Sven Seuken
- Management Science and Operations Research top 2%
- Artificial Intelligence top 5%
- Computer Networks and Communications top 10%
- Economics and Econometrics top 10%
- Marketing top 10%
- Co-authors
- Shlomo ZilbersteinDavid C. ParkesBenjamin LubinStefano BattistonBenedikt BünzKamal JainSarvapali D. RamchurnEnrico Costanza
- Topics
- Auction Theory and Applications (33 papers)Consumer Market Behavior and Pricing (17 papers)Game Theory and Voting Systems (8 papers)
- Partner nations
- SwitzerlandUnited StatesGermany
In The Last Decade
Sven Seuken
48 papers receiving 569 citations
Peers
Comparison fields: 5 of 75
- Management Science and Operations Research 248
- Artificial Intelligence 244
- Computer Networks and Communications 140
- Economics and Econometrics 101
- Marketing 68
Countries citing papers authored by Sven Seuken
This map shows the geographic impact of Sven Seuken'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 Sven Seuken with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sven Seuken more than expected).
Fields of papers citing papers by Sven Seuken
This network shows the impact of papers produced by Sven Seuken. 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 Sven Seuken. The network helps show where Sven Seuken may publish in the future.
Co-authorship network of co-authors of Sven Seuken
This figure shows the co-authorship network connecting the top 25 collaborators of Sven Seuken. A scholar is included among the top collaborators of Sven Seuken 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 Sven Seuken. Sven Seuken 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 | 0 | |
| 3 | 5 | |
| 4 | 6 | |
| 5 | 4 | |
| 6 | 14 | |
| 7 | 32 | |
| 8 | 4 | |
| 9 | 4 | |
| 10 | 0 | |
| 11 | 3 | |
| 12 | 2 | |
| 13 | The power of local manipulation strategies in assignment mechanisms | 6 |
| 14 | 3 | |
| 15 | Partially Strategyproof Mechanisms for the Assignment Problem | 3 |
| 16 | 16 | |
| 17 | 15 | |
| 18 | 7 | |
| 19 | Partially-synchronized DEC-MDPs in dynamic mechanism design | 3 |
| 20 | Memory-bounded dynamic programming for DEC-POMDPs | 85 |
About Sven Seuken
Sven Seuken is a scholar working on Management Science and Operations Research, Marketing and Computer Science Applications, having authored 51 papers that have together received 595 indexed citations. Recurring topics across this work include Auction Theory and Applications (33 papers), Consumer Market Behavior and Pricing (17 papers) and Game Theory and Voting Systems (8 papers). The work is most often cited by research in Management Science and Operations Research (248 citations), Artificial Intelligence (244 citations) and Marketing (68 citations). Sven Seuken has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Shlomo Zilberstein, David C. Parkes, Benjamin Lubin, Stefano Battiston, Benedikt Bünz, Kamal Jain, Sarvapali D. Ramchurn, Enrico Costanza, Mary Czerwinski and Abraham Bernstein. Their work appears in journals such as Management Science, Information Systems Research and Autonomous Agents and Multi-Agent Systems.
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.