Iman Kamehkhosh
- Information Systems top 5%
- Recommender Systems and Techniques 7
- Signal Processing top 10%
- Music and Audio Processing 7
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- Advanced Bandit Algorithms Research 1
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- Music Technology and Sound Studies 6
- Image Retrieval and Classification Techniques 1
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- Consumer Market Behavior and Pricing 1
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- Neuroscience and Music Perception 1
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- Digital Marketing and Social Media 1
- Journals
- User Modeling and User-Adapted Interaction (2 papers)Conference on Recommender Systems (1 paper)
In The Last Decade
Iman Kamehkhosh
9 papers receiving 286 citations
Peers
Comparison fields: 5 of 46
- Information Systems 210
- Signal Processing 97
- Management Science and Operations Research 94
- Computer Vision and Pattern Recognition 93
- Marketing 41
Countries citing papers authored by Iman Kamehkhosh
This map shows the geographic impact of Iman Kamehkhosh'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 Iman Kamehkhosh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Iman Kamehkhosh more than expected).
Fields of papers citing papers by Iman Kamehkhosh
This network shows the impact of papers produced by Iman Kamehkhosh. 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 Iman Kamehkhosh. The network helps show where Iman Kamehkhosh may publish in the future.
Co-authorship network
The 5 scholars most cited alongside Iman Kamehkhosh, 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 | 2019 | 34 | |
| 2 | 2018 | 18 | |
| 3 | A Comparison of Frequent Pattern Techniques and a Deep Learning Method for Session-Based Recommendation. | 2017 | 13 |
| 4 | 2017 | 20 | |
| 5 | 2017 | 23 | |
| 6 | Personalized Next-Track Music Recommendation with Multi-dimensional Long-Term Preference Signals. | 2016 | 5 |
| 7 | 2015 | 34 | |
| 8 | 2015 | 139 | |
| 9 | Analyzing the Characteristics of Shared Playlists for Music Recommendation | 2014 | 11 |
About Iman Kamehkhosh
Iman Kamehkhosh is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Information Systems, having authored 9 papers that have together received 297 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (7 papers), Music and Audio Processing (7 papers), Music Technology and Sound Studies (6 papers), Image Retrieval and Classification Techniques (1 paper), Neuroscience and Music Perception (1 paper), Digital Marketing and Social Media (1 paper), Advanced Bandit Algorithms Research (1 paper) and Consumer Market Behavior and Pricing (1 paper). The work is most often cited by research in Information Systems (210 citations), Signal Processing (97 citations) and Management Science and Operations Research (94 citations). Iman Kamehkhosh has collaborated with scholars based in Germany, Austria and France. Frequent co-authors include Dietmar Jannach, Lukas Lerche, Michael Jugovac, Geoffray Bonnin and Malte Ludewig. Their work appears in journals such as User Modeling and User-Adapted Interaction and Conference on Recommender 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.