Tarun Kumar

1.0k citations
56 papers · 596 · h-index 13

Impact in

Papers in

Tarun Kumar

53 papers receiving 576 citations

Peers

Tarun Kumar
Comparison fields: 5 of 101
  • Industrial and Manufacturing Engineering 289
  • Environmental Engineering 147
  • Health Informatics 11
  • Soil Science 65
  • Pollution 71
Replace Renfu Jia with:
Renfu Jia China
Harshit Khandelwal India
Amit Vishwakarma India
Tuoyuan Cheng Saudi Arabia
Wu Ling China
Kunsen Lin China
Ruoxi Shang United States
Amir Mohajeri United States
Afshin Khoshand Iran
Gi-Wook Cha South Korea
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Citations per field
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Citations per year

Countries citing papers authored by Tarun Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Tarun Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201378
2 201468
3 202154
4 201544
5 201433
6 201433
7 202226
8 201425
9 202225
10 202321
11 201320
12 201819
13 202317
14 201811
15 202010
16 20189
17 20238
18 20198
19 20167
20 20237

About Tarun Kumar

Tarun Kumar is a scholar working on Industrial and Manufacturing Engineering, Soil Science, Electrical and Electronic Engineering, Environmental Engineering and Cognitive Neuroscience, having authored 56 papers that have together received 596 indexed citations. Recurring topics across this work include Constructed Wetlands for Wastewater Treatment (8 papers), Composting and Vermicomposting Techniques (7 papers), Wastewater Treatment and Reuse (6 papers), COVID-19 diagnosis using AI (4 papers), Child Nutrition and Water Access (3 papers), Tactile and Sensory Interactions (3 papers), Building Energy and Comfort Optimization (3 papers) and AI in cancer detection (3 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (289 citations), Environmental Engineering (147 citations), Health Informatics (11 citations), Soil Science (65 citations) and Pollution (71 citations). Tarun Kumar has collaborated with scholars based in India, United States and Italy. Frequent co-authors include Renu Bhargava, Ankur Rajpal, Sudipti Arora, A. A. Kazmi, Vikas Pruthi, M. Mani, Ravi Srinivasan, A. K. Chopra, Ashok Chopra and Akansha Bhatia. Their work appears in journals such as Ecological Engineering, Water Science & Technology, Applied Soft Computing, Journal of Inorganic and Organometallic Polymers and Materials and Journal of Material Cycles and Waste 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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