Sudarson Jena

408 total citations
38 papers, 246 citations indexed

About

Sudarson Jena is a scholar working on Computer Networks and Communications, Artificial Intelligence and Information Systems. According to data from OpenAlex, Sudarson Jena has authored 38 papers receiving a total of 246 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Networks and Communications, 13 papers in Artificial Intelligence and 9 papers in Information Systems. Recurrent topics in Sudarson Jena's work include Artificial Intelligence in Healthcare (7 papers), Interconnection Networks and Systems (6 papers) and Advanced Clustering Algorithms Research (6 papers). Sudarson Jena is often cited by papers focused on Artificial Intelligence in Healthcare (7 papers), Interconnection Networks and Systems (6 papers) and Advanced Clustering Algorithms Research (6 papers). Sudarson Jena collaborates with scholars based in India and Thailand. Sudarson Jena's co-authors include Kaushik Mishra, Aziz Nanthaamornphong, Soubhagya Kumar Dash, Prabira Kumar Sethy, Santosh Kumar Majhi, Rabindra K. Barik, Sudhansu Shekhar Patra, Priyadarsan Parida, V. Kamakshi Prasad and Santi Kumari Behera and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Wireless Personal Communications.

In The Last Decade

Sudarson Jena

33 papers receiving 226 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sudarson Jena India 7 139 62 48 40 29 38 246
Mohammed Amine Chikh Algeria 10 138 1.0× 60 1.0× 62 1.3× 32 0.8× 36 1.2× 34 279
Shamim Ripon Bangladesh 11 149 1.1× 83 1.3× 38 0.8× 45 1.1× 45 1.6× 37 253
S. Sivasubramanian India 9 107 0.8× 73 1.2× 46 1.0× 85 2.1× 27 0.9× 36 295
Sahar F. Sabbeh Egypt 9 125 0.9× 70 1.1× 41 0.9× 63 1.6× 27 0.9× 27 274
Ahmed Hamza Osman Saudi Arabia 12 324 2.3× 68 1.1× 58 1.2× 41 1.0× 54 1.9× 34 464
Dehai Zhang China 11 163 1.2× 62 1.0× 63 1.3× 34 0.8× 10 0.3× 28 301
Zuhaira Muhammad Zain Saudi Arabia 6 191 1.4× 64 1.0× 38 0.8× 36 0.9× 51 1.8× 18 303
Michael W. Dusenberry United States 6 191 1.4× 47 0.8× 45 0.9× 62 1.6× 51 1.8× 7 289
Thulasi Bikku India 8 115 0.8× 30 0.5× 48 1.0× 27 0.7× 48 1.7× 42 244
Shakil Ahmed Bangladesh 8 137 1.0× 28 0.5× 31 0.6× 21 0.5× 23 0.8× 14 238

Countries citing papers authored by Sudarson Jena

Since Specialization
Citations

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

Fields of papers citing papers by Sudarson Jena

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sudarson Jena

This figure shows the co-authorship network connecting the top 25 collaborators of Sudarson Jena. A scholar is included among the top collaborators of Sudarson Jena 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 Sudarson Jena. Sudarson Jena 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.
Jena, Sudarson, et al.. (2025). ODIRNet: a robust deep neural network for diabetic retinopathy. Engineering Research Express. 7(1). 15285–15285.
2.
Dash, Soubhagya Kumar, et al.. (2025). Ocular Disease Detection Using Fundus Images: A Hybrid Approach of Grad‐CAM and Multiscale Retinex Preprocessing With VGG16 Deep Features and Fine KNN Classification. Applied Computational Intelligence and Soft Computing. 2025(1). 1 indexed citations
3.
Jena, Sudarson, et al.. (2024). Empowering Diabetic Eye Disease Detection: Leveraging Differential Evolution for Optimized Convolution Neural Networks. International Journal of Online and Biomedical Engineering (iJOE). 20(10). 86–100. 1 indexed citations
4.
Dash, Soubhagya Kumar, Sudarson Jena, & Prabira Kumar Sethy. (2024). Deep Learning-Based Classification of Diabetic Retinopathy Severity Using DenseNet201 and SVM with Cubic Kernel. 1–5.
5.
Dash, Soubhagya Kumar, et al.. (2024). Advancements in Deep Learning for Automated Diagnosis of Ophthalmic Diseases: A Comprehensive Review. IEEE Access. 12. 171221–171240. 5 indexed citations
6.
7.
Patra, Sudhansu Shekhar, et al.. (2021). EVMAS: An Energy-aware Virtual Machine Allocation Scheme in Fog Centers. 2021 2nd International Conference for Emerging Technology (INCET). 6. 1–6. 2 indexed citations
8.
Jena, Sudarson, et al.. (2021). Ant Lion Optimization Based Medical Data Classification Using Modified Neuro Fuzzy Classifier. Wireless Personal Communications. 117(2). 1223–1242. 5 indexed citations
9.
Jena, Sudarson, et al.. (2020). Efficient Computing over Mobile Cloud Computing by Probabilistic Unigram Keyword Search. Journal of Advanced Research in Dynamic and Control Systems. 12(6). 290–298. 1 indexed citations
10.
Jena, Sudarson, et al.. (2020). MapReduce framework based big data clustering using fractional integrated sparse fuzzy C means algorithm. IET Image Processing. 14(12). 2719–2727. 17 indexed citations
11.
Jena, Sudarson, et al.. (2019). An Efficient Exchanged Hyper Cube for Parallel and Distributed Network. International Journal of Recent Technology and Engineering (IJRTE). 8(2S10). 821–829. 2 indexed citations
12.
Jena, Sudarson, et al.. (2019). Fractional Fuzzy Clustering and Particle Whale Optimization-Based MapReduce Framework for Big Data Clustering. SHILAP Revista de lepidopterología. 29(1). 1496–1513. 5 indexed citations
13.
Jena, Sudarson, et al.. (2019). Secure Authentication Protocol to Cloud. International Journal of Computer Sciences and Engineering. 7(5). 1551–1557. 1 indexed citations
14.
Jena, Sudarson, et al.. (2018). Correlation based feature selection with clustering for high dimensional data. SHILAP Revista de lepidopterología. 5(3). 542–549. 95 indexed citations
15.
Jena, Sudarson, et al.. (2017). A novel approach using incremental under sampling for data stream mining. 3(1). 1–13. 1 indexed citations
16.
Jena, Sudarson, et al.. (2016). Improved artificial neural network for dimension reduction in medical data classification. 1–6. 5 indexed citations
17.
Jena, Sudarson, et al.. (2016). Efficient Feature Subset Selection Algorithm for High Dimensional Data. International Journal of Electrical and Computer Engineering (IJECE). 6(4). 1880–1880. 19 indexed citations
18.
Jena, Sudarson, et al.. (2016). Efficient Feature Subset Selection Algorithm for High Dimensional Data. International Journal of Electrical and Computer Engineering (IJECE). 6(4). 1880–1880. 15 indexed citations
19.
Jena, Sudarson, et al.. (2015). Web Usage Classification and Clustering Approach for Web Search Personalization. 1. 376–383. 2 indexed citations
20.
Jena, Sudarson, et al.. (2014). A comparative reliability analysis of multicomputer interconnection networks. et85. 1–6. 1 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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