V E Sathishkumar

2.9k citations
110 papers · 1.5k indexed · 2 hit papers · h-index 22

V E Sathishkumar

89 papers receiving 1.4k citations

Hit Papers

Forest fire and smoke detection using deep learning-...133202120262022202450100150200

Peers

V E Sathishkumar
Comparison fields: 5 of 147
  • Transportation 110
  • Safety, Risk, Reliability and Quality 144
  • Analytical Chemistry 119
  • Computer Vision and Pattern Recognition 191
  • Artificial Intelligence 288
Replace Abdellah Chehri with:
Abdellah Chehri Canada
Nitin Goyal India
Umesh Kumar Lilhore India
Michał Jasiński Poland
Fatma M. Talaat Egypt
Nnamdi Nwulu South Africa
Paolo Barsocchi Italy
S. Neelakandan India
Akash Kumar Bhoi India
G. Ramkumar India
V E Sathishkumar relative to Abdellah Chehri Canada Abdellah Chehri's profile →
Citations per field
00.5×3.8×
Abdellah Chehri · 1×
Citations per year

Countries citing papers authored by V E Sathishkumar

Since Specialization
Citations

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

Fields of papers citing papers by V E Sathishkumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by V E Sathishkumar. 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 V E Sathishkumar. The network helps show where V E Sathishkumar may publish in the future.

Co-authorship network

The 25 scholars most cited alongside V E Sathishkumar, 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 V E Sathishkumar Line = papers co-authored together V E Sathishkumar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
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An Energy Consumption Prediction Model for Smart Factory Using Data Mining Algorithms
202012
20 20191

About V E Sathishkumar

V E Sathishkumar is a scholar working on Health Information Management, Transportation, Information Systems, Artificial Intelligence and Signal Processing, having authored 110 papers that have together received 1.5k indexed citations. Recurring topics across this work include Nanofluid Flow and Heat Transfer (8 papers), Heat Transfer Mechanisms (7 papers), Artificial Intelligence in Healthcare (7 papers), Fluid Dynamics and Turbulent Flows (7 papers), Human Mobility and Location-Based Analysis (6 papers), Traffic Prediction and Management Techniques (6 papers), AI in cancer detection (6 papers) and Cloud Data Security Solutions (5 papers). The work is most often cited by research in Transportation (110 citations), Safety, Risk, Reliability and Quality (144 citations), Analytical Chemistry (119 citations), Computer Vision and Pattern Recognition (191 citations) and Artificial Intelligence (288 citations). V E Sathishkumar has collaborated with scholars based in South Korea, India and Malaysia. Frequent co-authors include Yongyun Cho, Jaehyuk Cho, Malliga Subramanian, Jang‐Woo Park, L V Narasimha Prasad, Haftom Baraki Abraha, C. S. Pavan Kumar, N. Krishnamoorthy, Changsun Shin and S. Neelakandan. Their work appears in journals such as Scientific Reports, IEEE Access, Alexandria Engineering Journal, Environmental Research and Electronics.

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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