Brian O’Connor
- Computer Vision and Pattern Recognition top 5%
- Information Systems top 10%
- Signal Processing top 10%
- Artificial Intelligence
- Molecular Biology
- Co-authors
- Howard GreisdorfJune AbbasKaushik RoyJoseph SheltonGerry DozierMohamed S. KamelIan DworkinR. L. Anderson
- Topics
- Image Retrieval and Classification Techniques (9 papers)Video Analysis and Summarization (8 papers)Face and Expression Recognition (6 papers)
- Partner nations
- United StatesCanadaRussia
In The Last Decade
Brian O’Connor
39 papers receiving 381 citations
Peers
Comparison fields: 5 of 66
- Computer Vision and Pattern Recognition 247
- Information Systems 95
- Signal Processing 73
- Artificial Intelligence 64
- Molecular Biology 47
Countries citing papers authored by Brian O’Connor
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
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-authorship network of co-authors of Brian O’Connor
This figure shows the co-authorship network connecting the top 25 collaborators of Brian O’Connor. A scholar is included among the top collaborators of Brian O’Connor 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 Brian O’Connor. Brian O’Connor is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 12 | |
| 3 | 6 | |
| 4 | 5 | |
| 5 | Outside the Frame: Modeling Discontinuities in Video Stimulus Streams | 1 |
| 6 | 37 | |
| 7 | Doing Things with Information: Beyond Indexing and Abstracting | 2 |
| 8 | 4 | |
| 9 | 1 | |
| 10 | 7 | |
| 11 | Hunting and Gathering on the Information Savanna | 3 |
| 12 | 6 | |
| 13 | Hunting and Gathering on the Information Savanna: Conversations on Modeling Human Search Abilities | 2 |
| 14 | 14 | |
| 15 | 38 | |
| 16 | 5 | |
| 17 | The national voluntary health organization-its place in American life. | 0 |
| 18 | Explorations in Indexing and Abstracting: Pointing, Virtue, and Power | 23 |
| 19 | 19 | |
| 20 | 1 |
About Brian O’Connor
Brian O’Connor is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Computer Science Applications, having authored 47 papers that have together received 442 indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (9 papers), Video Analysis and Summarization (8 papers) and Face and Expression Recognition (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (247 citations), Computer Science Applications (44 citations) and Signal Processing (73 citations). Brian O’Connor has collaborated with scholars based in United States, Canada and Russia. Frequent co-authors include Howard Greisdorf, June Abbas, Kaushik Roy, Joseph Shelton, Gerry Dozier, Mohamed S. Kamel, Ian Dworkin, R. L. Anderson, JungWon Yoon and Albert Esterline. Their work appears in journals such as International Journal of Information Management, Journal of Documentation 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.