Himan Abdollahpouri
- Information Systems top 1%
- Management Science and Operations Research top 2%
- Artificial Intelligence top 5%
- Sociology and Political Science
- Marketing top 10%
- Co-authors
- Robin BurkeBamshad MobasherDietmar JannachGediminas AdomavičiusLuiz PizzatoIdo GuyToshihiro KamishimaEdward C. Malthouse
- Topics
- Recommender Systems and Techniques (19 papers)Advanced Bandit Algorithms Research (14 papers)Caching and Content Delivery (4 papers)
- Journals
- ACM Transactions on Information SystemsUser Modeling and User-Adapted InteractionFrontiers in Big Data
- Partner nations
- United StatesNetherlandsNorway
In The Last Decade
Himan Abdollahpouri
21 papers receiving 650 citations
Peers
Comparison fields: 5 of 61
- Information Systems 528
- Management Science and Operations Research 295
- Artificial Intelligence 279
- Sociology and Political Science 101
- Marketing 97
Countries citing papers authored by Himan Abdollahpouri
This map shows the geographic impact of Himan Abdollahpouri'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 Himan Abdollahpouri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Himan Abdollahpouri more than expected).
Fields of papers citing papers by Himan Abdollahpouri
This network shows the impact of papers produced by Himan Abdollahpouri. 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 Himan Abdollahpouri. The network helps show where Himan Abdollahpouri may publish in the future.
Co-authorship network of co-authors of Himan Abdollahpouri
This figure shows the co-authorship network connecting the top 25 collaborators of Himan Abdollahpouri. A scholar is included among the top collaborators of Himan Abdollahpouri 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 Himan Abdollahpouri. Himan Abdollahpouri 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 | 8 | |
| 3 | 10 | |
| 4 | 2 | |
| 5 | 17 | |
| 6 | 29 | |
| 7 | 1 | |
| 8 | 15 | |
| 9 | 4 | |
| 10 | 19 | |
| 11 | A unified optimization toolbox for solving popularity bias, fairness, and diversity in recommender systems | 3 |
| 12 | 0 | |
| 13 | 150 | |
| 14 | Managing Popularity Bias in Recommender Systems with Personalized Re-Ranking. | 35 |
| 15 | 58 | |
| 16 | 8 | |
| 17 | 42 | |
| 18 | 225 | |
| 19 | Towards Multi-Stakeholder Utility Evaluation of Recommender Systems. | 29 |
| 20 | 1 |
About Himan Abdollahpouri
Himan Abdollahpouri is a scholar working on Management Science and Operations Research, Information Systems and Marketing, having authored 22 papers that have together received 675 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (19 papers), Advanced Bandit Algorithms Research (14 papers) and Caching and Content Delivery (4 papers). The work is most often cited by research in Management Science and Operations Research (295 citations), Information Systems (528 citations) and Marketing (97 citations). Himan Abdollahpouri has collaborated with scholars based in United States, Netherlands and Norway. Frequent co-authors include Robin Burke, Bamshad Mobasher, Dietmar Jannach, Gediminas Adomavičius, Luiz Pizzato, Ido Guy, Toshihiro Kamishima, Edward C. Malthouse, Masoud Mansoury and Mykola Pechenizkiy. Their work appears in journals such as ACM Transactions on Information Systems, User Modeling and User-Adapted Interaction and Frontiers in Big Data.
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.