Seshathiri Dhanasekaran

886 total citations
32 papers, 475 citations indexed

About

Seshathiri Dhanasekaran is a scholar working on Artificial Intelligence, Mechanical Engineering and Control and Systems Engineering. According to data from OpenAlex, Seshathiri Dhanasekaran has authored 32 papers receiving a total of 475 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 6 papers in Mechanical Engineering and 5 papers in Control and Systems Engineering. Recurrent topics in Seshathiri Dhanasekaran's work include AI in cancer detection (4 papers), Nanofluid Flow and Heat Transfer (3 papers) and Natural Fiber Reinforced Composites (3 papers). Seshathiri Dhanasekaran is often cited by papers focused on AI in cancer detection (4 papers), Nanofluid Flow and Heat Transfer (3 papers) and Natural Fiber Reinforced Composites (3 papers). Seshathiri Dhanasekaran collaborates with scholars based in Norway, India and Ethiopia. Seshathiri Dhanasekaran's co-authors include Prabhu Paramasivam, L. Natrayan, Sathiyabhama Balasubramaniam, Virendra Kumar, G. Velmurugan, Lalta Prasad, Raviteja Surakasi, S. Angalaeswari, Naveen Venkatesh Sridharan and V. Sugumaran and has published in prestigious journals such as Scientific Reports, Fuel and Journal of Alloys and Compounds.

In The Last Decade

Seshathiri Dhanasekaran

31 papers receiving 459 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Seshathiri Dhanasekaran Norway 14 88 87 68 67 64 32 475
Sivakumar Sivanesan Malaysia 12 76 0.9× 136 1.6× 27 0.4× 94 1.4× 46 0.7× 51 461
Zainuddin Nawawi Indonesia 13 235 2.7× 39 0.4× 28 0.4× 72 1.1× 39 0.6× 112 514
Yidong Chen China 15 139 1.6× 97 1.1× 64 0.9× 195 2.9× 28 0.4× 36 722
E. Fantin Irudaya Raj India 15 125 1.4× 205 2.4× 30 0.4× 44 0.7× 197 3.1× 52 565
S. Angalaeswari India 12 233 2.6× 59 0.7× 27 0.4× 52 0.8× 68 1.1× 37 505
Ruby Mishra India 12 36 0.4× 108 1.2× 25 0.4× 40 0.6× 14 0.2× 68 409
M. Belsam Jeba Ananth India 11 136 1.5× 179 2.1× 43 0.6× 43 0.6× 6 0.1× 27 386
Yiming Han China 11 232 2.6× 22 0.3× 73 1.1× 29 0.4× 15 0.2× 68 461
Slamet Wahyudi Indonesia 12 60 0.7× 99 1.1× 28 0.4× 22 0.3× 17 0.3× 100 435

Countries citing papers authored by Seshathiri Dhanasekaran

Since Specialization
Citations

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

Fields of papers citing papers by Seshathiri Dhanasekaran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seshathiri Dhanasekaran

This figure shows the co-authorship network connecting the top 25 collaborators of Seshathiri Dhanasekaran. A scholar is included among the top collaborators of Seshathiri Dhanasekaran 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 Seshathiri Dhanasekaran. Seshathiri Dhanasekaran 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.
Sekhar, Y. Raja, K.V. Sharma, Praveen Kumar Kanti, et al.. (2025). Solar flat plate collectors with internally grooved absorber tubes for enhanced efficiency: Application of eXplainable artificial intelligence using cooperative game theory-based Shapley values. Case Studies in Thermal Engineering. 68. 105912–105912. 4 indexed citations
2.
Yadav, Virendra Kumar, Seshathiri Dhanasekaran, Nisha Choudhary, et al.. (2025). Recent advances in nanotechnology for Parkinson’s disease: diagnosis, treatment, and future perspectives. Frontiers in Medicine. 12. 1535682–1535682. 11 indexed citations
3.
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Dhanasekaran, Seshathiri, et al.. (2024). Exploring the Relationship Between Academic Science and Economics Through Bio-fuel Research: A Scientometric Analysis. Indian Journal of Information Sources and Services. 14(1). 85–92. 2 indexed citations
5.
Balasubramaniam, Sathiyabhama, et al.. (2024). An Improved Long Short-Term Memory Algorithm for Cardiovascular Disease Prediction. Diagnostics. 14(3). 239–239. 9 indexed citations
6.
Dhanasekaran, Seshathiri, et al.. (2024). Enhancing Medical Image Quality Using Fractional Order Denoising Integrated with Transfer Learning. Fractal and Fractional. 8(9). 511–511. 4 indexed citations
7.
Dhanasekaran, Seshathiri, et al.. (2024). Concatenated Modified LeNet Approach for Classifying Pneumonia Images. Journal of Personalized Medicine. 14(3). 328–328. 7 indexed citations
8.
Balasubramaniam, Sathiyabhama, et al.. (2024). Revolutionizing Breast Cancer Diagnosis: A Concatenated Precision through Transfer Learning in Histopathological Data Analysis. Diagnostics. 14(4). 422–422. 14 indexed citations
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Kanti, Praveen Kumar, Prabhu Paramasivam, V. Vicki Wanatasanappan, Seshathiri Dhanasekaran, & Prabhakar Sharma. (2024). Experimental and explainable machine learning approach on thermal conductivity and viscosity of water based graphene oxide based mono and hybrid nanofluids. Scientific Reports. 14(1). 30967–30967. 10 indexed citations
11.
Sekar, Sankar, Seshathiri Dhanasekaran, R. Nirmala, et al.. (2024). Recent advancements in MXene with two-dimensional transition metal chalcogenides/oxides nanocomposites for supercapacitor application – A topical review. Journal of Alloys and Compounds. 978. 173481–173481. 33 indexed citations
12.
Balasubramaniam, Sathiyabhama, et al.. (2023). A Modified LeNet CNN for Breast Cancer Diagnosis in Ultrasound Images. Diagnostics. 13(17). 2746–2746. 43 indexed citations
13.
Ghosh, Goutam, et al.. (2023). Selection of Response Reduction Factor Considering Resilience Aspect. Buildings. 13(3). 626–626. 12 indexed citations
14.
Sridharan, Naveen Venkatesh, et al.. (2023). Transfer Learning Based Fault Detection for Suspension System Using Vibrational Analysis and Radar Plots. Machines. 11(8). 778–778. 23 indexed citations
15.
Natrayan, L., Raviteja Surakasi, Prabhu Paramasivam, et al.. (2023). Statistical experiment analysis of wear and mechanical behaviour of abaca/sisal fiber-based hybrid composites under liquid nitrogen environment. Frontiers in Materials. 10. 13 indexed citations
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Natrayan, L., G. Velmurugan, Prabhu Paramasivam, & Seshathiri Dhanasekaran. (2022). Influence of Biosynthesized Nanoparticles Addition and Fibre Content on the Mechanical and Moisture Absorption Behaviour of Natural Fibre Composite. Applied Sciences. 12(24). 13030–13030. 25 indexed citations
19.
Arun, S. L., et al.. (2022). Framework of Transactive Energy Market Strategies for Lucrative Peer-to-Peer Energy Transactions. Energies. 16(1). 6–6. 11 indexed citations
20.
Singh, Pradeep Kumar, et al.. (2022). Utilizing Alike Neighbor Influenced Similarity Metric for Efficient Prediction in Collaborative Filter-Approach-Based Recommendation System. Applied Sciences. 12(22). 11686–11686. 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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