Brian O’Connor

761 citations
52 papers · 497 · h-index 13

Impact in

Papers in

Brian O’Connor

40 papers receiving 425 citations

Peers

Brian O’Connor
Comparison fields: 5 of 72
  • Computer Vision and Pattern Recognition 269
  • Computer Science Applications 49
  • Signal Processing 80
  • Library and Information Sciences 10
  • Information Systems 108
Replace Manuel Burghardt with:
Manuel Burghardt Germany
Alice Thudt Canada
Mitchell Whitelaw Australia
Eleni Miltsakaki United States
Yannick Prié France
Alia Amin Netherlands
Aoife Cahill United States
Andy Coenen United States
Joshua Adams United States
Anshul Vikram Pandey United States
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Citations per field
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Citations per year

Countries citing papers authored by Brian O’Connor

Since Specialization
Citations

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

Fields of papers citing papers by Brian O’Connor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Brian O’Connor, 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 Brian O’Connor Line = papers co-authored together Brian O’Connor links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200275
2 199939
3 200939
4 199934
5
Selecting Key Frames of Moving Image Documents: A Digital Environment for Analysis and Navigation.
199132
6 199325
7 198524
8
Explorations in Indexing and Abstracting: Pointing, Virtue, and Power
199624
9 198821
10 201319
11 201418
12 200214
13 201513
14 201410
15 20048
16 19998
17 20148
18 19988
19 20097
20
Structures of Image Collections: From Chauvet-Pont-d'Arc to Flickr
20077

About Brian O’Connor

Brian O’Connor is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Sociology and Political Science, Signal Processing and Information Systems, having authored 52 papers that have together received 497 indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (9 papers), Video Analysis and Summarization (8 papers), Face and Expression Recognition (6 papers), Biometric Identification and Security (5 papers), Semantic Web and Ontologies (5 papers), Advanced Image and Video Retrieval Techniques (4 papers), Face recognition and analysis (4 papers) and Topic Modeling (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (269 citations), Computer Science Applications (49 citations), Signal Processing (80 citations), Library and Information Sciences (10 citations) and Information Systems (108 citations). Brian O’Connor has collaborated with scholars based in United States, Canada and Bangladesh. Frequent co-authors include Howard Greisdorf, June Abbas, Kaushik Roy, Joseph Shelton, Gerry Dozier, Mohamed S. Kamel, R. L. Anderson, Ian Dworkin, JungWon Yoon and David Blair. Their work appears in journals such as Journal of Documentation, Proceedings of the American Society for Information Science and Technology, Journal of Urban History, International Journal of Information Management and First Monday.

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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