Chitra Dorai
- Computer Vision and Pattern Recognition top 2%
- Signal Processing top 5%
- Sociology and Political Science
- Information Systems top 10%
- Computer Networks and Communications
- Co-authors
- Svetha VenkateshBa Tu TruongAnil K. JainBrett AdamsSimon MoncrieffDinh PhungYing LiRobert Farrell
- Topics
- Video Analysis and Summarization (28 papers)Music and Audio Processing (18 papers)Image Retrieval and Classification Techniques (13 papers)
- Partner nations
- United StatesAustraliaIndia
In The Last Decade
Chitra Dorai
44 papers receiving 465 citations
Peers
Comparison fields: 5 of 60
- Computer Vision and Pattern Recognition 396
- Signal Processing 206
- Sociology and Political Science 76
- Information Systems 61
- Computer Networks and Communications 54
Countries citing papers authored by Chitra Dorai
This map shows the geographic impact of Chitra Dorai'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 Chitra Dorai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chitra Dorai more than expected).
Fields of papers citing papers by Chitra Dorai
This network shows the impact of papers produced by Chitra Dorai. 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 Chitra Dorai. The network helps show where Chitra Dorai may publish in the future.
Co-authorship network of co-authors of Chitra Dorai
This figure shows the co-authorship network connecting the top 25 collaborators of Chitra Dorai. A scholar is included among the top collaborators of Chitra Dorai 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 Chitra Dorai. Chitra Dorai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 14 | |
| 3 | 2 | |
| 4 | 4 | |
| 5 | 8 | |
| 6 | 7 | |
| 7 | 1 | |
| 8 | 17 | |
| 9 | VSSN '04 : proceedings of the ACM Second International Workshop on Video Surveillance & Sensor Networks, October 15, 2004, New York, NY, USA, co-located with ACM Multimedia 2004 | 1 |
| 10 | 5 | |
| 11 | Video genre categorization using audio wavelet coefficients | 11 |
| 12 | 21 | |
| 13 | IBM Research TREC 2002 Video Retrieval System. | 36 |
| 14 | 2 | |
| 15 | 10 | |
| 16 | Role of shot length in characterizing tempo and dramatic story sections in motion pictures | 13 |
| 17 | Incorporating domain knowledge with video and voice data analysis in news broadcasts | 8 |
| 18 | 15 | |
| 19 | 1 | |
| 20 | 6 |
About Chitra Dorai
Chitra Dorai is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Management Information Systems, having authored 44 papers that have together received 518 indexed citations. Recurring topics across this work include Video Analysis and Summarization (28 papers), Music and Audio Processing (18 papers) and Image Retrieval and Classification Techniques (13 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (396 citations), Signal Processing (206 citations) and Information Systems (61 citations). Chitra Dorai has collaborated with scholars based in United States, Australia and India. Frequent co-authors include Svetha Venkatesh, Ba Tu Truong, Anil K. Jain, Brett Adams, Simon Moncrieff, Dinh Phung, Ying Li, Robert Farrell, Anees Shaikh and Yaoping Ruan. Their work appears in journals such as Proceedings of the IEEE, Pattern Recognition and Multimedia Tools and Applications.
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.