Paul Over

3.4k citations
44 papers · 2.0k · 1 hit paper · h-index 18

Impact in

Papers in

Paul Over

42 papers receiving 1.8k citations

Paul Over's Hit Papers

Evaluation campaigns and TRECVid 2006 · 825 citations
8250+6+13Years since publication250500750

Peers

Paul Over
Comparison fields: 5 of 79
  • Computer Vision and Pattern Recognition 1.5k
  • Signal Processing 460
  • Artificial Intelligence 572
  • Information Systems 252
  • Computer Science Applications 28
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Citations per field
00.5×3.1×
Michael Witbrock · 1×
Citations per year

Countries citing papers authored by Paul Over

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Evaluation campaigns and TRECVid
Hit paper breakdown →
2006825
2 2009193
3 2007119
4 200787
5 199970
6 199866
7 200464
8 200862
9 200148
10
TRECVID 2013 -- An Overview of the Goals, Tasks, Data, Evaluation Mechanisms and Metrics
201444
11 201230
12
TREC video retrieval evaluation TRECVID
200827
13 200426
14 201424
15
The TREC video retrieval evaluation (TRECVID): a case study and status report
200422
16 200121
17
Intrinsic Evaluation of Generic News Text Summarization Systems
200319
18
TRECVID 2004 - an overview
200418
19
TREC-5 interactive track report
199617
20
The TREC-2001 Video Track Report.
200216

About Paul Over

Paul Over is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Sociology and Political Science, Artificial Intelligence and Information Systems, having authored 44 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), Advanced Image and Video Retrieval Techniques (9 papers), Multimedia Communication and Technology (8 papers), Topic Modeling (5 papers), Natural Language Processing Techniques (5 papers), Advanced Text Analysis Techniques (4 papers) and Information Retrieval and Search Behavior (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.5k citations), Signal Processing (460 citations), Artificial Intelligence (572 citations), Information Systems (252 citations) and Computer Science Applications (28 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, David Banks and Nien‐Fan Zhang. Their work appears in journals such as Information Processing & Management, ACM SIGIR Forum, ACM Transactions on Information Systems, IT Professional and AIAA Journal.

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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