Ritesh Sarkhel

472 citations
15 papers · 276 indexed · h-index 8
Topics
Handwritten Text Recognition Techniques (6 papers)Advanced Image and Video Retrieval Techniques (6 papers)Vehicle License Plate Recognition (3 papers)
Partner nations
United StatesIndia

In The Last Decade

Ritesh Sarkhel

15 papers receiving 258 citations

Peers

Ritesh Sarkhel
Comparison fields: 5 of 44
  • Computer Vision and Pattern Recognition 194
  • Media Technology 112
  • Artificial Intelligence 108
  • Human-Computer Interaction 23
  • Computational Theory and Mathematics 22
Replace Wataru Ohyama with:
Wataru Ohyama Japan
R. Legault Canada
C. Nadal Canada
Kai Ding China
Chengquan Zhang China
Curtis Wigington United States
Stanley Janet United States
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Ritesh Sarkhel relative to Wataru Ohyama Japan Wataru Ohyama's profile →
Citations per field
00.5×
Wataru Ohyama · 1×
Citations per year

Countries citing papers authored by Ritesh Sarkhel

Since Specialization
Citations

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

Fields of papers citing papers by Ritesh Sarkhel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ritesh Sarkhel

This figure shows the co-authorship network connecting the top 25 collaborators of Ritesh Sarkhel. A scholar is included among the top collaborators of Ritesh Sarkhel 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 Ritesh Sarkhel. Ritesh Sarkhel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
#WorkIndexed citations
1 3
2 3
3 4
4 11
5 1
6 7
7 24
8 16
9
A K-Competitive Autoencoder for Aggression Detection in Social Media Text
1
10 3
11 14
12 37
13 6
14 73
15 73

About Ritesh Sarkhel

Ritesh Sarkhel is a scholar working on Family Practice, Computer Vision and Pattern Recognition and Media Technology, having authored 15 papers that have together received 276 indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (6 papers), Advanced Image and Video Retrieval Techniques (6 papers) and Vehicle License Plate Recognition (3 papers). The work is most often cited by research in Media Technology (112 citations), Computer Vision and Pattern Recognition (194 citations) and Human-Computer Interaction (23 citations). Ritesh Sarkhel has collaborated with scholars based in United States and India. Frequent co-authors include Nibaran Das, Mita Nasipuri, Amit Saha, Mahantapas Kundu, Arnab Nandi, Anisha Gupta, Swarnendu Ghosh, Binxuan Huang, Prashant Shiralkar and Susan D. Moffatt‐Bruce. Their work appears in journals such as Pattern Recognition, Pattern Recognition Letters and Proceedings of the VLDB Endowment.

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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