John O’Donovan

72 papers receiving 2.6k citations

John O’Donovan's Hit Papers

Trust in recommender systems 2005 · 691 citations
6910+7+14Years since publication200400600

Peers

John O’Donovan
Comparison fields: 5 of 106
  • Information Systems 1.6k
  • Health Informatics 54
  • Artificial Intelligence 1.1k
  • Computer Science Applications 184
  • Computer Vision and Pattern Recognition 657
Replace Nava Tintarev with:
Nava Tintarev United Kingdom
Denis Parra Chile
Michael D. Ekstrand United States
Marco de Gemmis Italy
Pasquale Lops Italy
Kirsten Swearingen United States
Giuseppe Carenini Canada
Xavier Amatriain Spain
Leif Azzopardi United Kingdom
Ludovico Boratto Italy
John O’Donovan relative to Nava Tintarev United Kingdom Nava Tintarev's profile →
Citations per field
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Nava Tintarev · 1×
Citations per year

Countries citing papers authored by John O’Donovan

Since Specialization
Citations

This map shows the geographic impact of John O’Donovan'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 John O’Donovan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John O’Donovan more than expected).

Fields of papers citing papers by John O’Donovan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John O’Donovan. 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 John O’Donovan. The network helps show where John O’Donovan may publish in the future.

Co-authors

The 25 scholars most cited alongside John O’Donovan, 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 John O’Donovan Line = papers co-authored together John O’Donovan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Trust in recommender systems
Hit paper breakdown →
2005691
2 2012220
3 2008131
4 2019117
5 2012114
6 2012106
7 2018106
8 201096
9 201292
10 201985
11 201278
12 201875
13 201658
14 201755
15 201650
16 201642
17 201336
18
Extracting and visualizing trust relationships from online auction feedback comments
200732
19 202032
20 200632

About John O’Donovan

John O’Donovan is a scholar working on Information Systems, Artificial Intelligence, Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics and Sociology and Political Science, having authored 73 papers that have together received 2.7k indexed citations. Recurring topics across this work include Recommender Systems and Techniques (27 papers), Complex Network Analysis Techniques (16 papers), Misinformation and Its Impacts (10 papers), Opinion Dynamics and Social Influence (9 papers), Advanced Bandit Algorithms Research (8 papers), Data Visualization and Analytics (7 papers), Advanced Text Analysis Techniques (7 papers) and Image and Video Quality Assessment (6 papers). The work is most often cited by research in Information Systems (1.6k citations), Health Informatics (54 citations), Artificial Intelligence (1.1k citations), Computer Science Applications (184 citations) and Computer Vision and Pattern Recognition (657 citations). John O’Donovan has collaborated with scholars based in United States, Ireland and United Kingdom. Frequent co-authors include Barry Smyth, Tobias Höllerer, Svetlin Bostandjiev, James Schaffer, Denis Parra, Pigi Kouki, Lise Getoor, Jay Pujara, Bart P. Knijnenburg and Alfred Kobsa. Their work appears in journals such as ACM Transactions on Interactive Intelligent Systems, Psychiatry and Clinical Neurosciences, ACM Transactions on Intelligent Systems and Technology, International Journal of Human-Computer Studies and CNS Spectrums.

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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