Paul Over
- Computer Vision and Pattern Recognition top 0.5%
- Artificial Intelligence top 2%
- Signal Processing top 1%
- Information Systems top 5%
- Sociology and Political Science top 10%
- Co-authors
- Alan F. SmeatonWessel KraaijAiden DohertyDonna HarmanGeorge AwadHoa Trang DangEric S. LagergrenPhilip Kelly
- Topics
- Video Analysis and Summarization (21 papers)Music and Audio Processing (10 papers)Advanced Image and Video Retrieval Techniques (9 papers)
- Partner nations
- United StatesIrelandNetherlands
In The Last Decade
Paul Over
41 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 83
- Computer Vision and Pattern Recognition 1.5k
- Artificial Intelligence 572
- Signal Processing 460
- Information Systems 253
- Sociology and Political Science 151
Countries citing papers authored by Paul Over
This map shows the geographic impact of Paul Over'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 Paul Over with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul Over more than expected).
Fields of papers citing papers by Paul Over
This network shows the impact of papers produced by Paul Over. 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 Paul Over. The network helps show where Paul Over may publish in the future.
Co-authorship network of co-authors of Paul Over
This figure shows the co-authorship network connecting the top 25 collaborators of Paul Over. A scholar is included among the top collaborators of Paul Over 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 Paul Over. Paul Over is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 16 | |
| 3 | TRECVID 2013 -- An Overview of the Goals, Tasks, Data, Evaluation Mechanisms and Metrics | 44 |
| 4 | 3 | |
| 5 | Creating HAVIC: Heterogeneous Audio Visual Internet Collection | 30 |
| 6 | TRECVID 2008 -- Goals, Tasks, Data, Evaluation Mechanisms and Metrics | 15 |
| 7 | 13 | |
| 8 | 192 | |
| 9 | 8 | |
| 10 | 62 | |
| 11 | TRECVID 2005 - An Overview | 16 |
| 12 | Evaluation campaigns and TRECVidbreakdown → | 824 |
| 13 | TRECVID 2004 - an overview | 18 |
| 14 | 26 | |
| 15 | TRECVID-An Overview. | 7 |
| 16 | TREC-2001 Interactive Track Report | NIST | 1 |
| 17 | The TREC-2001 Video Track Report. | 16 |
| 18 | TREC-6 Interactive Report. | 13 |
| 19 | TREC-5 interactive track report | 17 |
| 20 | 0 |
About Paul Over
Paul Over is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Library and Information Sciences, having authored 43 papers that have together received 2.0k indexed citations. Recurring topics across this work include Video Analysis and Summarization (21 papers), Music and Audio Processing (10 papers) and Advanced Image and Video Retrieval Techniques (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.5k citations), Signal Processing (460 citations) and Artificial Intelligence (572 citations). Paul Over has collaborated with scholars based in United States, Ireland and Netherlands. Frequent co-authors include Alan F. Smeaton, Wessel Kraaij, Aiden Doherty, Donna Harman, George Awad, Hoa Trang Dang, Eric S. Lagergren, Philip Kelly, Nien‐Fan Zhang and David Banks. Their work appears in journals such as AIAA Journal, American Journal of Hypertension and Information Processing & Management.
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.