Sachikanta Dash

424 total citations
31 papers, 132 citations indexed

About

Sachikanta Dash is a scholar working on Health Information Management, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Sachikanta Dash has authored 31 papers receiving a total of 132 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Health Information Management, 7 papers in Computer Vision and Pattern Recognition and 7 papers in Artificial Intelligence. Recurrent topics in Sachikanta Dash's work include Artificial Intelligence in Healthcare (9 papers), Chaos-based Image/Signal Encryption (4 papers) and AI in cancer detection (3 papers). Sachikanta Dash is often cited by papers focused on Artificial Intelligence in Healthcare (9 papers), Chaos-based Image/Signal Encryption (4 papers) and AI in cancer detection (3 papers). Sachikanta Dash collaborates with scholars based in India, China and United Arab Emirates. Sachikanta Dash's co-authors include Sasmita Padhy, K. Abhimanyu Kumar Patro, Sidheswar Routray, Prince Priya Malla, Hesham Alhumyani, Naween Kumar, Yinan Qi, Shailendra Pratap Singh, Sandeep Kumar and Anand Nayyar and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Multimedia Tools and Applications.

In The Last Decade

Sachikanta Dash

20 papers receiving 128 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sachikanta Dash India 6 39 35 25 22 21 31 132
Lokesh Kumar Sharma India 6 124 3.2× 14 0.4× 111 4.4× 31 1.4× 6 0.3× 14 203
Debasish Swapnesh Kumar Nayak India 9 9 0.2× 26 0.7× 63 2.5× 5 0.2× 18 0.9× 37 169
Sultan M. Alanazi Saudi Arabia 7 16 0.4× 21 0.6× 98 3.9× 3 0.1× 115 5.5× 17 206
Benoît Fraikin Canada 4 24 0.6× 3 0.1× 28 1.1× 24 1.1× 10 58
Mahesh Motwani India 6 24 0.6× 3 0.1× 59 2.4× 1 0.0× 29 1.4× 19 121
Yiren Zhao United Kingdom 6 77 2.0× 1 0.0× 70 2.8× 8 0.4× 8 0.4× 22 138
Linna Zhou China 8 150 3.8× 49 2.0× 7 0.3× 14 0.7× 40 206
Guillaume Cleuziou France 6 27 0.7× 2 0.1× 84 3.4× 8 0.4× 11 101
Lingyuan Meng China 5 45 1.2× 2 0.1× 136 5.4× 9 0.4× 10 163
Joanna Jędrzejowicz Poland 6 8 0.2× 5 0.1× 83 3.3× 11 0.5× 28 113

Countries citing papers authored by Sachikanta Dash

Since Specialization
Citations

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

Fields of papers citing papers by Sachikanta Dash

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sachikanta Dash

This figure shows the co-authorship network connecting the top 25 collaborators of Sachikanta Dash. A scholar is included among the top collaborators of Sachikanta 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 Sachikanta Dash. Sachikanta 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, Sachikanta, et al.. (2025). Enhancing Diabetes Prediction using Hybrid Ensemble Approach. 1–6.
2.
Padhy, Sasmita, et al.. (2025). Temporal integration of ResNet features with LSTM for enhanced skin lesion classification. Results in Engineering. 25. 104201–104201. 6 indexed citations
3.
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Dash, Sachikanta, et al.. (2024). Diabetic Foot Ulcer Diagnosis Through Deep Learning Model. 1194–1199.
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7.
Dash, Sachikanta, et al.. (2024). Optimized Deep Belief Networks Based Categorization of Type 2 Diabetes using Tabu Search Optimization. International Journal of Advanced Computer Science and Applications. 15(3). 4 indexed citations
8.
9.
Mishra, Soumya Ranjan, Sachikanta Dash, Sasmita Padhy, Naween Kumar, & Yajnaseni Dash. (2024). Integrating Multi-Omics Data for Advanced Diabetes Prediction and Understanding. 1447–1453. 1 indexed citations
10.
Dash, Sachikanta, et al.. (2023). An efficient Intra-Inter pixel encryption scheme to secure healthcare images for an IoT environment. Expert Systems with Applications. 231. 120622–120622. 24 indexed citations
11.
Padhy, Sasmita, et al.. (2023). A hybrid crypto-compression model for secure brain mri image transmission. Multimedia Tools and Applications. 83(8). 24361–24381. 8 indexed citations
12.
Padhy, Sasmita, et al.. (2023). AgriSecure: A Fog Computing-Based Security Framework for Agriculture 4.0 via Blockchain. Processes. 11(3). 757–757. 34 indexed citations
13.
Dash, Sachikanta, et al.. (2023). Identification of Polyp from Colonoscopy Images by Deep Belief Network based Polyp Detector Integration Model. EAI Endorsed Transactions on Pervasive Health and Technology. 9. 2 indexed citations
14.
Padhy, Sasmita, et al.. (2023). A Case Study on the Multi-Hopping Performance of IoT Network Used for Farm Monitoring. Automatic Control and Computer Sciences. 57(1). 70–80. 2 indexed citations
15.
Bahadure, Nilesh Bhaskarrao, et al.. (2023). Rare Diseases Severity Prediction System Using a Machine Learning-Based Technique. 1–6. 3 indexed citations
16.
Dash, Sachikanta, et al.. (2022). CNN Based Handwritten Odia Character Recognition. 267–273.
17.
Mohanty, Subhasish, et al.. (2022). Generating Higher Order Mutants using PSO with Levy Flight(LFPSO) Algorithm. 75–79. 2 indexed citations
18.
Dash, Sachikanta, et al.. (2022). Complex Odia Handwritten Character Recognition using Deep Learning Model. 479–485. 2 indexed citations
19.
Dash, Sachikanta, et al.. (2022). Symptoms Prediction of Tuberculosis using Soft Computing Technique. 343–347. 5 indexed citations
20.
Dash, Sachikanta, et al.. (2022). A Simple and Fast Medical Image Encryption System Using Chaos-Based Shifting Techniques. International Journal of Information Security and Privacy. 16(1). 1–24. 15 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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