Rasmita Dash

926 citations
62 papers · 583 · h-index 12

Impact in

Papers in

    • AI in cancer detection 11
    • Evolutionary Algorithms and Applications 8
    • Metaheuristic Optimization Algorithms Research 5
    • Machine Learning and Data Classification 5
    • Remote-Sensing Image Classification 6

Rasmita Dash

50 papers receiving 544 citations

Peers

Rasmita Dash
Comparison fields: 5 of 99
  • Health Information Management 47
  • Artificial Intelligence 318
  • Management Science and Operations Research 80
  • Computer Vision and Pattern Recognition 101
  • Neurology 25
Replace Tong Ruan with:
Tong Ruan China
Andrea Bommert Germany
Prasanna Kumar Rangarajan India
Mehr Yahya Durrani Pakistan
Kaniz Fatema Bangladesh
Luciano Caroprese Italy
Lourdes Borrajo Spain
Bryar A. Hassan Iraq
Ritam Guha India
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Citations per field
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Citations per year

Countries citing papers authored by Rasmita Dash

Since Specialization
Citations

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

Fields of papers citing papers by Rasmita Dash

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside Rasmita Dash, 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 Rasmita Dash Line = papers co-authored together Rasmita Dash links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Comparative Analysis of Supervised and Unsupervised Discretization Techniques
201179
2 202056
3 201953
4 201850
5 202345
6 201624
7 201924
8 201723
9 202218
10 201716
11 201915
12 202415
13 201612
14 202010
15 202010
16 201810
17 20248
18 20187
19 20247
20 20147

About Rasmita Dash

Rasmita Dash is a scholar working on Artificial Intelligence, Media Technology, Computer Vision and Pattern Recognition, Molecular Biology and Health Information Management, having authored 62 papers that have together received 583 indexed citations. Recurring topics across this work include Gene expression and cancer classification (18 papers), AI in cancer detection (11 papers), Evolutionary Algorithms and Applications (8 papers), Face and Expression Recognition (7 papers), Remote-Sensing Image Classification (6 papers), Metaheuristic Optimization Algorithms Research (5 papers), Machine Learning and Data Classification (5 papers) and Remote Sensing in Agriculture (5 papers). The work is most often cited by research in Health Information Management (47 citations), Artificial Intelligence (318 citations), Management Science and Operations Research (80 citations), Computer Vision and Pattern Recognition (101 citations) and Neurology (25 citations). Rasmita Dash has collaborated with scholars based in India, United Arab Emirates and South Korea. Frequent co-authors include Rajashree Dash, Madhusmita Sahu, Rasmita Rautray, Bijan Bihari Misra, Sambit Kumar Mishra, Jogeswar Tripathy, Binod Kumar Pattanayak, Deepak Puthal, Mamoona Humayun and Mohammed Ali Assiri. Their work appears in journals such as Journal of King Saud University - Computer and Information Sciences, Applied Soft Computing, Big Data and Cognitive Computing, International Journal of Environmental Research and Public Health and IEEE Access.

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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