Ido Guy
Impact in
- Information Systems top 0.5%
- Recommender Systems and Techniques
- Expert finding and Q&A systems
-
- Complex Network Analysis Techniques
Papers in
-
- Recommender Systems and Techniques 35
- Expert finding and Q&A systems 23
- Web Data Mining and Analysis 16
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- Topic Modeling 14
- Co-authors
- Inbal Ronen (25 shared papers)David Carmel (7 shared papers)Erel Uziel (11 shared papers)Naama Zwerdling (6 shared papers)Michal Jacovi (14 shared papers)Michael Müller (3 shared papers)Casey Dugan (2 shared papers)Jilin Chen (1 shared paper)
- Journals
- ACM Transactions on Internet Technology (2 papers)ACM Transactions on Intelligent Systems and Technology (2 papers)ACM Transactions on Information Systems (2 papers)Data Mining and Knowledge Discovery (1 paper)Expert Systems with Applications (1 paper)
- Partner nations
- IsraelUnited StatesIreland
In The Last Decade
Ido Guy
101 papers receiving 2.7k citations
Ido Guy's Hit Papers
Peers
Comparison fields: 5 of 91
- Information Systems 1.7k
- Statistical and Nonlinear Physics 744
- Computer Science Applications 299
- Communication 354
- Artificial Intelligence 1.0k
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 106 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Make new friends, but keep the old Hit paper breakdown → | 2009 | 374 |
| 2 | 2010 | 236 | |
| 3 | 2009 | 190 | |
| 4 | Multistakeholder recommendation: Survey and research directions Hit paper breakdown → | 2020 | 189 |
| 5 | 2009 | 168 | |
| 6 | 2009 | 131 | |
| 7 | 2016 | 102 | |
| 8 | 2008 | 85 | |
| 9 | 2011 | 78 | |
| 10 | 2012 | 76 | |
| 11 | 2013 | 71 | |
| 12 | 2010 | 65 | |
| 13 | 2015 | 64 | |
| 14 | 2009 | 64 | |
| 15 | 2018 | 47 | |
| 16 | 2011 | 46 | |
| 17 | 2022 | 46 | |
| 18 | 2014 | 35 | |
| 19 | 2011 | 34 | |
| 20 | 2009 | 32 |
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 106 papers that have together received 2.9k indexed citations. Recurring topics across this work include Recommender Systems and Techniques (35 papers), Complex Network Analysis Techniques (24 papers), Expert finding and Q&A systems (23 papers), Web Data Mining and Analysis (16 papers), Digital Marketing and Social Media (16 papers), Topic Modeling (14 papers), Knowledge Management and Sharing (11 papers) and Mobile Crowdsensing and Crowdsourcing (11 papers). The work is most often cited by research in Information Systems (1.7k citations), Statistical and Nonlinear Physics (744 citations), Computer Science Applications (299 citations), Communication (354 citations) and Artificial Intelligence (1.0k 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, Michael Müller, Casey Dugan, Jilin Chen, Adam Perer and Shila Ofek-Koifman. Their work appears in journals such as ACM Transactions on Internet Technology, ACM Transactions on Intelligent Systems and Technology, ACM Transactions on Information Systems, Data Mining and Knowledge Discovery 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.