Rasmita Dash

861 total citations
45 papers, 430 citations indexed

About

Rasmita Dash is a scholar working on Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Rasmita Dash has authored 45 papers receiving a total of 430 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Artificial Intelligence, 16 papers in Molecular Biology and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Rasmita Dash's work include Gene expression and cancer classification (13 papers), Evolutionary Algorithms and Applications (8 papers) and AI in cancer detection (6 papers). Rasmita Dash is often cited by papers focused on Gene expression and cancer classification (13 papers), Evolutionary Algorithms and Applications (8 papers) and AI in cancer detection (6 papers). Rasmita Dash collaborates with scholars based in India, United Arab Emirates and Switzerland. Rasmita Dash's co-authors include Rajashree Dash, Rasmita Rautray, Bijan Bihari Misra, Sambit Kumar Mishra, Madhusmita Sahu, Jogeswar Tripathy, Binod Kumar Pattanayak, Deepak Puthal, Mamoona Humayun and Rakesh Chandra Balabantaray and has published in prestigious journals such as IEEE Access, International Journal of Environmental Research and Public Health and Applied Soft Computing.

In The Last Decade

Rasmita Dash

39 papers receiving 402 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Rasmita Dash India 12 251 108 73 62 43 45 430
Ayush Singhal United States 10 161 0.6× 149 1.4× 79 1.1× 22 0.4× 74 1.7× 22 457
Pablo Bermejo Spain 10 336 1.3× 78 0.7× 136 1.9× 23 0.4× 93 2.2× 26 591
Borja Seijo-Pardo Spain 5 239 1.0× 83 0.8× 113 1.5× 21 0.3× 38 0.9× 7 357
Feng Chu Singapore 7 220 0.9× 225 2.1× 122 1.7× 21 0.3× 37 0.9× 9 484
Mehdi Naseriparsa Australia 8 266 1.1× 32 0.3× 39 0.5× 41 0.7× 76 1.8× 13 413
S. Punitha India 11 321 1.3× 56 0.5× 103 1.4× 16 0.3× 41 1.0× 42 494
David J. Dittman United States 14 422 1.7× 197 1.8× 108 1.5× 14 0.2× 137 3.2× 38 612
X. D. Zhang United States 12 456 1.8× 48 0.4× 109 1.5× 27 0.4× 111 2.6× 30 557
Swati Vipsita India 10 191 0.8× 138 1.3× 63 0.9× 8 0.1× 21 0.5× 38 349
Alessio Martino Italy 13 177 0.7× 64 0.6× 48 0.7× 46 0.7× 27 0.6× 45 474

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-authorship network of co-authors of Rasmita Dash

This figure shows the co-authorship network connecting the top 25 collaborators of Rasmita Dash. A scholar is included among the top collaborators of Rasmita Dash 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 Rasmita Dash. Rasmita Dash 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
1.
Dash, Rasmita, et al.. (2025). A deep learning approach using modified Xception net for oral malignancy detection using histopathological images of oral mucosa. International Journal of Applied Decision Sciences. 18(2). 168–188.
2.
Sahu, Madhusmita & Rasmita Dash. (2025). A deep classification model to assess environment following hazards using remote sensing images. Discover Applied Sciences. 7(7).
3.
Dash, Rasmita, et al.. (2024). An Ensemble Deep Learning Model for Oral Squamous Cell Carcinoma Detection Using Histopathological Image Analysis. IEEE Access. 12. 127185–127197. 4 indexed citations
4.
Sahu, Madhusmita & Rasmita Dash. (2024). Cognitive land cover mapping: A three-layer deep learning architecture for remote sensing data classification. Environmental Challenges. 15. 100876–100876. 4 indexed citations
5.
Rautray, Rasmita, et al.. (2024). A Review on Metaheuristic Approaches for Optimization Problems. Studies in computational intelligence. 33–55. 7 indexed citations
6.
Dash, Rasmita, et al.. (2023). Automatic Detection of Oral Squamous Cell Carcinoma from Histopathological Images of Oral Mucosa Using Deep Convolutional Neural Network. International Journal of Environmental Research and Public Health. 20(3). 2131–2131. 35 indexed citations
7.
Tripathy, Jogeswar, Rasmita Dash, & Binod Kumar Pattanayak. (2023). Chronic disease diagnosis and classification utilizing an intelligent classifier with WEKA tool. AIP conference proceedings. 2819. 30006–30006. 1 indexed citations
8.
9.
Dash, Rasmita, et al.. (2023). Filter Approaches for Dimension Reduction on Microarray Data. 1–4.
10.
Tripathy, Jogeswar, et al.. (2022). Combination of Reduction Detection Using TOPSIS for Gene Expression Data Analysis. Big Data and Cognitive Computing. 6(1). 24–24. 16 indexed citations
11.
Tripathy, Jogeswar, Rasmita Dash, & Binod Kumar Pattanayak. (2022). A Healthcare Data Analysis Approach for Breast Cancer Gene expression. 189–193. 2 indexed citations
12.
Sahu, Madhusmita, Rasmita Dash, Sambit Kumar Mishra, & Deepak Puthal. (2022). A Smart Logistic Classification Method for Remote Sensed Image Land Cover Data. SN Computer Science. 3(6). 4 indexed citations
13.
Tripathy, Jogeswar, Rasmita Dash, & Binod Kumar Pattanayak. (2021). A Case Study on Data Classification Approach Using K-Nearest Neighbor. 3. 1–6. 6 indexed citations
14.
Rautray, Rasmita, et al.. (2021). ASSIE: Application of Squirrel Search Algorithm for Information Extraction Problem. 1–7. 3 indexed citations
15.
Dash, Rasmita, et al.. (2020). Performance Analysis of Classification Techniques for Car Data Set Analysis. 549–553. 4 indexed citations
16.
Dash, Rajashree, et al.. (2019). An integrated TOPSIS crow search based classifier ensemble: In application to stock index price movement prediction. Applied Soft Computing. 85. 105784–105784. 50 indexed citations
17.
Rautray, Rasmita, Rasmita Dash, & Rajashree Dash. (2019). Performance analysis of Modified Shuffled Frog leaping Algorithm for Multi-document Summarization Problem. Informatica. 43(3). 1 indexed citations
18.
Dash, Rasmita, Rajashree Dash, & Rasmita Rautray. (2019). An evolutionary framework based microarray gene selection and classification approach using binary shuffled frog leaping algorithm. Journal of King Saud University - Computer and Information Sciences. 34(3). 880–891. 23 indexed citations
19.
Sahu, Madhusmita, et al.. (2019). Application of Cellular Automata for an Efficient Symmetric Key Cryptosystem. 21–26. 2 indexed citations
20.
Dash, Rasmita & Bijan Bihari Misra. (2016). Pipelining the ranking techniques for microarray data classification: A case study. Applied Soft Computing. 48. 298–316. 22 indexed citations

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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