Nava Tintarev
- Information Systems top 1%
- Artificial Intelligence top 2%
- Computer Vision and Pattern Recognition top 5%
- Management Science and Operations Research top 5%
- Sociology and Political Science top 10%
- Co-authors
- Judith MasthoffJosep M. PujolXavier AmatriainNuria OliverKatrien VerbertYucheng JinTim DrawsAlexander Felfernig
- Topics
- Recommender Systems and Techniques (17 papers)Multi-Agent Systems and Negotiation (5 papers)Consumer Market Behavior and Pricing (5 papers)
- Partner nations
- United KingdomNetherlandsUnited States
In The Last Decade
Nava Tintarev
48 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 87
- Information Systems 697
- Artificial Intelligence 688
- Computer Vision and Pattern Recognition 242
- Management Science and Operations Research 172
- Sociology and Political Science 167
Countries citing papers authored by Nava Tintarev
This map shows the geographic impact of Nava Tintarev'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 Nava Tintarev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nava Tintarev more than expected).
Fields of papers citing papers by Nava Tintarev
This network shows the impact of papers produced by Nava Tintarev. 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 Nava Tintarev. The network helps show where Nava Tintarev may publish in the future.
Co-authorship network of co-authors of Nava Tintarev
This figure shows the co-authorship network connecting the top 25 collaborators of Nava Tintarev. A scholar is included among the top collaborators of Nava Tintarev 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 Nava Tintarev. Nava Tintarev is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 34 | |
| 2 | 12 | |
| 3 | 8 | |
| 4 | 5 | |
| 5 | 12 | |
| 6 | 22 | |
| 7 | 36 | |
| 8 | A Diversity Adjusting Strategy with Personality for Music Recommendation | 14 |
| 9 | TourExplain : A Crowdsourcing Pipeline for Generating Explanations for Groups of Tourists | 4 |
| 10 | 2 | |
| 11 | 9 | |
| 12 | Benefits and risks of emphasis adaptation in study workflows | 1 |
| 13 | Inspection Mechanisms for Community-based Content Discovery in Microblogs. | 6 |
| 14 | 4 | |
| 15 | 5 | |
| 16 | MinkApp: Generating Spatio-temporal Summaries for Nature Conservation Volunteers | 4 |
| 17 | 220 | |
| 18 | Using NLG and Sensors to Support Personal Narrative for Children with Complex Communication Needs | 20 |
| 19 | Evaluating recommender explanations: Problems experienced and lessons learned for the evaluation of adaptive systems | 5 |
| 20 | 72 |
About Nava Tintarev
Nava Tintarev is a scholar working on General Decision Sciences, Information Systems and Human Factors and Ergonomics, having authored 49 papers that have together received 1.3k indexed citations. Recurring topics across this work include Recommender Systems and Techniques (17 papers), Multi-Agent Systems and Negotiation (5 papers) and Consumer Market Behavior and Pricing (5 papers). The work is most often cited by research in Information Systems (697 citations), Health Informatics (39 citations) and Artificial Intelligence (688 citations). Nava Tintarev has collaborated with scholars based in United Kingdom, Netherlands and United States. Frequent co-authors include Judith Masthoff, Josep M. Pujol, Xavier Amatriain, Nuria Oliver, Katrien Verbert, Yucheng Jin, Tim Draws, Alexander Felfernig, Ehud Reiter and Barry Smyth. Their work appears in journals such as Communications of the ACM, IEEE Transactions on Software Engineering and Frontiers in Psychology.
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.