M. Gopal

5.2k citations
187 papers · 4.1k · 1 hit paper · h-index 35

Impact in

Papers in

M. Gopal

177 papers receiving 3.9k citations

M. Gopal's Hit Papers

Least squares twin support vector machines for pattern classification 2008 · 507 citations
5070+6+12Years since publication100200300400500

Peers

M. Gopal
Comparison fields: 5 of 149
  • Metals and Alloys 134
  • Energy Engineering and Power Technology 145
  • Computer Vision and Pattern Recognition 762
  • Mechanical Engineering 1.4k
  • Artificial Intelligence 892
Replace Qing Li with:
Qing Li China
Pak Kin Wong Macao
Ahmed N. Abdalla China
Yi Jin China
Vivek Patel India
Jifu Zhang China
Xue Wang China
Chao Liu China
Lin Hu China
M. Gopal relative to Qing Li China Qing Li's profile →
Citations per field
00.5×7.3×
Qing Li · 1×
Citations per year

Countries citing papers authored by M. Gopal

Since Specialization
Citations

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

Fields of papers citing papers by M. Gopal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 187 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Least squares twin support vector machines for pattern classification
Hit paper breakdown →
2008507
2 2004330
3 2004164
4 2008145
5 1976119
6 2006111
7 2000106
8 199587
9 200567
10 200467
11 201065
12 201056
13 200654
14 200853
15 200252
16 201952
17 199952
18 200652
19 201248
20 200945

About M. Gopal

M. Gopal is a scholar working on Mechanical Engineering, Control and Systems Engineering, Artificial Intelligence, Computer Vision and Pattern Recognition and Biomedical Engineering, having authored 187 papers that have together received 4.1k indexed citations. Recurring topics across this work include Advanced Control Systems Optimization (19 papers), Refrigeration and Air Conditioning Technologies (15 papers), Hydrogen Storage and Materials (14 papers), Advanced machining processes and optimization (14 papers), Image Retrieval and Classification Techniques (14 papers), Fuzzy Logic and Control Systems (13 papers), Adaptive Control of Nonlinear Systems (12 papers) and Neural Networks and Applications (12 papers). The work is most often cited by research in Metals and Alloys (134 citations), Energy Engineering and Power Technology (145 citations), Computer Vision and Pattern Recognition (762 citations), Mechanical Engineering (1.4k citations) and Artificial Intelligence (892 citations). M. Gopal has collaborated with scholars based in India, Ethiopia and United States. Frequent co-authors include Manoj Kumar, Souvik Bhattacharyya, Jahar Sarkar, Rajen B. Bhatt, W. P. Jepson, Manish Kumar, K. Kiran Kumar, Santanu Chaudhury, S. Srinivasa Murthy and Vimal Singh. Their work appears in journals such as CORROSION, International Journal of Refrigeration, International Journal of Hydrogen Energy, Journal of Energy Resources Technology and Applied Thermal Engineering.

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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