John O’Donovan

3.4k citations
62 papers · 2.3k indexed · 1 hit paper · h-index 24

John O’Donovan

61 papers receiving 2.1k citations

Hit Papers

Trust in recommender systems5632005202620122019100200300400500

Peers

John O’Donovan
Comparison fields: 5 of 104
  • Information Systems 1.3k
  • Health Informatics 46
  • Computer Science Applications 157
  • Artificial Intelligence 924
  • Computer Vision and Pattern Recognition 560
Replace Nava Tintarev with:
Nava Tintarev United Kingdom
Denis Parra Chile
Michael D. Ekstrand United States
Kirsten Swearingen United States
Paul N. Bennett United States
Marco de Gemmis Italy
Giuseppe Carenini Canada
Pasquale Lops Italy
Leif Azzopardi United Kingdom
Alessandro Bozzon Netherlands
John O’Donovan relative to Nava Tintarev United Kingdom Nava Tintarev's profile →
Citations per field
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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-authorship network

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
#Work
1 201914
2 201978
3 201751
4
Explaining item ratings in cosmetic product reviews
20162
5 20166
6 201643
7
Hypothetical Recommendation: A Study of Interactive Profile Manipulation Behavior for Recommender Systems
201516
8
Inspection Mechanisms for Community-based Content Discovery in Microblogs.
20156
9
Finding true and credible information on Twitter
201412
10 20144
11 20144
12 2008120
13
Extracting and visualizing trust relationships from online auction feedback comments
200728
14 20076
15
Personalizing Trust in Online Auctions
20064
16 20061
17
Eliciting Trust Values from Recommendation Errors.
20059
18
Trust no one: evaluating trust-based filtering for recommenders
200515
19 19737
20 19703

About John O’Donovan

John O’Donovan is a scholar working on General Decision Sciences, Computer Science Applications and Information Systems, having authored 62 papers that have together received 2.3k indexed citations. Recurring topics across this work include Recommender Systems and Techniques (22 papers), Complex Network Analysis Techniques (13 papers), Misinformation and Its Impacts (10 papers), Opinion Dynamics and Social Influence (8 papers), Data Visualization and Analytics (6 papers), Image and Video Quality Assessment (6 papers), Advanced Bandit Algorithms Research (6 papers) and Decision-Making and Behavioral Economics (5 papers). The work is most often cited by research in Information Systems (1.3k citations), Health Informatics (46 citations) and Computer Science Applications (157 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, International Journal of Human-Computer Studies, IEEE Transactions on Visualization and Computer Graphics, ACM Transactions on Intelligent Systems and Technology 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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