Ed H.

21.6k total citations · 6 hit papers
174 papers, 9.8k citations indexed

About

Ed H. is a scholar working on Information Systems, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ed H. has authored 174 papers receiving a total of 9.8k indexed citations (citations by other indexed papers that have themselves been cited), including 85 papers in Information Systems, 70 papers in Artificial Intelligence and 39 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ed H.'s work include Recommender Systems and Techniques (48 papers), Mobile Crowdsensing and Crowdsourcing (26 papers) and Advanced Bandit Algorithms Research (24 papers). Ed H. is often cited by papers focused on Recommender Systems and Techniques (48 papers), Mobile Crowdsensing and Crowdsourcing (26 papers) and Advanced Bandit Algorithms Research (24 papers). Ed H. collaborates with scholars based in United States, United Kingdom and France. Ed H.'s co-authors include Bongwon Suh, Aniket Kittur, Lichan Hong, Peter Pirolli, Jilin Chen, Xinyang Yi, Zhe Zhao, Joseph A. Konstan, James E. Pitkow and Bryan A. Pendleton and has published in prestigious journals such as Communications of the ACM, Journal of General Internal Medicine and Computer.

In The Last Decade

Ed H.

164 papers receiving 9.1k citations

Hit Papers

Crowdsourcing user studies with Mechanical Turk 2008 2026 2014 2020 2008 2010 2018 2012 2011 400 800 1.2k
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.

  1. Crowdsourcing user studies with Mechanical Turk
    2008 1.3k citations Aniket Kittur, Ed H. et al. profile →
  2. Want to be Retweeted? Large Scale Analytics on Factors Impacting Retweet in Twitter Network
    2010 822 citations Bongwon Suh, Lichan Hong et al. profile →
  3. Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts
    2018 591 citations Jiaqi Ma, Zhe Zhao et al. profile →
  4. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
    2012 354 citations Joseph A. Konstan, Ed H. et al. Human Factors in Computing Systems profile →
  5. Tweets from Justin Bieber's heart
    2011 345 citations Lichan Hong, Bongwon Suh et al. profile →
  6. Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them
    2023 121 citations Mirac Süzgün, Nathan Scales et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ed H. United States 49 3.8k 3.3k 1.9k 1.8k 1.8k 174 9.8k
Loren Terveen United States 47 5.2k 1.4× 2.8k 0.9× 1.5k 0.8× 2.1k 1.1× 1.6k 0.9× 174 10.5k
Peter Pirolli United States 46 3.2k 0.8× 2.5k 0.8× 951 0.5× 1.8k 1.0× 1.6k 0.9× 137 9.6k
Jaime Teevan United States 43 3.7k 1.0× 2.5k 0.8× 1.3k 0.7× 1.1k 0.6× 792 0.4× 152 7.8k
Mark S. Ackerman United States 50 3.1k 0.8× 2.0k 0.6× 2.3k 1.2× 2.1k 1.1× 559 0.3× 183 8.6k
Bernard J. Jansen United States 56 5.9k 1.6× 3.7k 1.1× 556 0.3× 3.7k 2.0× 880 0.5× 432 14.1k
Dan Cosley United States 38 1.8k 0.5× 1.4k 0.4× 963 0.5× 2.0k 1.1× 556 0.3× 108 6.5k
Éric Gilbert United States 50 1.6k 0.4× 3.9k 1.2× 403 0.2× 3.4k 1.9× 1.6k 0.9× 139 13.2k
Jay F. Nunamaker United States 63 3.9k 1.0× 2.9k 0.9× 1.1k 0.6× 3.2k 1.7× 567 0.3× 375 16.2k
Laura Dabbish United States 35 1.9k 0.5× 1.4k 0.4× 2.2k 1.2× 1.7k 0.9× 1.0k 0.6× 114 6.7k
Mor Naaman United States 42 1.7k 0.5× 2.2k 0.7× 446 0.2× 2.4k 1.3× 2.1k 1.2× 132 8.0k

Countries citing papers authored by Ed H.

Since Specialization
Citations

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

Fields of papers citing papers by Ed H.

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ed H.

This figure shows the co-authorship network connecting the top 25 collaborators of Ed H.. A scholar is included among the top collaborators of Ed H. 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 Ed H.. Ed H. 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.
Wang, Jianling, He Ma, Yueqi Wang, et al.. (2024). LLMs for User Interest Exploration in Large-scale Recommendation Systems. 872–877. 1 indexed citations
2.
Zhang, Zemin, et al.. (2024). Leveraging LLM Reasoning Enhances Personalized Recommender Systems. 13176–13188. 1 indexed citations
3.
Nath, Aniruddh, Shawn Andrews, Maciej Kula, et al.. (2024). Bridging the Gap: Unpacking the Hidden Challenges in Knowledge Distillation for Online Ranking Systems. 758–761.
4.
Li, Yuening, Benjamin Lipshitz, Lukasz Heldt, et al.. (2024). Long-Term Value of Exploration: Measurements, Findings and Algorithms. 636–644. 6 indexed citations
5.
Coleman, Benjamin, Wang-Cheng Kang, Jianmo Ni, et al.. (2024). Improving Data Efficiency for Recommenders and LLMs. 790–792.
6.
Süzgün, Mirac, Nathan Scales, Nathanael Schärli, et al.. (2023). Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them. 13003–13051. 121 indexed citations breakdown →
7.
Wang, Xuezhi, Yao Qin, Nithum Thain, et al.. (2023). Improving Classifier Robustness through Active Generative Counterfactual Data Augmentation. 127–139.
8.
Cheng, Derek Zhiyuan, Wang-Cheng Kang, Benjamin Coleman, et al.. (2023). Efficient Data Representation Learning in Google-scale Systems. 267–271. 1 indexed citations
9.
10.
Yi, Xinyang, H. Chandrasekaran, Lukasz Heldt, et al.. (2023). Online Matching: A Real-time Bandit System for Large-scale Recommendations. 403–414. 6 indexed citations
11.
Tang, Jiaxi, Yoel Drori, Maheswaran Sathiamoorthy, et al.. (2023). Improving Training Stability for Multitask Ranking Models in Recommender Systems. 4882–4893. 4 indexed citations
12.
Cheng, Derek Zhiyuan, Tiansheng Yao, Xinyang Yi, et al.. (2023). Empowering Long-tail Item Recommendation through Cross Decoupling Network (CDN). 5608–5617. 9 indexed citations
13.
Guo, Yijie, et al.. (2021). Batch Reinforcement Learning Through Continuation Method. International Conference on Learning Representations. 3 indexed citations
14.
Wang, Ruoxi, Rakesh Shivanna, Derek Zhiyuan Cheng, et al.. (2020). DCN-M: Improved Deep & Cross Network for Feature Cross Learning in Web-scale Learning to Rank Systems.. arXiv (Cornell University). 5 indexed citations
15.
Kraska, Tim, Mohammad Alizadeh, Alex Beutel, et al.. (2019). SageDB: A Learned Database System. DSpace@MIT (Massachusetts Institute of Technology). 70 indexed citations
16.
Ma, Jiaqi, Zhe Zhao, Jilin Chen, et al.. (2019). SNR: Sub-Network Routing for Flexible Parameter Sharing in Multi-Task Learning. Proceedings of the AAAI Conference on Artificial Intelligence. 33(1). 216–223. 73 indexed citations
17.
Konstan, Joseph A., Ed H., & Kristina Höök. (2012). Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. Human Factors in Computing Systems. 354 indexed citations breakdown →
18.
Begole, Bo, et al.. (2008). Mobile Recommendations for Leisure Activities. Disease Markers. 2015. 758314–758314. 1 indexed citations
19.
H., Ed, Peter Pirolli, Bongwon Suh, et al.. (2008). Augmented Social Cognition.. National Conference on Artificial Intelligence. 11–17. 11 indexed citations
20.
H., Ed, et al.. (2002). LumberJack: Intelligent Discovery and Analysis of Web User Traffic Composition.

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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