Radu Jurca
Impact in
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- Mobile Crowdsensing and Crowdsourcing
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- Auction Theory and Applications
- Game Theory and Applications
Papers in
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- Auction Theory and Applications 21
- Game Theory and Applications 10
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- Mobile Crowdsensing and Crowdsourcing 8
- Journals
- ACM Transactions on the Web (1 paper)Journal of Artificial Intelligence Research (1 paper)ACM Transactions on Intelligent Systems and Technology (1 paper)IEEE Transactions on Computers (1 paper)Adaptive Agents and Multi-Agents Systems (1 paper)
- Partner nations
- SwitzerlandUnited StatesAustralia
In The Last Decade
Radu Jurca
28 papers receiving 759 citations
Peers
Comparison fields: 5 of 57
- Computer Science Applications 222
- Management Science and Operations Research 308
- Information Systems 311
- Computer Networks and Communications 259
- Artificial Intelligence 350
Countries citing papers authored by Radu Jurca
This map shows the geographic impact of Radu Jurca'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 Radu Jurca with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Radu Jurca more than expected).
Fields of papers citing papers by Radu Jurca
This network shows the impact of papers produced by Radu Jurca. 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 Radu Jurca. The network helps show where Radu Jurca may publish in the future.
Co-authorship network
The 6 scholars most cited alongside Radu Jurca, 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 | 2016 | 60 | |
| 2 | Eliciting Truthful Information with the Peer Truth Serum | 2014 | 1 |
| 3 | 2013 | 39 | |
| 4 | Incentives for Answering Hypothetical Questions | 2011 | 20 |
| 5 | 2010 | 24 | |
| 6 | 2009 | 18 | |
| 7 | 2008 | 1 | |
| 8 | 2008 | 26 | |
| 9 | 2008 | 5 | |
| 10 | Reliable and Inexpensive QoS Monitoring in Service Markets. | 2007 | 0 |
| 11 | 2007 | 20 | |
| 12 | Reporting Incentives in Online Feedback Forums: The Influence of Effort | 2007 | 0 |
| 13 | 2007 | 36 | |
| 14 | 2007 | 51 | |
| 15 | 2005 | 9 | |
| 16 | Eliminating Undesired Equilibrium Points from Incentive Compatible Reputation Mechanisms | 2005 | 1 |
| 17 | Truthful Reputation Information in Electronic Markets without Independent Verification | 2004 | 1 |
| 18 | 2004 | 16 | |
| 19 | 2003 | 36 | |
| 20 | 2003 | 144 |
About Radu Jurca
Radu Jurca is a scholar working on Management Science and Operations Research, Computer Science Applications, Information Systems, Artificial Intelligence and Safety Research, having authored 30 papers that have together received 817 indexed citations. Recurring topics across this work include Auction Theory and Applications (21 papers), Game Theory and Applications (10 papers), Access Control and Trust (8 papers), Mobile Crowdsensing and Crowdsourcing (8 papers), Cryptography and Data Security (6 papers), Blockchain Technology Applications and Security (6 papers), Data Stream Mining Techniques (3 papers) and Spam and Phishing Detection (2 papers). The work is most often cited by research in Computer Science Applications (222 citations), Management Science and Operations Research (308 citations), Information Systems (311 citations), Computer Networks and Communications (259 citations) and Artificial Intelligence (350 citations). Radu Jurca has collaborated with scholars based in Switzerland, United States and Australia. Frequent co-authors include Boi Faltings, Boi Faltings, Walter Binder, Goran Radanović, Florent Garcin and Pearl Pu. Their work appears in journals such as ACM Transactions on the Web, Journal of Artificial Intelligence Research, ACM Transactions on Intelligent Systems and Technology, IEEE Transactions on Computers and Adaptive Agents and Multi-Agents 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.