Ed H.
- Computer Science Applications top 0.05%
- Mobile Crowdsensing and Crowdsourcing 26
- Communication top 0.2%
- Wikis in Education and Collaboration 17
- Information Systems top 0.05%
- Recommender Systems and Techniques 48
- Information Retrieval and Search Behavior 16
- Human-Computer Interaction top 0.2%
- Artificial Intelligence top 0.2%
- Topic Modeling 22
- Advanced Text Analysis Techniques 15
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- Advanced Bandit Algorithms Research 24
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- Data Visualization and Analytics 16
- Co-authors
- Bongwon SuhAniket KitturLichan HongPeter PirolliJilin ChenXinyang YiZhe ZhaoJoseph A. Konstan
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
Ed H.
164 papers receiving 9.1k citations
Hit Papers
Peers
Comparison fields: 5 of 172
- Computer Science Applications 1.9k
- Communication 1.7k
- Information Systems 3.8k
- Human-Computer Interaction 836
- Artificial Intelligence 3.3k
Countries citing papers authored by Ed H.
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.
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
The 25 scholars most cited alongside Ed H., 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 | 2024 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 6 | |
| 6 | Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Thembreakdown → | 2023 | 121 |
| 7 | 2023 | 9 | |
| 8 | 2023 | 2 | |
| 9 | 2023 | 4 | |
| 10 | 2023 | 6 | |
| 11 | 2023 | 5 | |
| 12 | 2023 | 1 | |
| 13 | 2023 | 4 | |
| 14 | Batch Reinforcement Learning Through Continuation Method | 2021 | 3 |
| 15 | DCN-M: Improved Deep & Cross Network for Feature Cross Learning in Web-scale Learning to Rank Systems. | 2020 | 5 |
| 16 | SageDB: A Learned Database System | 2019 | 70 |
| 17 | Proceedings of the SIGCHI Conference on Human Factors in Computing Systemsbreakdown → | 2012 | 354 |
| 18 | Augmented Social Cognition. | 2008 | 11 |
| 19 | 2002 | 285 | |
| 20 | LumberJack: Intelligent Discovery and Analysis of Web User Traffic Composition | 2002 | 0 |
About Ed H.
Ed H. is a scholar working on Computer Science Applications, Human-Computer Interaction and Information Systems, having authored 174 papers that have together received 9.8k indexed citations. Recurring topics across this work include Recommender Systems and Techniques (48 papers), Mobile Crowdsensing and Crowdsourcing (26 papers), Advanced Bandit Algorithms Research (24 papers), Topic Modeling (22 papers), Wikis in Education and Collaboration (17 papers), Data Visualization and Analytics (16 papers), Information Retrieval and Search Behavior (16 papers) and Advanced Text Analysis Techniques (15 papers). The work is most often cited by research in Computer Science Applications (1.9k citations), Communication (1.7k citations) and Information Systems (3.8k citations). Ed H. has collaborated with scholars based in United States, United Kingdom and France. Frequent 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. Their work appears in journals such as Communications of the ACM, Computer, IEEE Internet Computing, IEEE Pervasive Computing and ACM Transactions on Interactive Intelligent 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.