Noam Koenigstein

2.4k total citations
68 papers, 1.1k citations indexed

About

Noam Koenigstein is a scholar working on Information Systems, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Noam Koenigstein has authored 68 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Information Systems, 30 papers in Artificial Intelligence and 21 papers in Computer Vision and Pattern Recognition. Recurrent topics in Noam Koenigstein's work include Recommender Systems and Techniques (30 papers), Topic Modeling (13 papers) and Music and Audio Processing (13 papers). Noam Koenigstein is often cited by papers focused on Recommender Systems and Techniques (30 papers), Topic Modeling (13 papers) and Music and Audio Processing (13 papers). Noam Koenigstein collaborates with scholars based in Israel, United Kingdom and United States. Noam Koenigstein's co-authors include Yehuda Koren, Gideon Dror, Ulrich Paquet, Oren Barkan, Markus Weimer, Yuval Shavitt, Avi Caciularu, Parikshit Ram, Mike Gartrell and Yoram Bachrach and has published in prestigious journals such as Proceedings of the IEEE, IEEE Access and Postharvest Biology and Technology.

In The Last Decade

Noam Koenigstein

62 papers receiving 1.1k citations

Peers

Noam Koenigstein
Mi Zhang China
Abhinandan Das United States
Claudio Lucchese Italy
Roberto Turrin Italy
Josh Attenberg United States
Sang‐goo Lee South Korea
Parag Singla India
Kjetil Nørvåg Norway
Georges Dupret United States
Leyu Lin China
Mi Zhang China
Noam Koenigstein
Citations per year, relative to Noam Koenigstein Noam Koenigstein (= 1×) peers Mi Zhang

Countries citing papers authored by Noam Koenigstein

Since Specialization
Citations

This map shows the geographic impact of Noam Koenigstein'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 Noam Koenigstein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Noam Koenigstein more than expected).

Fields of papers citing papers by Noam Koenigstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Noam Koenigstein. 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 Noam Koenigstein. The network helps show where Noam Koenigstein may publish in the future.

Co-authorship network of co-authors of Noam Koenigstein

This figure shows the co-authorship network connecting the top 25 collaborators of Noam Koenigstein. A scholar is included among the top collaborators of Noam Koenigstein 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 Noam Koenigstein. Noam Koenigstein is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Barkan, Oren, et al.. (2026). Rethinking Saliency Maps: A Cognitive Human Aligned Taxonomy and Evaluation Framework for Explanations. Proceedings of the AAAI Conference on Artificial Intelligence. 40(5). 3750–3758.
2.
3.
Barkan, Oren, et al.. (2025). LXR: Learning to eXplain Recommendations. 4(2). 1–39.
4.
Kochanek, Bettina, et al.. (2024). Deviations from optimal storage temperature and its impact on postharvest quality of table grape cv. Scarlotta Seedless. Postharvest Biology and Technology. 215. 113013–113013. 10 indexed citations
5.
Barkan, Oren, et al.. (2024). Improving LLM Attributions with Randomized Path-Integration. 9430–9446. 1 indexed citations
6.
Malkiel, Itzik, et al.. (2024). InterrogateLLM: Zero-Resource Hallucination Detection in LLM-Generated Answers. 9333–9347. 2 indexed citations
7.
Porat, Ron, et al.. (2023). Temperature interruptions harm the quality of stored 'Rustenburg' navel oranges and development of dynamic shelf-life prediction models. Postharvest Biology and Technology. 204. 112458–112458. 5 indexed citations
8.
Barkan, Oren, et al.. (2023). Stochastic Integrated Explanations for Vision Models. 1341. 938–943. 1 indexed citations
9.
Barkan, Oren, et al.. (2023). Learning to Explain: A Model-Agnostic Framework for Explaining Black Box Models. 944–949. 5 indexed citations
10.
Porat, Ron, et al.. (2022). Evaluation of the Storage Performance of ‘Valencia’ Oranges and Generation of Shelf-Life Prediction Models. Horticulturae. 8(7). 570–570. 9 indexed citations
11.
Malkiel, Itzik, et al.. (2022). Metricbert: Text Representation Learning Via Self-Supervised Triplet Training. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 1–5. 4 indexed citations
12.
Malkiel, Itzik, et al.. (2020). Optimizing BERT for Unlabeled Text-Based Items Similarity.. Empirical Methods in Natural Language Processing. 1704–1714. 1 indexed citations
13.
Koenigstein, Noam. (2017). Rethinking Collaborative Filtering. 336–337. 3 indexed citations
14.
Barkan, Oren, et al.. (2016). Modelling Session Activity with Neural Embedding.. Conference on Recommender Systems. 3 indexed citations
15.
Koenigstein, Noam, et al.. (2014). A Hybrid Explanations Framework for Collaborative Filtering Recommender Systems.. Conference on Recommender Systems. 1 indexed citations
16.
Chaney, Allison J. B., Mike Gartrell, Jake M. Hofman, et al.. (2014). A large-scale exploration of group viewing patterns. 31–38. 17 indexed citations
17.
Ronen, Royi, et al.. (2013). Sage. 475–476. 7 indexed citations
18.
Dror, Gideon, Noam Koenigstein, Yehuda Koren, & Markus Weimer. (2011). The Yahoo! Music Dataset and KDD-Cup'11. Knowledge Discovery and Data Mining. 3–18. 152 indexed citations
19.
Koenigstein, Noam, Yuval Shavitt, & Noa Zilberman. (2009). Predicting Billboard Success Using Data-Mining in P2P Networks. 465–470. 13 indexed citations
20.
Koenigstein, Noam, et al.. (2008). Spotting out emerging artists using geo-aware analysis of P2P query strings. 937–945. 11 indexed citations

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.

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2026