Chaitra Desai

471 total citations
11 papers, 101 citations indexed

About

Chaitra Desai is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Chaitra Desai has authored 11 papers receiving a total of 101 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 3 papers in Media Technology and 2 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Chaitra Desai's work include Image Enhancement Techniques (9 papers), Advanced Image Processing Techniques (8 papers) and Image and Signal Denoising Methods (4 papers). Chaitra Desai is often cited by papers focused on Image Enhancement Techniques (9 papers), Advanced Image Processing Techniques (8 papers) and Image and Signal Denoising Methods (4 papers). Chaitra Desai collaborates with scholars based in India. Chaitra Desai's co-authors include Ujwala Patil, Ramesh Ashok Tabib, Uma Mudenagudi and Prabin Kumar Bora and has published in prestigious journals such as ACM Transactions on Multimedia Computing Communications and Applications, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) and Procedia Computer Science.

In The Last Decade

Chaitra Desai

11 papers receiving 97 citations

Peers

Chaitra Desai
Comparison fields: 5 of 24
  • Computer Vision and Pattern Recognition 86
  • Media Technology 35
  • Geology 13
  • Environmental Engineering 11
  • Computational Mechanics 8
Replace Xinjun Ma with:
Xinjun Ma China
Zizhuang Wei China
Ramesh Ashok Tabib India
Ole Johannsen Germany
Yeying Jin Singapore
Rafia Rahim Germany
Amirreza Shaban United States
Xuhua Huang Hong Kong
E. Montiel United Kingdom
Xinjun Ma China View profile →
Citations per field, relative to Chaitra Desai
Chaitra Desai · 1×
Citations per year, relative to Chaitra Desai
Chaitra Desai · 1×

Countries citing papers authored by Chaitra Desai

Since Specialization
Citations

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

Fields of papers citing papers by Chaitra Desai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chaitra Desai

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

All Works

11 of 11 papers shown
# Work Indexed citations
1 1
2 2
3 5
4 6
5 18
6 5
7 20
8 2
9 18
10 9
11 15

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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