Senthilkumar Mohan

4.7k citations
55 papers · 3.2k · 2 hit papers · h-index 26

Impact in

Papers in

Senthilkumar Mohan

52 papers receiving 3k citations

Senthilkumar Mohan's Hit Papers

Artificial neural networks training algorithm integrating invasive weed optimization with differential evolutionary model 2021 · 261 citations
2610+2+4Years since publication4008001.2k

Peers

Senthilkumar Mohan
Comparison fields: 5 of 133
  • Health Information Management 1.2k
  • Artificial Intelligence 544
  • Information Systems 377
  • Health Informatics 31
  • Computer Networks and Communications 280
Replace Muhammad Irfan Uddin with:
Muhammad Irfan Uddin Pakistan
Furqan Rustam South Korea
Ivan Izonin Ukraine
Saleem Ullah Pakistan
Atta Rahman Saudi Arabia
Muhammad Umer Pakistan
Faisal Saeed Saudi Arabia
Shanmuganathan Vimal India
Ramesh Chandra Poonia India
Sonali Agarwal India
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Citations per field
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Citations per year

Countries citing papers authored by Senthilkumar Mohan

Since Specialization
Citations

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

Fields of papers citing papers by Senthilkumar Mohan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Senthilkumar Mohan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Senthilkumar Mohan Line = papers co-authored together Senthilkumar Mohan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Effective Heart Disease Prediction Using Hybrid Machine Learning Techniques
Hit paper breakdown →
20191273
2
Artificial neural networks training algorithm integrating invasive weed optimization with differential evolutionary model
Hit paper breakdown →
2021261
3 2020121
4 2020102
5 202279
6 202277
7 202377
8 202176
9 202074
10 202066
11 201965
12 202162
13 202161
14 202161
15 202152
16 202252
17 202348
18 202347
19 202345
20 202242

About Senthilkumar Mohan

Senthilkumar Mohan is a scholar working on Health Information Management, Artificial Intelligence, Information Systems, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 55 papers that have together received 3.2k indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare (9 papers), COVID-19 diagnosis using AI (5 papers), Medical Image Segmentation Techniques (3 papers), AI in cancer detection (3 papers), Metaheuristic Optimization Algorithms Research (3 papers), Misinformation and Its Impacts (3 papers), IoT and Edge/Fog Computing (3 papers) and Cryptography and Data Security (2 papers). The work is most often cited by research in Health Information Management (1.2k citations), Artificial Intelligence (544 citations), Information Systems (377 citations), Health Informatics (31 citations) and Computer Networks and Communications (280 citations). Senthilkumar Mohan has collaborated with scholars based in India, Malaysia and Cyprus. Frequent co-authors include Gautam Srivastava, Chandrasegar Thirumalai, Ali Ahmadian, Celestine Iwendi, A John, Ali Akbar Movassagh, Aaqif Afzaal Abbasi, Mehdi Gheisari, Mohamadtaghi Rahimi and Vedika Gupta. Their work appears in journals such as Electronics, Computers & Electrical Engineering, IEEE Access, Computer Communications and Sustainable Computing Informatics and Systems.

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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