T. Kar

413 citations
28 papers · 225 · h-index 7

Impact in

Papers in

    • Video Analysis and Summarization 9
    • Advanced Image and Video Retrieval Techniques 7
    • Advanced Data Compression Techniques 4
    • Advanced Vision and Imaging 4
    • Video Coding and Compression Technologies 3
    • Music and Audio Processing 3

T. Kar

23 papers receiving 215 citations

Peers

T. Kar
Comparison fields: 5 of 63
  • Health Informatics 16
  • Computer Vision and Pattern Recognition 93
  • Neurology 28
  • Radiology, Nuclear Medicine and Imaging 76
  • Signal Processing 34
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Citations per field
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Citations per year

Countries citing papers authored by T. Kar

Since Specialization
Citations

This map shows the geographic impact of T. Kar'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 T. Kar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Kar more than expected).

Fields of papers citing papers by T. Kar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T. Kar. 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 T. Kar. The network helps show where T. Kar may publish in the future.

Co-authors

The 19 scholars most cited alongside T. Kar, 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 T. Kar Line = papers co-authored together T. Kar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202195
2 202124
3 201720
4 202416
5 20249
6 20158
7 20237
8 20155
9 20225
10 20185
11 20175
12 20234
13 20244
14 20213
15 20243
16 20232
17 20212
18 20242
19 20162
20
A Novel Method of Shot Boundary Detection using Center Symmetric Local Binary Pattern
20181

About T. Kar

T. Kar is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Computational Mechanics, having authored 28 papers that have together received 225 indexed citations. Recurring topics across this work include Video Analysis and Summarization (9 papers), Advanced Image and Video Retrieval Techniques (7 papers), Advanced Data Compression Techniques (4 papers), Advanced Vision and Imaging (4 papers), COVID-19 diagnosis using AI (3 papers), Video Coding and Compression Technologies (3 papers), Music and Audio Processing (3 papers) and IoT-based Smart Home Systems (2 papers). The work is most often cited by research in Health Informatics (16 citations), Computer Vision and Pattern Recognition (93 citations), Neurology (28 citations), Radiology, Nuclear Medicine and Imaging (76 citations) and Signal Processing (34 citations). T. Kar has collaborated with scholars based in India, United States and Saudi Arabia. Frequent co-authors include Priyadarshi Kanungo, Sachi Nandan Mohanty, Khan Muhammad, Abdullah AlTameem, Abdul Khader Jilani Saudagar, Prayag Tiwari, Yazhou Zhang, Umesh Chandra Samal, Mohamed S. Soliman and Prince Jain. Their work appears in journals such as Multimedia Tools and Applications, International Journal of Environmental Research and Public Health, IEEE Access, Artificial Intelligence Review and Signal Image and Video Processing.

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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