Naresh Kumar

482 total citations
18 papers, 348 citations indexed

About

Naresh Kumar is a scholar working on Atmospheric Science, Health, Toxicology and Mutagenesis and Environmental Engineering. According to data from OpenAlex, Naresh Kumar has authored 18 papers receiving a total of 348 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Atmospheric Science, 13 papers in Health, Toxicology and Mutagenesis and 6 papers in Environmental Engineering. Recurrent topics in Naresh Kumar's work include Atmospheric chemistry and aerosols (18 papers), Air Quality and Health Impacts (13 papers) and Air Quality Monitoring and Forecasting (5 papers). Naresh Kumar is often cited by papers focused on Atmospheric chemistry and aerosols (18 papers), Air Quality and Health Impacts (13 papers) and Air Quality Monitoring and Forecasting (5 papers). Naresh Kumar collaborates with scholars based in United States, Austria and South Korea. Naresh Kumar's co-authors include Armistead G. Russell, M. Talat Odman, Eladio Knipping, Greg Yarwood, Rokjin J. Park, Jeremiah Johnson, Younha Kim, Jaein I. Jeong, Jung‐Hun Woo and T.W. Tesche and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Atmospheric Environment and Computers & Chemical Engineering.

In The Last Decade

Naresh Kumar

18 papers receiving 317 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Naresh Kumar United States 11 291 203 135 101 57 18 348
James R. Ouimette United States 8 227 0.8× 175 0.9× 169 1.3× 139 1.4× 38 0.7× 9 337
Dimiter Syrakov Bulgaria 11 217 0.7× 215 1.1× 116 0.9× 95 0.9× 35 0.6× 52 357
Magda Psichoudaki Greece 10 290 1.0× 231 1.1× 97 0.7× 95 0.9× 63 1.1× 11 359
L. T. Molina United States 4 276 0.9× 194 1.0× 150 1.1× 52 0.5× 43 0.8× 4 298
Zhan Zhao United States 11 214 0.7× 146 0.7× 130 1.0× 63 0.6× 36 0.6× 22 282
José B. Nicolas France 5 259 0.9× 247 1.2× 78 0.6× 114 1.1× 67 1.2× 9 297
Jeni Vasilescu Romania 12 292 1.0× 104 0.5× 296 2.2× 70 0.7× 14 0.2× 27 394
Zi-Juan Lan China 8 304 1.0× 251 1.2× 138 1.0× 84 0.8× 39 0.7× 8 329
Soo Ya Bae South Korea 10 299 1.0× 194 1.0× 208 1.5× 32 0.3× 26 0.5× 21 410
Tony Christian Landi Italy 14 376 1.3× 206 1.0× 317 2.3× 93 0.9× 25 0.4× 30 480

Countries citing papers authored by Naresh Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Naresh Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naresh Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Naresh Kumar. A scholar is included among the top collaborators of Naresh Kumar 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 Naresh Kumar. Naresh Kumar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Kumar, Naresh, et al.. (2023). Investigating sensitivity of ozone to emission reductions in the New York City (NYC) metropolitan and downwind areas. Atmospheric Environment. 301. 119675–119675. 8 indexed citations
2.
Kumar, Naresh, et al.. (2023). Using machine learning to improve the estimate of U.S. background ozone. Atmospheric Environment. 316. 120145–120145. 10 indexed citations
3.
Kumar, Naresh, Jeremiah Johnson, Greg Yarwood, et al.. (2022). Contributions of domestic sources to PM2.5 in South Korea. Atmospheric Environment. 287. 119273–119273. 16 indexed citations
4.
Hu, Yongtao, M. Talat Odman, Armistead G. Russell, Naresh Kumar, & Eladio Knipping. (2022). Source apportionment of ozone and fine particulate matter in the United States for 2016 and 2028. Atmospheric Environment. 285. 119226–119226. 8 indexed citations
5.
Kumar, Naresh, Rokjin J. Park, Jaein I. Jeong, et al.. (2021). Contributions of international sources to PM2.5 in South Korea. Atmospheric Environment. 261. 118542–118542. 68 indexed citations
6.
Hu, Yongtao, M. Talat Odman, Armistead G. Russell, Naresh Kumar, & Eladio Knipping. (2021). Biases in air quality models capturing ozone trends at the urban, regional and national scales: Impacts on Relative Response Factors (RRFs). Atmospheric Environment. 266. 118722–118722. 2 indexed citations
7.
Karamchandani, Prakash, D. S. Henn, Greg Yarwood, et al.. (2020). Single source impacts on secondary pollutants using a Lagrangian reactive puff model: Comparison with photochemical grid models. Atmospheric Environment. 237. 117664–117664. 3 indexed citations
8.
Chaudhary, Sudesh & Naresh Kumar. (2017). Qualitative and Quantitative Analysis of Aerosols in Sonepat—A National Capital Region of India. 6(2). 65–75. 2 indexed citations
9.
Sousan, Sinan, et al.. (2009). Use of Surface Measurements and Modis Aerosol Optical Depth for Improved Model Based PM2.5 Prediction in the United States. 2 indexed citations
10.
Pun, Betty K., Christian Seigneur, Krish Vijayaraghavan, et al.. (2006). Modeling regional haze in the BRAVO study using CMAQ‐MADRID: 1. Model evaluation. Journal of Geophysical Research Atmospheres. 111(D6). 23 indexed citations
11.
Strader, Ross, et al.. (1998). Development of gas-phase chemistry, secondary organic aerosol, and aqueous-phase chemistry modules for PM modeling. Final report. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 17 indexed citations
12.
Kumar, Naresh, et al.. (1997). Parallel and distributed application of an urban-to-regional multiscale model. Computers & Chemical Engineering. 21(4). 399–408. 7 indexed citations
13.
Kumar, Naresh & Armistead G. Russell. (1996). Multiscale air quality modeling of the Northeastern United States. Atmospheric Environment. 30(7). 1099–1116. 34 indexed citations
14.
Kumar, Naresh & Armistead G. Russell. (1996). Comparing prognostic and diagnostic meteorological fields and their impacts on photochemical air quality modeling. Atmospheric Environment. 30(12). 1989–2010. 33 indexed citations
15.
Kumar, Naresh & Armistead G. Russell. (1996). Development of a computationally efficient, reactive subgrid‐scale plume model and the impact in the northeastern United States using increasing levels of chemical detail. Journal of Geophysical Research Atmospheres. 101(D11). 16737–16744. 30 indexed citations
16.
Kumar, Naresh, Armistead G. Russell, T.W. Tesche, & Dennis E. McNally. (1994). Evaluation of CALGRID using two different ozone episodes and comparison to UAM results. Atmospheric Environment. 28(17). 2823–2845. 14 indexed citations
17.
Kumar, Naresh, M. Talat Odman, & Armistead G. Russell. (1994). Multiscale air quality modeling: Application to southern California. Journal of Geophysical Research Atmospheres. 99(D3). 5385–5397. 39 indexed citations
18.
Odman, M. Talat, Naresh Kumar, & Armistead G. Russell. (1992). A comparison of fast chemical kinetic solvers for air quality modeling. Atmospheric Environment Part A General Topics. 26(9). 1783–1789. 32 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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2026