papers)Dominique Schröder (4 shared papers)Russell W. F. Lai (1 shared paper)Jiafan Wang (1 shared paper)Sri Aravinda Krishnan Thyagarajan (2 shared papers)Rainer Böhme (1 shared paper)Tyler Moore (1 shared paper)
- Journals
- Communications of the ACM (1 paper)Proceedings on Privacy Enhancing Technologies (1 paper)Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security (1 paper)
- Partner nations
- GermanyUnited StatesAustria
In The Last Decade
Tim Ruffing
9 papers receiving 176 citations
Peers
Comparison fields: 5 of 31
- Information Systems 151
- Artificial Intelligence 122
- Management Information Systems 15
- Computer Networks and Communications 36
- Computer Vision and Pattern Recognition 30
Countries citing papers authored by Tim Ruffing
This map shows the geographic impact of Tim Ruffing'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 Tim Ruffing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim Ruffing more than expected).
Fields of papers citing papers by Tim Ruffing
This network shows the impact of papers produced by Tim Ruffing. 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 Tim Ruffing. The network helps show where Tim Ruffing may publish in the future.
Co-authors
The 13 scholars most cited alongside Tim Ruffing, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 76 | |
| 2 | 2015 | 37 | |
| 3 | 2019 | 29 | |
| 4 | 2017 | 13 | |
| 5 | 2022 | 13 | |
| 6 | 2020 | 8 | |
| 7 | 2013 | 4 | |
| 8 | Computational Soundness Results for ProVerif - Bridging the Gap from Trace Properties to Uniformity. | 2014 | 2 |
| 9 | 2018 | 2 |
About Tim Ruffing
Tim Ruffing is a scholar working on Information Systems, Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition and Signal Processing, having authored 9 papers that have together received 184 indexed citations. Recurring topics across this work include Cryptography and Data Security (7 papers), Blockchain Technology Applications and Security (7 papers), Internet Traffic Analysis and Secure E-voting (3 papers), Privacy-Preserving Technologies in Data (2 papers), Distributed systems and fault tolerance (2 papers), Advanced Steganography and Watermarking Techniques (1 paper), Advanced Authentication Protocols Security (1 paper) and Peer-to-Peer Network Technologies (1 paper). The work is most often cited by research in Information Systems (151 citations), Artificial Intelligence (122 citations), Management Information Systems (15 citations), Computer Networks and Communications (36 citations) and Computer Vision and Pattern Recognition (30 citations). Tim Ruffing has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Aniket Kate, Pedro Moreno-Sánchez, Dominique Schröder, Russell W. F. Lai, Jiafan Wang, Sri Aravinda Krishnan Thyagarajan, Rainer Böhme, Tyler Moore, Neha Narula and Esfandiar Mohammadi. Their work appears in journals such as Communications of the ACM, Proceedings on Privacy Enhancing Technologies and Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security.
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.