S. Chitrakala

835 citations
52 papers · 497 indexed · h-index 10
Topics
Complex Network Analysis Techniques (11 papers)Advanced Image and Video Retrieval Techniques (11 papers)Image Retrieval and Classification Techniques (9 papers)
Partner nations
IndiaUnited States

In The Last Decade

S. Chitrakala

48 papers receiving 458 citations

Peers

S. Chitrakala
Comparison fields: 5 of 71
  • Artificial Intelligence 306
  • Computer Vision and Pattern Recognition 162
  • Information Systems 53
  • Management Science and Operations Research 31
  • Biomedical Engineering 28
Replace Xuanjing Huang with:
Xuanjing Huang China
Dazhen Lin China
S. Sendhilkumar India
Hayato Kobayashi Japan
Ledell Wu China
Yiheng Xu China
Dongyeop Kang United States
Mansur Alp Toçoğlu Türkiye
Meiyu Liang China
Cam-Tu Nguyen China
S. Chitrakala relative to Xuanjing Huang China Xuanjing Huang's profile →
Citations per field
00.5×2.7×
Xuanjing Huang · 1×
Citations per year

Countries citing papers authored by S. Chitrakala

Since Specialization
Citations

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

Fields of papers citing papers by S. Chitrakala

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Chitrakala

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 7
3 5
4 11
5 2
6 3
7 7
8 2
9 16
10 3
11 4
12 85
13 2
14 1
15 3
16 6
17 3
18 4
19 3
20 2

About S. Chitrakala

S. Chitrakala is a scholar working on Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics and Artificial Intelligence, having authored 52 papers that have together received 497 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (11 papers), Advanced Image and Video Retrieval Techniques (11 papers) and Image Retrieval and Classification Techniques (9 papers). The work is most often cited by research in Artificial Intelligence (306 citations), Computer Vision and Pattern Recognition (162 citations) and General Social Sciences (9 citations). S. Chitrakala has collaborated with scholars based in India and United States. Frequent co-authors include Sashank Sridhar, D. Manjula, S. Suchitra, Sahana Dinesh and C. M. Bhatt. Their work appears in journals such as Multimedia Tools and Applications, The Visual Computer and Concurrency and Computation Practice and Experience.

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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