Mukesh Khare

12.8k total citations
145 papers, 3.5k citations indexed

About

Mukesh Khare is a scholar working on Health, Toxicology and Mutagenesis, Environmental Engineering and Automotive Engineering. According to data from OpenAlex, Mukesh Khare has authored 145 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 84 papers in Health, Toxicology and Mutagenesis, 69 papers in Environmental Engineering and 42 papers in Automotive Engineering. Recurrent topics in Mukesh Khare's work include Air Quality and Health Impacts (84 papers), Air Quality Monitoring and Forecasting (59 papers) and Vehicle emissions and performance (42 papers). Mukesh Khare is often cited by papers focused on Air Quality and Health Impacts (84 papers), Air Quality Monitoring and Forecasting (59 papers) and Vehicle emissions and performance (42 papers). Mukesh Khare collaborates with scholars based in India, United States and United Kingdom. Mukesh Khare's co-authors include S.M. Shiva Nagendra, Sunil Gulia, Prateek Sharma, Radha Goyal, Prashant Kumar, Isha Khanna, Kafeel Ahmad, K. K. Chaudhry, Sharad Gokhale and Komal Shukla and has published in prestigious journals such as The Science of The Total Environment, Environmental Pollution and Chemosphere.

In The Last Decade

Mukesh Khare

135 papers receiving 3.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mukesh Khare India 34 2.1k 1.7k 749 713 587 145 3.5k
F.G. Martins Portugal 37 1.6k 0.8× 1.7k 1.0× 441 0.6× 623 0.9× 312 0.5× 124 4.8k
E.R. Jayaratne Australia 27 1.7k 0.8× 821 0.5× 932 1.2× 998 1.4× 793 1.4× 77 3.1k
K. Max Zhang United States 41 3.0k 1.4× 1.7k 1.0× 2.3k 3.0× 1.5k 2.1× 536 0.9× 121 5.2k
James Tate United Kingdom 27 1.4k 0.7× 805 0.5× 1.4k 1.9× 389 0.5× 214 0.4× 74 2.9k
David M. Broday Israel 36 2.5k 1.2× 1.8k 1.1× 509 0.7× 1.5k 2.1× 1.1k 1.9× 122 4.4k
Tareq Hussein Finland 42 3.9k 1.8× 2.0k 1.2× 1.1k 1.5× 2.4k 3.4× 1.3k 2.1× 180 5.4k
Rex Britter United Kingdom 33 1.5k 0.7× 2.2k 1.3× 669 0.9× 699 1.0× 358 0.6× 54 3.5k
Kirsten Koehler United States 35 2.1k 1.0× 1.3k 0.8× 461 0.6× 1.2k 1.7× 978 1.7× 123 4.0k
Michael Hannigan United States 40 3.4k 1.6× 1.8k 1.1× 827 1.1× 2.2k 3.1× 769 1.3× 130 5.2k
Rafael Borge Spain 33 2.0k 1.0× 1.3k 0.7× 852 1.1× 1.3k 1.8× 596 1.0× 95 2.9k

Countries citing papers authored by Mukesh Khare

Since Specialization
Citations

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

Fields of papers citing papers by Mukesh Khare

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mukesh Khare

This figure shows the co-authorship network connecting the top 25 collaborators of Mukesh Khare. A scholar is included among the top collaborators of Mukesh Khare based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mukesh Khare. Mukesh Khare is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Sharma, Monika, Mukesh Khare, & Rajeev Kumar Mishra. (2025). Indoor particle number concentration measurements across different income group households in urban region. Urban Climate. 59. 102329–102329. 4 indexed citations
2.
Srivastava, Deepchandra, Mohammed S. Alam, Leigh R. Crilley, et al.. (2025). The influence of local and regional sources on concentrations of fine particulate matter in Delhi. Atmospheric Pollution Research. 16(7). 102476–102476.
3.
Singh, Ajit, Francis D. Pope, Bhim Singh, et al.. (2024). Evaluating alternative technologies to diesel generation in India using multi-criteria decision analysis. 9. 100133–100133.
4.
Mishra, Sumit Kumar, Bhanu Pratap Singh, Mukesh Khare, et al.. (2024). Insights into chemical aging of urban aerosols over Delhi, India. Atmospheric Environment X. 24. 100296–100296. 1 indexed citations
5.
Kumar, Anand, et al.. (2024). Field calibration protocol for optical-based air quality sensors in Indian conditions. Materials Today Proceedings. 2 indexed citations
6.
Khare, Mukesh, et al.. (2024). Improving exhaust emission evaluation: An integrated modelling approach for urban road networks in diverse operating environments. Atmospheric Pollution Research. 15(9). 102207–102207. 1 indexed citations
7.
Khare, Mukesh. (2024). Simulation of Traffic Flow under Heterogeneous Traffic Conditions using VISSIM. 10(3). 1 indexed citations
8.
Sharma, Mukesh, Mukesh Khare, & Rajeev Kumar Mishra. (2023). Air quality changes in Delhi due to open waste burning: an accidental fire in Bhalswa landfill. International Journal of Environmental Science and Technology. 21(1). 655–664. 25 indexed citations
9.
Shukla, Komal & Mukesh Khare. (2019). Behavioural Chemistry of ground level ozone formation in heavily polluted environment of Delhi city. AGU Fall Meeting Abstracts. 2019. 1 indexed citations
10.
Bao, R., Kôji Watanabe, Jian Guo, et al.. (2019). Multiple-Vt Solutions in Nanosheet Technology for High Performance and Low Power Applications. 11.2.1–11.2.4. 26 indexed citations
11.
Khanna, Isha, Mukesh Khare, Prashant Gargava, & Anwar Khan. (2018). Effect of PM2.5 chemical constituents on atmospheric visibility impairment. Journal of the Air & Waste Management Association. 68(5). 430–437. 42 indexed citations
12.
Lin, Chung-Hsun, Wilfried Haensch, Phil Oldiges, et al.. (2011). Modeling of width-quantization-induced variations in logic FinFETs for 22nm and beyond. Symposium on VLSI Technology. 16–17. 22 indexed citations
13.
Goyal, Radha & Mukesh Khare. (2010). Indoor Air Quality in Naturally Ventilated Schools. VDM Verlag Dr. Müller eBooks. 1 indexed citations
14.
Goyal, Radha & Mukesh Khare. (2010). Indoor air quality modeling for PM10, PM2.5, and PM1.0 in naturally ventilated classrooms of an urban Indian school building. Environmental Monitoring and Assessment. 176(1-4). 501–516. 64 indexed citations
15.
Nagendra, S. M. Shiva & Mukesh Khare. (2007). Artificial neural network based carbon monoxide persistence models for episodic urban air quality management. Environmental Monitoring and Assessment. 139(1-3). 247–255. 5 indexed citations
16.
Khare, Mukesh & S. M. Shiva Nagendra. (2006). Artificial Neural Networks in Vehicular Pollution Modelling (Studies in Computational Intelligence). Springer eBooks. 4 indexed citations
17.
Khare, Mukesh, et al.. (2005). Performance and emissions of natural gas fueled internal combustion engine: A review. Journal of Scientific & Industrial Research. 64(5). 333–338. 34 indexed citations
18.
Nagendra, S.M. Shiva & Mukesh Khare. (2005). Computational Tools in Episodic Urban Air Quality Management (e-UAQM).. Indian International Conference on Artificial Intelligence. 9(1). 952–969. 1 indexed citations
19.
Nagendra, S.M. Shiva & Mukesh Khare. (2003). Artificial Neural Network Based Vehicular Exhaust Emission Modelling.. Indian International Conference on Artificial Intelligence. 136–148. 1 indexed citations
20.
Khare, Mukesh, et al.. (1996). Simulation of Radiation Effects in MOSFETs. DSpace (IIT Bombay). 2733. 57. 1 indexed citations

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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