Eytan Adar
Impact in
- Statistical and Nonlinear Physics top 0.1%
- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
- Artificial Intelligence top 0.2%
- Advanced Graph Neural Networks
Papers in
-
- Innovative Human-Technology Interaction 10
-
- Complex Network Analysis Techniques 25
- Opinion Dynamics and Social Influence 12
- Co-authors
- Lada A. AdamicBernardo A. HubermanJaime TeevanJessica HullmanSusan DumaisMira DontchevaRosie JonesPriti Shah
- Journals
- IEEE Transactions on Visualization and Computer Graphics (8 papers)First Monday (3 papers)PLoS ONE (3 papers)Social Networks (2 papers)Information Systems Frontiers (1 paper)
- Partner nations
- United StatesUnited KingdomSouth Korea
In The Last Decade
Eytan Adar
105 papers receiving 7.1k citations
Hit Papers
Peers
Comparison fields: 5 of 149
- Statistical and Nonlinear Physics 2.4k
- Artificial Intelligence 2.8k
- Information Systems 1.9k
- Human-Computer Interaction 441
- Computer Science Applications 421
Countries citing papers authored by Eytan Adar
This map shows the geographic impact of Eytan Adar'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 Eytan Adar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eytan Adar more than expected).
Fields of papers citing papers by Eytan Adar
This network shows the impact of papers produced by Eytan Adar. 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 Eytan Adar. The network helps show where Eytan Adar may publish in the future.
Co-authors
The 25 scholars most cited alongside Eytan Adar, 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 | 2 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 13 | |
| 4 | 2020 | 1 | |
| 5 | 2019 | 21 | |
| 6 | 2018 | 1 | |
| 7 | 2018 | 5 | |
| 8 | 2018 | 18 | |
| 9 | 2017 | 3 | |
| 10 | 2016 | 27 | |
| 11 | 2015 | 114 | |
| 12 | Proceedings of the fifth ACM international conference on Web search and data mining | 2012 | 6 |
| 13 | Personalized Online Education — A Crowdsourcing Challenge | 2012 | 43 |
| 14 | 2011 | 96 | |
| 15 | Proceedings of the Second International Conference on Weblogs and Social Media, ICWSM 2008, Seattle, Washington, USA, March 30 - April 2, 2008 | 2008 | 1 |
| 16 | Intelligence in wikipedia | 2008 | 42 |
| 17 | 2007 | 78 | |
| 18 | 2004 | 61 | |
| 19 | Implicit Structure and the Dynamics of Blogspace | 2004 | 162 |
| 20 | On-the-fly Hyperlink Creation for Page Images | 1995 | 5 |
About Eytan Adar
Eytan Adar is a scholar working on Human-Computer Interaction, Statistical and Nonlinear Physics, Computer Science Applications, Computer Vision and Pattern Recognition and Communication, having authored 106 papers that have together received 7.6k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (25 papers), Data Visualization and Analytics (23 papers), Video Analysis and Summarization (12 papers), Web Data Mining and Analysis (12 papers), Opinion Dynamics and Social Influence (12 papers), Innovative Human-Technology Interaction (10 papers), Topic Modeling (8 papers) and Mobile Crowdsensing and Crowdsourcing (8 papers). The work is most often cited by research in Statistical and Nonlinear Physics (2.4k citations), Artificial Intelligence (2.8k citations), Information Systems (1.9k citations), Human-Computer Interaction (441 citations) and Computer Science Applications (421 citations). Eytan Adar has collaborated with scholars based in United States, United Kingdom and South Korea. Frequent co-authors include Lada A. Adamic, Bernardo A. Huberman, Jaime Teevan, Jessica Hullman, Bernardo A. Huberman, Susan Dumais, Mira Dontcheva, Rosie Jones, Priti Shah and John Joon Young Chung. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, First Monday, PLoS ONE, Social Networks and Information Systems Frontiers.
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.