S. Sureshkumar

456 citations
35 papers · 324 · h-index 13

Impact in

Papers in

S. Sureshkumar

33 papers receiving 309 citations

Peers

S. Sureshkumar
Comparison fields: 5 of 56
  • Computational Mechanics 160
  • Animal Science and Zoology 60
  • Biomedical Engineering 192
  • Aquatic Science 23
  • Fluid Flow and Transfer Processes 19
Replace Shuaishuai Wu with:
Shuaishuai Wu China
H.M. Vollebregt Netherlands
Xiaodan Wang China
MA Alim Bangladesh
Dazhang Yang China
Albert Baars Germany
Majid Fooladi Iran
Libor Severa Czechia
R.G. MORGAN United States
Changli Hu China
S. Sureshkumar relative to Shuaishuai Wu China Shuaishuai Wu's profile →
Citations per field
00.5×7.7×
Shuaishuai Wu · 1×
Citations per year

Countries citing papers authored by S. Sureshkumar

Since Specialization
Citations

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

Fields of papers citing papers by S. Sureshkumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200743
2 202228
3 202125
4 202023
5 201019
6 201216
7 201015
8 202314
9 201614
10 200813
11 202013
12 201613
13 201913
14 202211
15 201810
16 20178
17 20217
18 20217
19 20175
20 20224

About S. Sureshkumar

S. Sureshkumar is a scholar working on Biomedical Engineering, Computational Mechanics, Mechanical Engineering, Animal Science and Zoology and Small Animals, having authored 35 papers that have together received 324 indexed citations. Recurring topics across this work include Nanofluid Flow and Heat Transfer (20 papers), Heat Transfer Mechanisms (11 papers), Fluid Dynamics and Turbulent Flows (10 papers), Animal Nutrition and Physiology (7 papers), Heat and Mass Transfer in Porous Media (5 papers), Heat Transfer and Optimization (4 papers), Fluid Dynamics and Thin Films (4 papers) and Gut microbiota and health (2 papers). The work is most often cited by research in Computational Mechanics (160 citations), Animal Science and Zoology (60 citations), Biomedical Engineering (192 citations), Aquatic Science (23 citations) and Fluid Flow and Transfer Processes (19 citations). S. Sureshkumar has collaborated with scholars based in India, South Korea and United Arab Emirates. Frequent co-authors include I. S. Shivakumara, M. Muthtamilselvan, In Ho Kim, Jae Hong Park, Sungbo Cho, N. Devaraju, I. S. Shivakumara, M. S. Malashetty, Ali J. Chamkha and Jinho Lee. Their work appears in journals such as Animals, Journal of Thermal Analysis and Calorimetry, Journal of Geophysics and Engineering, International Journal of Ambient Energy and International Journal of Developmental Neuroscience.

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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