T. Arunkumar

5.9k citations
86 papers · 5.1k · h-index 40

Impact in

Papers in

T. Arunkumar

83 papers receiving 4.9k citations

Peers

T. Arunkumar
Comparison fields: 5 of 89
  • Renewable Energy, Sustainability and the Environment 4.1k
  • Water Science and Technology 1.7k
  • Mechanical Engineering 1.1k
  • Artificial Intelligence 843
  • Automotive Engineering 189
Replace Jian Chang with:
Jian Chang Saudi Arabia
Navid Aslfattahi Malaysia
Dan Wei China
Ravi P. Pandey India
Elena Guillén-Burrieza Spain
Mehrzad Feilizadeh Iran
Vahid Madadi Avargani Iran
Nadia Zari Morocco
T. Arunkumar relative to Jian Chang Saudi Arabia Jian Chang's profile →
Citations per field
00.5×10×20×30×42.6×
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Citations per year

Countries citing papers authored by T. Arunkumar

Since Specialization
Citations

This map shows the geographic impact of T. Arunkumar'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 T. Arunkumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Arunkumar more than expected).

Fields of papers citing papers by T. Arunkumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011260
2 2007216
3 2013212
4 2020195
5 2016188
6 2017184
7 2015170
8 2012157
9 2018144
10 2017139
11 2017139
12 2018131
13 2012116
14 2016114
15 2014109
16 2017108
17 2018101
18 2019100
19 200599
20 201896

About T. Arunkumar

T. Arunkumar is a scholar working on Renewable Energy, Sustainability and the Environment, Water Science and Technology, Artificial Intelligence, Mechanical Engineering and Electrical and Electronic Engineering, having authored 86 papers that have together received 5.1k indexed citations. Recurring topics across this work include Solar-Powered Water Purification Methods (64 papers), Solar Thermal and Photovoltaic Systems (56 papers), Membrane Separation Technologies (25 papers), Solar Radiation and Photovoltaics (18 papers), Phase Change Materials Research (10 papers), Advancements in Battery Materials (8 papers), Advanced Battery Materials and Technologies (7 papers) and Photovoltaic System Optimization Techniques (4 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (4.1k citations), Water Science and Technology (1.7k citations), Mechanical Engineering (1.1k citations), Artificial Intelligence (843 citations) and Automotive Engineering (189 citations). T. Arunkumar has collaborated with scholars based in India, United States and Egypt. Frequent co-authors include David Denkenberger, Ravishankar Sathyamurthy, A.E. Kabeel, Amimul Ahsan, Arumugam Manthiram, R. Jayaprakash, R. Velraj, S.A. El‐Agouz, Sang Joon Lee and A. Muthu Manokar. Their work appears in journals such as Desalination, Renewable and Sustainable Energy Reviews, Environmental Science and Pollution Research, International Journal of Ambient Energy and Renewable Energy.

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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