Sunil Gulia

50 papers receiving 1.2k citations

Peers

Sunil Gulia
Comparison fields: 5 of 111
  • Health, Toxicology and Mutagenesis 861
  • Environmental Engineering 572
  • Automotive Engineering 279
  • Atmospheric Science 350
  • Global and Planetary Change 316
Replace Néstor Y. Rojas with:
Néstor Y. Rojas Colombia
Taciana Toledo de Almeida Albuquerque Brazil
Kamal Jyoti Maji India
Francisco J. Gómez‐Moreno Spain
Héctor Jorquera Chile
Leila Droprinchinski Martins Brazil
Regina Maura de Miranda Brazil
Giovanni Lonati Italy
S. M. Shiva Nagendra India
Sunil Gulia relative to Néstor Y. Rojas Colombia Néstor Y. Rojas's profile →
Citations per field
00.5×1.6×
Néstor Y. Rojas · 1×
Citations per year

Countries citing papers authored by Sunil Gulia

Since Specialization
Citations

This map shows the geographic impact of Sunil 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 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 Gulia more than expected).

Fields of papers citing papers by Sunil Gulia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014329
2 2017119
3 201889
4 202059
5 202147
6 202044
7 201943
8 201533
9 201733
10 201632
11 202032
12
Performance evaluation of CALPUFF and AERMOD dispersion models for air quality assessment of an industrial complex
201528
13 201726
14 201925
15 202125
16 202123
17 201721
18 201516
19 202416
20 202315

About Sunil Gulia

Sunil Gulia is a scholar working on Health, Toxicology and Mutagenesis, Environmental Engineering, Automotive Engineering, Atmospheric Science and Global and Planetary Change, having authored 60 papers that have together received 1.2k indexed citations. Recurring topics across this work include Air Quality and Health Impacts (38 papers), Air Quality Monitoring and Forecasting (23 papers), Vehicle emissions and performance (15 papers), Atmospheric chemistry and aerosols (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 (861 citations), Environmental Engineering (572 citations), Automotive Engineering (279 citations), Atmospheric Science (350 citations) and Global and Planetary Change (316 citations). Sunil Gulia has collaborated with scholars based in India, United Kingdom and Saudi Arabia. Frequent co-authors include Mukesh Khare, S.M. Shiva Nagendra, Isha Khanna, Sanjeev Goyal, Rakesh Kumar, Prashant Kumar, Roy M. Harrison, Hemant Bherwani, S. M. Shiva Nagendra and Satinder Kaur. Their work appears in journals such as Atmospheric Environment, Atmospheric Pollution Research, Aerosol and Air Quality Research, Transportation Research Part D Transport and Environment and Air Quality Atmosphere & Health.

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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