Sunil Kumar Gulia

52 papers receiving 1.2k citations

Peers

Sunil Kumar Gulia
Comparison fields: 5 of 110
  • Health, Toxicology and Mutagenesis 873
  • Environmental Engineering 578
  • Automotive Engineering 280
  • Atmospheric Science 352
  • Global and Planetary Change 317
Replace Taciana Toledo de Almeida Albuquerque with:
Taciana Toledo de Almeida Albuquerque Brazil
Néstor Y. Rojas Colombia
Thiago Nogueira Brazil
Kamal Jyoti Maji India
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Leila Droprinchinski Martins Brazil
Vorne Luigi Gianelle Italy
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Citations per year

Countries citing papers authored by Sunil Kumar Gulia

Since Specialization
Citations

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

Fields of papers citing papers by Sunil Kumar Gulia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014333
2 2017121
3 201891
4 202056
5 202147
6 202045
7 201945
8 201634
9 201734
10 201533
11 202031
12
Performance evaluation of CALPUFF and AERMOD dispersion models for air quality assessment of an industrial complex
201528
13 201727
14 201926
15 202125
16 202123
17 201721
18 202317
19 202416
20 202115

About Sunil Kumar Gulia

Sunil Kumar Gulia is a scholar working on Health, Toxicology and Mutagenesis, Environmental Engineering, Automotive Engineering, Atmospheric Science and Global and Planetary Change, having authored 61 papers that have together received 1.3k indexed citations. Recurring topics across this work include Air Quality and Health Impacts (38 papers), Air Quality Monitoring and Forecasting (23 papers), Atmospheric chemistry and aerosols (15 papers), Vehicle emissions and performance (15 papers), COVID-19 impact on air quality (10 papers), Noise Effects and Management (5 papers), Wind and Air Flow Studies (4 papers) and Dental Radiography and Imaging (3 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (873 citations), Environmental Engineering (578 citations), Automotive Engineering (280 citations), Atmospheric Science (352 citations) and Global and Planetary Change (317 citations). Sunil Kumar Gulia has collaborated with scholars based in India, United Kingdom and Saudi Arabia. Frequent co-authors include Mukesh V. Khare, S.M. Shiva Nagendra, Isha Khanna, Sanjeev Goyal, Rakesh Kumar, Prashant Kumar, Roy M. Harrison, S. M. Shiva Nagendra, Hemant Bherwani and Satinder Kaur. Their work appears in journals such as Atmospheric Environment, Water Air & Soil Pollution, Atmospheric Pollution Research, Transportation Research Part D Transport and Environment and The Science of The Total Environment.

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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