Senthilkumar Mohan

4.8k citations
69 papers · 3.0k indexed · 2 hit papers · h-index 29

Impact in

Papers in

    • AI in cancer detection 5
    • Anomaly Detection Techniques and Applications 4
    • Cloud Computing and Resource Management 5
    • Blockchain Technology Applications and Security 5

Senthilkumar Mohan

68 papers receiving 2.8k citations

Hit Papers

Artificial neural networks training algorithm integrating invasive weed optimization with differential evolutionary model 2021 · 219 citations
2190+2+4Years since publication2505007501000

Peers

Senthilkumar Mohan
Comparison fields: 5 of 158
  • Health Information Management 1.0k
  • Medical Laboratory Technology 171
  • Health Informatics 65
  • Artificial Intelligence 1.2k
  • Information Systems 573
Replace Amin Ul Haq with:
Amin Ul Haq China
Aditya Khamparia India
Rahul Katarya India
Muhammad Umer Pakistan
Rachna Jain India
Ibomoiye Domor Mienye South Africa
Usman Qamar Pakistan
Raees Ahmad Khan India
Sukhpal Singh Gill United Kingdom
Rajesh Kaluri India
Senthilkumar Mohan relative to Amin Ul Haq China Amin Ul Haq's profile →
Citations per field
00.5×10×15×18.3×
Amin Ul Haq · 1×
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 69 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 →
20191067
2
Artificial neural networks training algorithm integrating invasive weed optimization with differential evolutionary model
Hit paper breakdown →
2021219
3 2020102
4 202084
5 202268
6 202164
7 202063
8 202062
9 201961
10 202158
11 202257
12 202056
13 202355
14 202155
15 202153
16 201744
17 202143
18 202243
19 202340
20 202339

About Senthilkumar Mohan

Senthilkumar Mohan is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition, having authored 69 papers that have together received 3.0k indexed citations. Recurring topics across this work include COVID-19 diagnosis using AI (9 papers), IoT and Edge/Fog Computing (6 papers), Cloud Computing and Resource Management (5 papers), AI in cancer detection (5 papers), Artificial Intelligence in Healthcare (5 papers), Blockchain Technology Applications and Security (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Anomaly Detection Techniques and Applications (4 papers). The work is most often cited by research in Health Information Management (1.0k citations), Medical Laboratory Technology (171 citations), Health Informatics (65 citations), Artificial Intelligence (1.2k citations) and Information Systems (573 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, Vedika Gupta, Jafar A. Alzubi, Mohamadtaghi Rahimi, Mehdi Gheisari and Aaqif Afzaal Abbasi. Their work appears in journals such as Electronics, Computers & Electrical Engineering, Computer Communications, IEEE Access and Sustainable Energy Technologies and Assessments.

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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