Madhujit Deb

36 papers receiving 1.0k citations

Peers

Madhujit Deb
Comparison fields: 5 of 88
  • Fluid Flow and Transfer Processes 632
  • Automotive Engineering 311
  • Biomedical Engineering 678
  • Energy Engineering and Power Technology 37
  • Computational Mechanics 153
Replace Alfredas Rimkus with:
Alfredas Rimkus Lithuania
Probir Kumar Bose India
Mustafa Kemal Balki Türkiye
Antonio Paolo Carlucci Italy
Sumit Roy India
Murat Hoşöz Türkiye
G. Sankaranarayanan India
Van Ga Bui Vietnam
Yasin Şöhret Türkiye
Ákos Bereczky Hungary
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Citations per field
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Alfredas Rimkus · 1×
Citations per year

Countries citing papers authored by Madhujit Deb

Since Specialization
Citations

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

Fields of papers citing papers by Madhujit Deb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020164
2 2015130
3 201378
4 202078
5 202171
6 201559
7 201655
8 201652
9 201441
10 202333
11 201733
12 201430
13 202121
14 202020
15 201920
16 202018
17 202317
18 202017
19 201514
20 201914

About Madhujit Deb

Madhujit Deb is a scholar working on Fluid Flow and Transfer Processes, Biomedical Engineering, Automotive Engineering, Mechanical Engineering and Computational Mechanics, having authored 39 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Combustion Engine Technologies (29 papers), Biodiesel Production and Applications (28 papers), Vehicle emissions and performance (16 papers), Lubricants and Their Additives (7 papers), Heat transfer and supercritical fluids (5 papers), Energy, Environment, and Transportation Policies (4 papers), Catalytic Processes in Materials Science (4 papers) and Heat Transfer Mechanisms (4 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (632 citations), Automotive Engineering (311 citations), Biomedical Engineering (678 citations), Energy Engineering and Power Technology (37 citations) and Computational Mechanics (153 citations). Madhujit Deb has collaborated with scholars based in India, Japan and Uganda. Frequent co-authors include Rahul Banerjee, Suman Dey, Pankaj Kumar Das, Narath Moni Reang, Arindam Majumder, G.R.K. Sastry, P. K. Bose, Probir Kumar Bose, Uttam Kumar Bera and Sumit Roy. Their work appears in journals such as International Journal of Hydrogen Energy, Energy, Energy Sources Part A Recovery Utilization and Environmental Effects, Fuel and Energy Conversion and Management.

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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