Benedikt Bünz
- Artificial Intelligence top 5%
- Information Systems top 2%
- Computer Networks and Communications top 10%
- Computer Vision and Pattern Recognition
- Management Science and Operations Research top 10%
- Co-authors
- Dan BonehJonathan BootlePieter WuilleAndrew PoelstraSven SeukenBenjamin LubinJoseph BonneauJeremy Clark
- Topics
- Auction Theory and Applications (6 papers)Consumer Market Behavior and Pricing (6 papers)Cryptography and Data Security (4 papers)
- Journals
- Information Systems ResearchZurich Open Repository and Archive (University of Zurich)Proceedings of the AAAI Conference on Artificial Intelligence
- Partner nations
- United StatesSwitzerlandCanada
In The Last Decade
Benedikt Bünz
10 papers receiving 499 citations
Hit Papers
Peers
Comparison fields: 5 of 41
- Artificial Intelligence 367
- Information Systems 338
- Computer Networks and Communications 74
- Computer Vision and Pattern Recognition 52
- Management Science and Operations Research 52
Countries citing papers authored by Benedikt Bünz
This map shows the geographic impact of Benedikt Bünz'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 Benedikt Bünz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benedikt Bünz more than expected).
Fields of papers citing papers by Benedikt Bünz
This network shows the impact of papers produced by Benedikt Bünz. 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 Benedikt Bünz. The network helps show where Benedikt Bünz may publish in the future.
Co-authorship network of co-authors of Benedikt Bünz
This figure shows the co-authorship network connecting the top 25 collaborators of Benedikt Bünz. A scholar is included among the top collaborators of Benedikt Bünz based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Benedikt Bünz. Benedikt Bünz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 5 | |
| 3 | 2 | |
| 4 | 8 | |
| 5 | Bulletproofs: Short Proofs for Confidential Transactions and Morebreakdown → | 425 |
| 6 | 9 | |
| 7 | 6 | |
| 8 | 38 | |
| 9 | 8 | |
| 10 | 7 |
About Benedikt Bünz
Benedikt Bünz is a scholar working on Marketing, Management Science and Operations Research and Management Information Systems, having authored 10 papers that have together received 509 indexed citations. Recurring topics across this work include Auction Theory and Applications (6 papers), Consumer Market Behavior and Pricing (6 papers) and Cryptography and Data Security (4 papers). The work is most often cited by research in Information Systems (338 citations), Artificial Intelligence (367 citations) and Management Science and Operations Research (52 citations). Benedikt Bünz has collaborated with scholars based in United States, Switzerland and Canada. Frequent co-authors include Dan Boneh, Jonathan Bootle, Pieter Wuille, Andrew Poelstra, Sven Seuken, Benjamin Lubin, Joseph Bonneau, Jeremy Clark, Gaby G. Dagher and Ling Ren. Their work appears in journals such as Information Systems Research, Zurich Open Repository and Archive (University of Zurich) and Proceedings of the AAAI Conference on Artificial Intelligence.
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.