Ido Guy

4.1k total citations
93 papers, 2.3k citations indexed

About

Ido Guy is a scholar working on Information Systems, Artificial Intelligence and Statistical and Nonlinear Physics. According to data from OpenAlex, Ido Guy has authored 93 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Information Systems, 40 papers in Artificial Intelligence and 19 papers in Statistical and Nonlinear Physics. Recurrent topics in Ido Guy's work include Recommender Systems and Techniques (30 papers), Expert finding and Q&A systems (19 papers) and Complex Network Analysis Techniques (18 papers). Ido Guy is often cited by papers focused on Recommender Systems and Techniques (30 papers), Expert finding and Q&A systems (19 papers) and Complex Network Analysis Techniques (18 papers). Ido Guy collaborates with scholars based in Israel, United States and Ireland. Ido Guy's co-authors include Inbal Ronen, David Carmel, Erel Uziel, Naama Zwerdling, Philipp Geyer, Michal Jacovi, Michael Müller, Casey Dugan, Jilin Chen and Adam Perer and has published in prestigious journals such as Expert Systems with Applications, IEEE Transactions on Visualization and Computer Graphics and Proceedings of the VLDB Endowment.

In The Last Decade

Ido Guy

90 papers receiving 2.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ido Guy Israel 22 1.3k 808 525 515 323 93 2.3k
Debora Donato Italy 19 1.6k 1.2× 1.1k 1.4× 468 0.9× 421 0.8× 348 1.1× 38 2.5k
Gilad Mishne Netherlands 21 1.3k 1.0× 1.5k 1.8× 407 0.8× 411 0.8× 169 0.5× 43 2.6k
Wingyan Chung United States 22 890 0.7× 701 0.9× 202 0.4× 540 1.0× 217 0.7× 83 2.1k
John O’Donovan United States 24 1.3k 1.0× 924 1.1× 231 0.4× 497 1.0× 297 0.9× 62 2.3k
Hady W. Lauw Singapore 23 1.2k 0.9× 1.2k 1.5× 228 0.4× 391 0.8× 235 0.7× 105 2.0k
Xiaodan Song United States 13 804 0.6× 838 1.0× 1.3k 2.6× 769 1.5× 333 1.0× 27 2.9k
Liangjie Hong United States 22 1.4k 1.1× 1.7k 2.1× 833 1.6× 405 0.8× 227 0.7× 43 2.9k
Peter Mika Spain 21 1.0k 0.8× 1.2k 1.5× 343 0.7× 163 0.3× 390 1.2× 87 2.0k
Jasmine Novak United States 17 890 0.7× 931 1.2× 1.5k 2.9× 585 1.1× 634 2.0× 20 3.1k
Harith Alani United Kingdom 28 1.2k 0.9× 2.2k 2.8× 223 0.4× 563 1.1× 234 0.7× 132 3.2k

Countries citing papers authored by Ido Guy

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Ido Guy

This figure shows the co-authorship network connecting the top 25 collaborators of Ido Guy. A scholar is included among the top collaborators of Ido Guy based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ido Guy. Ido Guy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Guy, Ido, et al.. (2025). What is in a title? Characterizing product titles in e-commerce. Expert Systems with Applications. 287. 127702–127702.
2.
Guy, Ido, et al.. (2023). Shop by image: characterizing visual search in e-commerce. Information Retrieval. 26(1-2). 12 indexed citations
3.
Novgorodov, Slava, et al.. (2022). The Tip of the Buyer: Extracting Product Tips from Reviews. ACM Transactions on Internet Technology. 23(1). 1–30. 1 indexed citations
4.
Singer, Uriel, et al.. (2022). Leveraging World Events to Predict E-Commerce Consumer Demand under Anomaly. arXiv (Cornell University). 430–438. 4 indexed citations
5.
Novgorodov, Slava, et al.. (2021). Generating Tips from Product Reviews. 310–318. 6 indexed citations
6.
Guy, Ido, et al.. (2019). Learning to Generate Personalized Product Descriptions. 389–398. 9 indexed citations
7.
Pelleg, Dan, et al.. (2017). Fun Facts. 345–354. 13 indexed citations
8.
Raiber, Fiana, et al.. (2016). Selective Cluster-Based Document Retrieval. 10. 1473–1482. 8 indexed citations
9.
Guy, Ido. (2015). The Role of User Location in Personalized Search and Recommendation. 236–236. 4 indexed citations
10.
Guy, Ido, et al.. (2015). Games for Crowds. 1860–1871. 14 indexed citations
11.
Guy, Ido, et al.. (2015). Islands in the Stream. 665–674. 8 indexed citations
12.
Jacovi, Michal, et al.. (2014). The perception of others. 756–766. 21 indexed citations
13.
Guy, Ido. (2013). Mining and analyzing the enterprise knowledge graph. 497–498. 1 indexed citations
14.
Cunningham, Pádraig, Neil Hurley, Ido Guy, & Sarabjot Singh Anand. (2012). Sixth ACM Conference on Recommender Systems, RecSys '12, Dublin, Ireland, September 9-13, 2012. 4 indexed citations
15.
Cunningham, Pádraig, Neil Hurley, Ido Guy, & Sarabjot Singh Anand. (2012). Proceedings of the sixth ACM conference on Recommender systems. Conference on Recommender Systems. 5 indexed citations
16.
Perer, Adam, Ido Guy, Erel Uziel, Itamar Ronen, & Michal Jacovi. (2012). The Longitudinal Use of SaNDVis: Visual Social Network Analytics in the Enterprise. IEEE Transactions on Visualization and Computer Graphics. 19(7). 1095–1108. 5 indexed citations
17.
Guy, Ido, et al.. (2012). Swimming against the streamz. 1587–1591. 10 indexed citations
18.
Guy, Ido, Li Chen, & Michelle X. Zhou. (2010). Proceedings of 2010 Workshop on Social Recommender Systems In conjunction with ACM 2010 International Conference on Intelligent User Interfaces (IUI’2010). HKBU Institutional Repository (Hong Kong Baptist University). 4 indexed citations
19.
Guy, Ido, et al.. (2008). Harvesting with SONAR. 1017–1026. 69 indexed citations
20.
Guy, Ido, et al.. (2008). Public vs. private. 393–402. 20 indexed citations

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.

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