A.K. Ray

49 papers receiving 920 citations

Peers

A.K. Ray
Comparison fields: 5 of 117
  • Computer Vision and Pattern Recognition 281
  • Media Technology 120
  • Cardiology and Cardiovascular Medicine 217
  • Cognitive Neuroscience 178
  • Management Science and Operations Research 98
Replace R. Ruı́z with:
R. Ruı́z Spain
Siu‐Yeung Cho Singapore
Mihir Narayan Mohanty India
Karim Mohammadi Iran
Yaqin Zhao China
S. Gonzalez Canada
Arvind Kumar Tiwari India
Puneet Jain India
Neethu Mohan India
D. Cabello Spain
A.K. Ray relative to R. Ruı́z Spain R. Ruı́z's profile →
Citations per field
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Citations per year

Countries citing papers authored by A.K. Ray

Since Specialization
Citations

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

Fields of papers citing papers by A.K. Ray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A.K. Ray. 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 A.K. Ray. The network helps show where A.K. Ray may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012229
2 2010107
3 200793
4 200371
5 200443
6 200035
7 200434
8 201230
9 200430
10 199630
11 201128
12 199626
13 198425
14 201017
15 200014
16 199913
17 200412
18 201012
19 200310
20 199610

About A.K. Ray

A.K. Ray is a scholar working on Computer Vision and Pattern Recognition, Mechanical Engineering, Artificial Intelligence, Materials Chemistry and Media Technology, having authored 50 papers that have together received 1.0k indexed citations. Recurring topics across this work include High Temperature Alloys and Creep (8 papers), High-Temperature Coating Behaviors (7 papers), Nuclear Materials and Properties (6 papers), Image Retrieval and Classification Techniques (6 papers), Medical Image Segmentation Techniques (5 papers), Remote-Sensing Image Classification (4 papers), Retinal Imaging and Analysis (4 papers) and Rough Sets and Fuzzy Logic (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (281 citations), Media Technology (120 citations), Cardiology and Cardiovascular Medicine (217 citations), Cognitive Neuroscience (178 citations) and Management Science and Operations Research (98 citations). A.K. Ray has collaborated with scholars based in India, United States and Singapore. Frequent co-authors include Tamalika Chaira, Chandan Chakraborty, U. Rajendra Acharya, Kayapanda Mandana, Roshan Joy Martis, C. V. Jawahar, Moupiya Ghosh, K. Kumar, Satish V. Kailas and B. Chatterjee. Their work appears in journals such as Pattern Recognition Letters, Journal of Microscopy, IEEE Signal Processing Letters, Information Sciences and Canadian Metallurgical Quarterly.

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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