Ido Guy
Impact in
- Information Systems top 0.5%
- Recommender Systems and Techniques
- Expert finding and Q&A systems
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- Mobile Crowdsensing and Crowdsourcing
Papers in
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- Recommender Systems and Techniques 30
- Expert finding and Q&A systems 19
- Web Data Mining and Analysis 15
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- Topic Modeling 14
- Co-authors
- Inbal Ronen (22 shared papers)David Carmel (7 shared papers)Erel Uziel (10 shared papers)Naama Zwerdling (5 shared papers)Michal Jacovi (13 shared papers)Philipp Geyer (3 shared papers)Michael Müller (3 shared papers)Casey Dugan (2 shared papers)
- Journals
- ACM Transactions on Information Systems (2 papers)ACM Transactions on Intelligent Systems and Technology (2 papers)ACM Transactions on Internet Technology (2 papers)IEEE Transactions on Visualization and Computer Graphics (1 paper)Expert Systems with Applications (1 paper)
- Partner nations
- IsraelUnited StatesIreland
In The Last Decade
Ido Guy
90 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 88
- Information Systems 1.3k
- Computer Science Applications 246
- Communication 297
- Statistical and Nonlinear Physics 525
- Artificial Intelligence 808
Countries citing papers authored by Ido Guy
This map shows the geographic impact of Ido Guy'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 Ido Guy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ido Guy more than expected).
Fields of papers citing papers by Ido Guy
This network shows the impact of papers produced by Ido Guy. 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 Ido Guy. The network helps show where Ido Guy may publish in the future.
Co-authors
The 25 scholars most cited alongside Ido Guy, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 93 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 304 | |
| 2 | 2010 | 194 | |
| 3 | 2009 | 151 | |
| 4 | 2020 | 150 | |
| 5 | 2009 | 135 | |
| 6 | 2009 | 107 | |
| 7 | 2016 | 85 | |
| 8 | 2012 | 74 | |
| 9 | 2008 | 69 | |
| 10 | 2011 | 60 | |
| 11 | 2013 | 60 | |
| 12 | 2009 | 53 | |
| 13 | 2010 | 51 | |
| 14 | 2022 | 35 | |
| 15 | 2011 | 35 | |
| 16 | 2018 | 32 | |
| 17 | 2014 | 30 | |
| 18 | 2009 | 27 | |
| 19 | 2011 | 26 | |
| 20 | 2011 | 26 |
About Ido Guy
Ido Guy is a scholar working on Information Systems, Artificial Intelligence, Statistical and Nonlinear Physics, Sociology and Political Science and Communication, having authored 93 papers that have together received 2.3k indexed citations. Recurring topics across this work include Recommender Systems and Techniques (30 papers), Expert finding and Q&A systems (19 papers), Complex Network Analysis Techniques (18 papers), Web Data Mining and Analysis (15 papers), Digital Marketing and Social Media (14 papers), Topic Modeling (14 papers), Knowledge Management and Sharing (11 papers) and Mobile Crowdsensing and Crowdsourcing (10 papers). The work is most often cited by research in Information Systems (1.3k citations), Computer Science Applications (246 citations), Communication (297 citations), Statistical and Nonlinear Physics (525 citations) and Artificial Intelligence (808 citations). Ido Guy has collaborated with scholars based in Israel, United States and Ireland. Frequent co-authors include Inbal Ronen, David Carmel, Erel Uziel, Naama Zwerdling, Michal Jacovi, Philipp Geyer, Michael Müller, Casey Dugan, Jilin Chen and Adam Perer. Their work appears in journals such as ACM Transactions on Information Systems, ACM Transactions on Intelligent Systems and Technology, ACM Transactions on Internet Technology, IEEE Transactions on Visualization and Computer Graphics and Expert Systems with Applications.
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.