Greg Pass
Impact in
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- Advanced Image and Video Retrieval Techniques
- Image Retrieval and Classification Techniques
- Video Analysis and Summarization
- Media Technology top 2%
- Remote-Sensing Image Classification
Papers in
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- Web Data Mining and Analysis 5
- Information Retrieval and Search Behavior 2
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- Advanced Image and Video Retrieval Techniques 4
- Image Retrieval and Classification Techniques 4
- Video Analysis and Summarization 2
- Co-authors
- Ramin Zabih (3 shared papers)Justin L. Miller (1 shared paper)Abdur Chowdhury (5 shared papers)Eric C. Jensen (2 shared papers)Ophir Frieder (2 shared papers)Steven M. Beitzel (2 shared papers)Ling Ma (1 shared paper)David A. Grossman (1 shared paper)
- Journals
- Multimedia Systems (1 paper)Text REtrieval Conference (1 paper)
- Partner nations
- United States
In The Last Decade
Greg Pass
8 papers receiving 1.5k citations
Greg Pass's Hit Papers
Peers
Comparison fields: 5 of 88
- Computer Vision and Pattern Recognition 1.1k
- Media Technology 217
- Signal Processing 202
- Information Systems 397
- Artificial Intelligence 336
Countries citing papers authored by Greg Pass
This map shows the geographic impact of Greg Pass'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 Greg Pass with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Greg Pass more than expected).
Fields of papers citing papers by Greg Pass
This network shows the impact of papers produced by Greg Pass. 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 Greg Pass. The network helps show where Greg Pass may publish in the future.
Co-authors
The 8 scholars most cited alongside Greg Pass, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Comparing images using color coherence vectors Hit paper breakdown → | 1996 | 651 |
| 2 | A picture of search Hit paper breakdown → | 2006 | 477 |
| 3 | 2002 | 342 | |
| 4 | 1999 | 162 | |
| 5 | 2003 | 32 | |
| 6 | 2005 | 17 | |
| 7 | 2003 | 3 | |
| 8 | IIT at TREC 2003, Task Classification and Document Structrure for Known-Item Search. | 2003 | 2 |
About Greg Pass
Greg Pass is a scholar working on Information Systems, Computer Vision and Pattern Recognition, Signal Processing, Computer Networks and Communications and Management Science and Operations Research, having authored 8 papers that have together received 1.7k indexed citations. Recurring topics across this work include Web Data Mining and Analysis (5 papers), Advanced Image and Video Retrieval Techniques (4 papers), Image Retrieval and Classification Techniques (4 papers), Information Retrieval and Search Behavior (2 papers), Video Analysis and Summarization (2 papers), Data Management and Algorithms (2 papers), Data Quality and Management (1 paper) and Caching and Content Delivery (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (1.1k citations), Media Technology (217 citations), Signal Processing (202 citations), Information Systems (397 citations) and Artificial Intelligence (336 citations). Greg Pass has collaborated with scholars based in United States. Frequent co-authors include Ramin Zabih, Justin L. Miller, Abdur Chowdhury, Eric C. Jensen, Ophir Frieder, Steven M. Beitzel, Ling Ma and David A. Grossman. Their work appears in journals such as Multimedia Systems and Text REtrieval Conference.
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.