Sashikala Mishra

690 total citations
47 papers, 339 citations indexed

About

Sashikala Mishra is a scholar working on Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Sashikala Mishra has authored 47 papers receiving a total of 339 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 14 papers in Molecular Biology and 12 papers in Computer Vision and Pattern Recognition. Recurrent topics in Sashikala Mishra's work include Gene expression and cancer classification (11 papers), Face and Expression Recognition (6 papers) and Artificial Intelligence in Healthcare (5 papers). Sashikala Mishra is often cited by papers focused on Gene expression and cancer classification (11 papers), Face and Expression Recognition (6 papers) and Artificial Intelligence in Healthcare (5 papers). Sashikala Mishra collaborates with scholars based in India, Australia and Singapore. Sashikala Mishra's co-authors include Kailash Shaw, Debahuti Mishra, Shruti Patil, Ketan Kotecha, Ajith Abraham, Deepali Vora, Jyoti Choudrie, Asit Kumar Das, Amiya Kumar Rath and Satish Kumar and has published in prestigious journals such as IEEE Access, Frontiers in Public Health and Connection Science.

In The Last Decade

Sashikala Mishra

38 papers receiving 316 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sashikala Mishra India 10 172 65 40 33 24 47 339
Ahmed Omar Egypt 8 207 1.2× 68 1.0× 27 0.7× 47 1.4× 23 1.0× 13 379
Anthony Levas United States 12 141 0.8× 98 1.5× 39 1.0× 40 1.2× 14 0.6× 19 401
Entesar Hamed I. Eliwa Saudi Arabia 7 98 0.6× 44 0.7× 18 0.5× 53 1.6× 14 0.6× 17 270
Amr Mohamed El Koshiry Saudi Arabia 6 98 0.6× 42 0.6× 18 0.5× 53 1.6× 14 0.6× 13 261
Mansur Alp Toçoğlu Türkiye 8 291 1.7× 36 0.6× 16 0.4× 62 1.9× 12 0.5× 11 427
Maria do Carmo Nicoletti Brazil 11 171 1.0× 31 0.5× 26 0.7× 41 1.2× 16 0.7× 58 360
Wahiba Ben Abdessalem Karâa Tunisia 12 119 0.7× 87 1.3× 34 0.8× 96 2.9× 8 0.3× 38 330
Laïla Benhlima Morocco 8 111 0.6× 46 0.7× 23 0.6× 74 2.2× 29 1.2× 37 324
Rosalía Laza Spain 10 156 0.9× 32 0.5× 23 0.6× 70 2.1× 15 0.6× 32 307

Countries citing papers authored by Sashikala Mishra

Since Specialization
Citations

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

Fields of papers citing papers by Sashikala Mishra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sashikala Mishra

This figure shows the co-authorship network connecting the top 25 collaborators of Sashikala Mishra. A scholar is included among the top collaborators of Sashikala Mishra 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 Sashikala Mishra. Sashikala Mishra 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.
Awasthi, A. K., et al.. (2025). A Novel Hybrid Approach to Crop Yield Prediction: Combining Deep Learning Efficiency with Statistical Precision. International Journal of Computing and Digital Systems. 17(1). 1–12.
2.
Mishra, Debahuti, et al.. (2025). An Optimized Cascaded CNN Approach for Feature Extraction From Brain MRIs for Tumor Classification. IEEE Access. 13. 32681–32705. 1 indexed citations
3.
4.
Patel, Jay, et al.. (2024). PromptArt: AI-Powered Image Generation. 1–6.
5.
Gite, Shilpa, et al.. (2024). Comparative study of deep learning explainability and causal ai for fraud detection. International Journal on Smart Sensing and Intelligent Systems. 17(1). 1 indexed citations
6.
Mishra, Debahuti, et al.. (2024). Bitcoin volatility forecasting: a comparative analysis of conventional econometric models with deep learning models. International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering. 15(1). 614–614. 1 indexed citations
7.
Vora, Deepali, et al.. (2024). Behavioral profiling for adaptive video summarization: From generalization to personalization. MethodsX. 13. 102780–102780. 2 indexed citations
8.
Das, Kaberi, et al.. (2024). Balancing data imbalance in biomedical datasets using a stacked augmentation approach with STDA, DAGAN, and pufferfish optimization to reveal AI's transformative impact. International Journal of Information Technology. 17(1). 455–480. 4 indexed citations
9.
Mishra, Sashikala, et al.. (2023). Comparison of Regression and Classification Models for Prediction of the Retail Sales. 1–7. 1 indexed citations
10.
11.
Mishra, Sashikala, et al.. (2022). Question Answer System: A State-of-Art Representation of Quantitative and Qualitative Analysis. Big Data and Cognitive Computing. 6(4). 109–109. 11 indexed citations
12.
Mishra, Sashikala, et al.. (2022). Deep Learning Approaches for Video Compression: A Bibliometric Analysis. Big Data and Cognitive Computing. 6(2). 44–44. 31 indexed citations
13.
Mishra, Sashikala, Kailash Shaw, Debahuti Mishra, et al.. (2022). Improving the Accuracy of Ensemble Machine Learning Classification Models Using a Novel Bit-Fusion Algorithm for Healthcare AI Systems. Frontiers in Public Health. 10. 858282–858282. 16 indexed citations
14.
Mishra, Sashikala, et al.. (2022). Machine Learning Styles for Diabetic Retinopathy Detection: A Review and Bibliometric Analysis. Big Data and Cognitive Computing. 6(4). 154–154. 12 indexed citations
15.
Mishra, Sashikala, et al.. (2022). Machine Learning Approach: Consumer Buying Behavior Analysis. 1–10. 4 indexed citations
16.
17.
Mishra, Sashikala, et al.. (2020). Performance assessment of Deep Learning procedures on Malaria dataset. Journal of Robotics and Control (JRC). 2(1). 16 indexed citations
18.
Mishra, Sashikala, Kailash Shaw, & Debahuti Mishra. (2012). A New Meta-heuristic Bat Inspired Classification Approach for Microarray Data. Procedia Technology. 4. 802–806. 83 indexed citations
19.
20.
Majhi, Ritanjali, Sashikala Mishra, Babita Majhi, Ganapati Panda, & Minakhi Rout. (2009). Efficient sales forecasting using PSO based adaptive ARMA model. 1333–1337. 4 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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