Michael G. Christel
- Computer Vision and Pattern Recognition top 0.5%
- Signal Processing top 2%
- Sociology and Political Science top 5%
- Artificial Intelligence top 5%
- Information Systems top 5%
- Co-authors
- Alexander G. HauptmannHoward D. WactlarMichael A. SmithColin TaylorAlex HauptmannWeihao LinYihong GongRong Yan
- Topics
- Video Analysis and Summarization (57 papers)Advanced Image and Video Retrieval Techniques (28 papers)Image Retrieval and Classification Techniques (27 papers)
- Partner nations
- United StatesChinaFrance
In The Last Decade
Michael G. Christel
77 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 75
- Computer Vision and Pattern Recognition 1.2k
- Signal Processing 369
- Sociology and Political Science 332
- Artificial Intelligence 286
- Information Systems 159
Countries citing papers authored by Michael G. Christel
This map shows the geographic impact of Michael G. Christel'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 Michael G. Christel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael G. Christel more than expected).
Fields of papers citing papers by Michael G. Christel
This network shows the impact of papers produced by Michael G. Christel. 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 Michael G. Christel. The network helps show where Michael G. Christel may publish in the future.
Co-authorship network of co-authors of Michael G. Christel
This figure shows the co-authorship network connecting the top 25 collaborators of Michael G. Christel. A scholar is included among the top collaborators of Michael G. Christel 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 Michael G. Christel. Michael G. Christel 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 | 0 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 0 | |
| 9 | 3 | |
| 10 | 17 | |
| 11 | 25 | |
| 12 | 28 | |
| 13 | 6 | |
| 14 | Confounded Expectations: Informedia at TRECVID 2004. | 26 |
| 15 | 16 | |
| 16 | 5 | |
| 17 | 18 | |
| 18 | Improving Access to Digital Video Archives through Informedia Technology | 2 |
| 19 | 16 | |
| 20 | 21 |
About Michael G. Christel
Michael G. Christel is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Computer Science Applications, having authored 85 papers that have together received 1.5k indexed citations. Recurring topics across this work include Video Analysis and Summarization (57 papers), Advanced Image and Video Retrieval Techniques (28 papers) and Image Retrieval and Classification Techniques (27 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.2k citations), Signal Processing (369 citations) and Computer Science Applications (61 citations). Michael G. Christel has collaborated with scholars based in United States, China and France. Frequent co-authors include Alexander G. Hauptmann, Howard D. Wactlar, Michael A. Smith, Colin Taylor, Alex Hauptmann, Weihao Lin, Yihong Gong, Rong Yan, Rong Yan and Scott Stevens. Their work appears in journals such as Proceedings of the IEEE, Communications of the ACM and ACM Computing Surveys.
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.