Daniel Kluver
- Human-Computer Interaction top 5%
- Digital Communication and Language 2
- Information Systems top 5%
- Recommender Systems and Techniques 7
- Expert finding and Q&A systems 2
- Computer Science Applications top 10%
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- Advanced Bandit Algorithms Research 5
- Communication top 10%
- Knowledge Management and Sharing 1
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- Consumer Market Behavior and Pricing 4
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- Sentiment Analysis and Opinion Mining 2
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- FinTech, Crowdfunding, Digital Finance 2
- Co-authors
- Michael D. EkstrandJoseph A. KonstanLoren TerveenJacob Thebault-SpiekerBrent HechtF. Maxwell HarperTien Thanh NguyenHoda Mehrpouyan
- Journals
- Proceedings of the ACM on Human-Computer Interaction (3 papers)User Modeling and User-Adapted Interaction (1 paper)TU/e Research Portal (1 paper)
- Partner nations
- United StatesUnited KingdomNetherlands
In The Last Decade
Daniel Kluver
14 papers receiving 415 citations
Peers
Comparison fields: 5 of 53
- Human-Computer Interaction 103
- Information Systems 197
- Computer Science Applications 43
- Management Science and Operations Research 87
- Communication 39
Countries citing papers authored by Daniel Kluver
This map shows the geographic impact of Daniel Kluver'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 Daniel Kluver with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Kluver more than expected).
Fields of papers citing papers by Daniel Kluver
This network shows the impact of papers produced by Daniel Kluver. 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 Daniel Kluver. The network helps show where Daniel Kluver may publish in the future.
Co-authorship network
The 19 scholars most cited alongside Daniel Kluver, 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 | 2023 | 2 | |
| 3 | 2022 | 3 | |
| 4 | 2021 | 24 | |
| 5 | 2021 | 17 | |
| 6 | 2018 | 15 | |
| 7 | 2018 | 61 | |
| 8 | 2017 | 17 | |
| 9 | 2017 | 100 | |
| 10 | 2015 | 63 | |
| 11 | 2015 | 37 | |
| 12 | 2014 | 36 | |
| 13 | 2013 | 32 | |
| 14 | 2012 | 23 |
About Daniel Kluver
Daniel Kluver is a scholar working on Marketing, Management Science and Operations Research, Human-Computer Interaction, Information Systems and Management Information Systems, having authored 14 papers that have together received 431 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (7 papers), Advanced Bandit Algorithms Research (5 papers), Consumer Market Behavior and Pricing (4 papers), Expert finding and Q&A systems (2 papers), Sentiment Analysis and Opinion Mining (2 papers), Digital Communication and Language (2 papers), FinTech, Crowdfunding, Digital Finance (2 papers) and Knowledge Management and Sharing (1 paper). The work is most often cited by research in Human-Computer Interaction (103 citations), Information Systems (197 citations), Computer Science Applications (43 citations), Management Science and Operations Research (87 citations) and Communication (39 citations). Daniel Kluver has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Michael D. Ekstrand, Joseph A. Konstan, Loren Terveen, Jacob Thebault-Spieker, Brent Hecht, F. Maxwell Harper, Tien Thanh Nguyen, Hoda Mehrpouyan, John Riedl and Aaron Halfaker. Their work appears in journals such as Proceedings of the ACM on Human-Computer Interaction, User Modeling and User-Adapted Interaction, TU/e Research Portal, Proceedings of the International AAAI Conference on Web and Social Media and SSRN Electronic Journal.
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.