Rishabh Mehrotra

2.0k total citations · 1 hit paper
53 papers, 1.1k citations indexed

About

Rishabh Mehrotra is a scholar working on Information Systems, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Rishabh Mehrotra has authored 53 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Information Systems, 26 papers in Artificial Intelligence and 11 papers in Computer Vision and Pattern Recognition. Recurrent topics in Rishabh Mehrotra's work include Recommender Systems and Techniques (20 papers), Information Retrieval and Search Behavior (12 papers) and Topic Modeling (10 papers). Rishabh Mehrotra is often cited by papers focused on Recommender Systems and Techniques (20 papers), Information Retrieval and Search Behavior (12 papers) and Topic Modeling (10 papers). Rishabh Mehrotra collaborates with scholars based in United Kingdom, United States and Singapore. Rishabh Mehrotra's co-authors include Mounia Lalmas, Scott Sanner, Wray Buntine, Lexing Xie, Emine Yılmaz, Hugues Bouchard, James O. McInerney, Lucas Maystre, Fernando Díaz and Ashton Anderson and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, Journal of the Association for Information Systems and AI Magazine.

In The Last Decade

Rishabh Mehrotra

51 papers receiving 1.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Improving LDA topic models for microblogs via tweet pooling and automatic labeling

2013 321 citations Rishabh Mehrotra, Scott Sanner et al. ANU Open Research (Australian National University) profile →

Peers

Countries citing papers authored by Rishabh Mehrotra

Since Specialization

Citations

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

Fields of papers citing papers by Rishabh Mehrotra

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rishabh Mehrotra

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Exploiting Sequential Music Preferences via Optimisation-Based Sequencing 2023 ·(unknown), (unknown), Rishabh Mehrotra, (unknown), Mounia Lalmas	1
2	Quantifying and Leveraging User Fatigue for Interventions in Recommender Systems 2023 ·(unknown), (unknown), (unknown), Rishabh Mehrotra	5
3	Mostra: A Flexible Balancing Framework to Trade-off User, Artist and Platform Objectives for Music Sequencing 2022 ·Proceedings of the ACM Web Conference 2022 ·Emanuele Bugliarello, Rishabh Mehrotra, (unknown), Mounia Lalmas	5
4	The multisided complexity of fairness in recommender systems 2022 ·AI Magazine ·Nasim Sonboli, Robin Burke, Michael D. Ekstrand, Rishabh Mehrotra	13
5	Shifting Consumption towards Diverse Content on Music Streaming Platforms 2021 ·Research at the University of Copenhagen (University of Copenhagen) ·Christian Hansen, Rishabh Mehrotra, Casper Worm Hansen, (unknown), Lucas Maystre, Mounia Lalmas	22
6	Investigating the Impact of Audio States & Transitions for Track Sequencing in Music Streaming Sessions 2020 ·Aaron Ng, Rishabh Mehrotra	3
7	Query Understanding for Surfacing Under-served Music Content 2020 ·(unknown), Rishabh Mehrotra, Aasish Pappu, Judith Bütepage, (unknown), (unknown), Mounia Lalmas	4
8	Contextual and Sequential User Embeddings for Large-Scale Music Recommendation 2020 ·Research at the University of Copenhagen (University of Copenhagen) ·Casper Worm Hansen, Christian Hansen, Lucas Maystre, Rishabh Mehrotra, (unknown), (unknown), Mounia Lalmas	71
9	Jointly Leveraging Intent and Interaction Signals to Predict User Satisfaction with Slate Recommendations 2019 ·Rishabh Mehrotra, Mounia Lalmas, (unknown), (unknown), (unknown)	22
10	Predictive Power of Online and Offline Behavior Sequences: Evidence from a Micro-finance Context 2017 ·Journal of the Association for Information Systems ·Rishabh Mehrotra, (unknown), T.C. Tan, Tuan Q. Phan	5
11	TREC 2017 Tasks Track Overview. 2017 ·Text REtrieval Conference ·Evangelos Kanoulas, Emine Yılmaz, Rishabh Mehrotra, Ben Carterette, Nick Craswell, Peter Bailey	1
12	Characterizing and Predicting Supply-side Engagement on Video Sharing Platforms Using a Hawkes Process Model 2017 ·Rishabh Mehrotra, (unknown)	1
13	Overview of the TREC Tasks Track 2016. 2016 ·Text REtrieval Conference ·Manisha Verma, Emine Yılmaz, Rishabh Mehrotra, Evangelos Kanoulas, Ben Carterette, Nick Craswell, Peter Bailey	3
14	Overview of the TREC 2015 Tasks Track. 2015 ·Data Archiving and Networked Services (DANS) ·Emine Yılmaz, Manisha Verma, Rishabh Mehrotra, Evangelos Kanoulas, Ben Carterette, Nick Craswell	8
15	Representative & Informative Query Selection for Learning to Rank using Submodular Functions 2015 ·Rishabh Mehrotra, Emine Yılmaz	16
16	Task-Based User Modelling for Personalization via Probabilistic Matrix Factorization. 2014 ·Conference on Recommender Systems ·Rishabh Mehrotra, Emine Yılmaz, Manisha Verma	4
17	Improving LDA topic models for microblogs via tweet pooling and automatic labeling breakdown → 2013 ·ANU Open Research (Australian National University) ·Rishabh Mehrotra, Scott Sanner, Wray Buntine, Lexing Xie	321
18	Corporate News Classification and Valence Prediction: A Supervised Approach 2011 ·Meeting of the Association for Computational Linguistics ·(unknown), Rishabh Mehrotra	9
19	The Last Mile to the Internet 1998 ·The McKinsey Quarterly ·Jed Dempsey, (unknown), Rishabh Mehrotra, (unknown), (unknown)	4
20	Guest Editors' Introduction: Multimedia Information Systems 1993 ·IEEE Transactions on Knowledge and Data Engineering ·P. Bruce Berra, Forouzan Golshani, Rishabh Mehrotra, Olivia R. Liu Sheng	9

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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