Rangachar Kasturi

11.9k citations
149 papers · 5.0k indexed · 1 hit paper · h-index 31

Rangachar Kasturi

141 papers receiving 4.6k citations

Hit Papers

Machine vision1.2k19952026200520152505007501000

Peers

Rangachar Kasturi
Comparison fields: 5 of 170
  • Computer Vision and Pattern Recognition 3.7k
  • Media Technology 643
  • Signal Processing 558
  • Industrial and Manufacturing Engineering 257
  • Human-Computer Interaction 127
Replace Frank Y. Shih with:
Frank Y. Shih United States
Di Huang China
Shang‐Hong Lai Taiwan
Elisa Ricci Italy
Wei Jiang China
Wei Chen China
Cha Zhang United States
Jun Cheng China
Lizhuang Ma China
Juyang Weng United States
Rangachar Kasturi relative to Frank Y. Shih United States Frank Y. Shih's profile →
Citations per field
00.5×2.7×
Frank Y. Shih · 1×
Citations per year

Countries citing papers authored by Rangachar Kasturi

Since Specialization
Citations

This map shows the geographic impact of Rangachar Kasturi'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 Rangachar Kasturi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rangachar Kasturi more than expected).

Fields of papers citing papers by Rangachar Kasturi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Rangachar Kasturi, 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 Rangachar Kasturi Line = papers co-authored together Rangachar Kasturi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202117
2 202051
3 201933
4 201914
5 201772
6 201213
7 2009344
8
An Evaluation of Color Histogram Based Methods in Video Indexing
20075
9 200730
10 200618
11
Graphics recognition - algorithms and systems - general conclusions
19987
12
Executive briefing : document image analysis
199711
13 199512
14
A robust algorithm for text string separation from mixed text/graphics images
19952
15 19948
16
Document Image Analysis Systems - Guest Editors' Introduction to the Special Issue.
199245
17
Techniques for Line Drawing Interpretation: An Overview
199015
18
Query Processing for Information Extraction from Image of Paper-Based Maps.
19881
19 19861
20 198315

About Rangachar Kasturi

Rangachar Kasturi is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Pharmacy, having authored 149 papers that have together received 5.0k indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (40 papers), Image and Object Detection Techniques (26 papers), Advanced Image and Video Retrieval Techniques (24 papers), Image Processing and 3D Reconstruction (19 papers), Image Retrieval and Classification Techniques (17 papers), Video Analysis and Summarization (15 papers), Advanced Vision and Imaging (10 papers) and Robotics and Sensor-Based Localization (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (3.7k citations), Media Technology (643 citations) and Signal Processing (558 citations). Rangachar Kasturi has collaborated with scholars based in United States, India and Taiwan. Frequent co-authors include Ramesh Jain, Brian G. Schunck, Ullas Gargi, Sameer Antani, Dmitry B. Goldgof, Jing Zhang, Lawrence O’Gorman, Joshua Candamo, Matthew Shreve and Sudeep Sarkar. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Machine Vision and Applications, Pattern Recognition, International Journal on Document Analysis and Recognition (IJDAR) and IEEE Transactions on Image 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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