Ido Guy

4.1k citations
93 papers · 2.3k indexed · h-index 22

Ido Guy

90 papers receiving 2.1k citations

Peers

Ido Guy
Comparison fields: 5 of 88
  • Information Systems 1.3k
  • Computer Science Applications 246
  • Communication 297
  • Statistical and Nonlinear Physics 525
  • Artificial Intelligence 808
Replace Joemon M. Jose with:
Joemon M. Jose United Kingdom
Xiaodan Song United States
Akshay Java United States
Ponnurangam Kumaraguru India
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Fábio Crestani Switzerland
Shyong K. Lam United States
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Ido Guy relative to Joemon M. Jose United Kingdom Joemon M. Jose's profile →
Citations per field
00.5×1.7×
Joemon M. Jose · 1×
Citations per year

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

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.

Border = papers with Ido Guy Line = papers co-authored together Ido Guy links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 202312
3 20221
4 202212
5 20216
6 20212
7 20187
8 201713
9 201514
10 20154
11 20158
12 201421
13
Proceedings of the sixth ACM conference on Recommender systems
20125
14
Sixth ACM Conference on Recommender Systems, RecSys '12, Dublin, Ireland, September 9-13, 2012
20124
15 20125
16 201210
17 20125
18 20122
19
Proceedings of 2010 Workshop on Social Recommender Systems In conjunction with ACM 2010 International Conference on Intelligent User Interfaces (IUI’2010)
20104
20 200869

About Ido Guy

Ido Guy is a scholar working on Communication, Information Systems and Computer Science Applications, 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), Topic Modeling (14 papers), Digital Marketing and Social Media (14 papers), Knowledge Management and Sharing (11 papers) and Advanced Text Analysis Techniques (10 papers). The work is most often cited by research in Information Systems (1.3k citations), Computer Science Applications (246 citations) and Communication (297 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, Philipp Geyer, Michal Jacovi, 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.

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