Michael G. Christel

2.9k total citations
85 papers, 1.5k citations indexed

About

Michael G. Christel is a scholar working on Computer Vision and Pattern Recognition, Sociology and Political Science and Artificial Intelligence. According to data from OpenAlex, Michael G. Christel has authored 85 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Computer Vision and Pattern Recognition, 22 papers in Sociology and Political Science and 15 papers in Artificial Intelligence. Recurrent topics in Michael G. Christel's work include Video Analysis and Summarization (57 papers), Advanced Image and Video Retrieval Techniques (28 papers) and Image Retrieval and Classification Techniques (27 papers). Michael G. Christel is often cited by papers focused on Video Analysis and Summarization (57 papers), Advanced Image and Video Retrieval Techniques (28 papers) and Image Retrieval and Classification Techniques (27 papers). Michael G. Christel collaborates with scholars based in United States, China and France. Michael G. Christel's 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 and has published in prestigious journals such as Proceedings of the IEEE, Communications of the ACM and ACM Computing Surveys.

In The Last Decade

Michael G. Christel

77 papers receiving 1.4k citations

Peers

Michael G. Christel
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
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Citations per field, relative to Michael G. Christel
Michael G. Christel · 1×
Citations per year, relative to Michael G. Christel
Michael G. Christel · 1×

Countries citing papers authored by Michael G. Christel

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
# 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

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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