Goran Radanović
- Artificial Intelligence top 5%
- Computer Science Applications top 2%
- Management Science and Operations Research top 5%
- Safety Research top 5%
- Sociology and Political Science
- Co-authors
- Boi FaltingsDavid C. ParkesYang LiuRadu JurcaKaren HuangNripsuta Ani SaxenaEvan DeFilippisChristos Dimitrakakis
- Topics
- Auction Theory and Applications (12 papers)Mobile Crowdsensing and Crowdsourcing (10 papers)Game Theory and Applications (4 papers)
- Journals
- Artificial IntelligenceACM Transactions on Intelligent Systems and TechnologyAutonomous Agents and Multi-Agent Systems
- Partner nations
- SwitzerlandGermanyUnited States
In The Last Decade
Goran Radanović
23 papers receiving 382 citations
Peers
Comparison fields: 5 of 58
- Artificial Intelligence 205
- Computer Science Applications 163
- Management Science and Operations Research 154
- Safety Research 130
- Sociology and Political Science 49
Countries citing papers authored by Goran Radanović
This map shows the geographic impact of Goran Radanović'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 Goran Radanović with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Goran Radanović more than expected).
Fields of papers citing papers by Goran Radanović
This network shows the impact of papers produced by Goran Radanović. 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 Goran Radanović. The network helps show where Goran Radanović may publish in the future.
Co-authorship network of co-authors of Goran Radanović
This figure shows the co-authorship network connecting the top 25 collaborators of Goran Radanović. A scholar is included among the top collaborators of Goran Radanović 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 Goran Radanović. Goran Radanović is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | Explicable Reward Design for Reinforcement Learning Agents | 10 |
| 8 | 4 | |
| 9 | Multi-View Decision Processes: The Helper-AI Problem | 8 |
| 10 | Subjective fairness: Fairness is in the eye of the beholder | 1 |
| 11 | 18 | |
| 12 | 4 | |
| 13 | 1 | |
| 14 | 60 | |
| 15 | 4 | |
| 16 | 17 | |
| 17 | 16 | |
| 18 | 0 | |
| 19 | Eliciting Truthful Information with the Peer Truth Serum | 1 |
| 20 | 67 |
About Goran Radanović
Goran Radanović is a scholar working on Computer Science Applications, Management Science and Operations Research and General Decision Sciences, having authored 26 papers that have together received 394 indexed citations. Recurring topics across this work include Auction Theory and Applications (12 papers), Mobile Crowdsensing and Crowdsourcing (10 papers) and Game Theory and Applications (4 papers). The work is most often cited by research in Computer Science Applications (163 citations), Safety Research (130 citations) and Management Science and Operations Research (154 citations). Goran Radanović has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Boi Faltings, David C. Parkes, Yang Liu, Radu Jurca, Karen Huang, Nripsuta Ani Saxena, Evan DeFilippis, Christos Dimitrakakis, Adish Singla and Boi Faltings. Their work appears in journals such as Artificial Intelligence, ACM Transactions on Intelligent Systems and Technology 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.