Sandeep Wagh

464 total citations
18 papers, 205 citations indexed

About

Sandeep Wagh is a scholar working on Atmospheric Science, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Sandeep Wagh has authored 18 papers receiving a total of 205 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Atmospheric Science, 15 papers in Global and Planetary Change and 6 papers in Environmental Engineering. Recurrent topics in Sandeep Wagh's work include Atmospheric aerosols and clouds (10 papers), Meteorological Phenomena and Simulations (10 papers) and Atmospheric chemistry and aerosols (8 papers). Sandeep Wagh is often cited by papers focused on Atmospheric aerosols and clouds (10 papers), Meteorological Phenomena and Simulations (10 papers) and Atmospheric chemistry and aerosols (8 papers). Sandeep Wagh collaborates with scholars based in United States, India and Canada. Sandeep Wagh's co-authors include Sachin D. Ghude, Gaurav Govardhan, Ismail Gültepe, Baban Nagare, Harindra J. S. Fernando, Clive E. Dorman, Raghavendra Krishnamurthy, Thara V. Prabha, M. Rajeevan and P. Pradeep Kumar and has published in prestigious journals such as Bulletin of the American Meteorological Society, Quarterly Journal of the Royal Meteorological Society and Boundary-Layer Meteorology.

In The Last Decade

Sandeep Wagh

17 papers receiving 199 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sandeep Wagh United States 9 168 153 74 38 10 18 205
Wangshu Tan China 10 285 1.7× 277 1.8× 51 0.7× 79 2.1× 7 0.7× 28 328
René Estevan Peru 8 220 1.3× 210 1.4× 30 0.4× 29 0.8× 7 0.7× 35 260
Sujung Go United States 10 194 1.2× 184 1.2× 38 0.5× 36 0.9× 19 1.9× 19 235
Hui-Ya Chuang United States 7 196 1.2× 132 0.9× 66 0.9× 82 2.2× 4 0.4× 11 216
Makiko Nakata Japan 10 190 1.1× 197 1.3× 29 0.4× 46 1.2× 7 0.7× 52 243
Athina Argyrouli Greece 8 200 1.2× 204 1.3× 41 0.6× 41 1.1× 9 0.9× 23 236
G. Biavati Germany 5 192 1.1× 189 1.2× 31 0.4× 31 0.8× 3 0.3× 7 221
Junhong Lee South Korea 7 123 0.7× 108 0.7× 45 0.6× 41 1.1× 6 0.6× 17 155
Jungbin Mok United States 10 243 1.4× 207 1.4× 26 0.4× 74 1.9× 14 1.4× 17 292
Byoung‐Cheol Choi South Korea 7 291 1.7× 283 1.8× 31 0.4× 81 2.1× 7 0.7× 23 346

Countries citing papers authored by Sandeep Wagh

Since Specialization
Citations

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

Fields of papers citing papers by Sandeep Wagh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sandeep Wagh

This figure shows the co-authorship network connecting the top 25 collaborators of Sandeep Wagh. A scholar is included among the top collaborators of Sandeep Wagh 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 Sandeep Wagh. Sandeep Wagh 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.
Jayakumar, A., Shweta Bhati, M. A. Hendry, et al.. (2025). Development of an Integrated Modeling Framework for Visibility and Air Quality Forecasting in Delhi. Bulletin of the American Meteorological Society. 106(2). E261–E274. 2 indexed citations
2.
Ghude, Sachin D., V. S. Prasad, K. B. R. R. Hari Prasad, et al.. (2025). Influence of Ground‐Based Microwave Radiometer Profile Assimilation on Fog Genesis Forecasts in the Winter Boundary Layer of Northern India. Journal of Geophysical Research Atmospheres. 130(9).
3.
Hazra, Anupam, Sachin D. Ghude, Sandeep Wagh, et al.. (2024). Is a more physical representation of aerosol chemistry needed for fog forecasting?. Quarterly Journal of the Royal Meteorological Society. 150(762). 2690–2711. 5 indexed citations
4.
Ghude, Sachin D., et al.. (2024). Implementation of WRF‐Urban Asymmetric Convective Model (UACM) for Simulating Urban Fog Over Delhi, India. Journal of Geophysical Research Atmospheres. 129(20). 2 indexed citations
5.
Ghude, Sachin D., et al.. (2024). Challenges in Simulating Prevailing Fog Types Over Urban Region of Delhi. Journal of Geophysical Research Atmospheres. 129(7). 8 indexed citations
6.
Govardhan, Gaurav, Chinmay Jena, Santosh H. Kulkarni, et al.. (2023). Sensitivity of WRF/Chem simulated PM2.5 to initial/boundary conditions and planetary boundary layer parameterization schemes over the Indo-Gangetic Plain. Environmental Monitoring and Assessment. 195(5). 560–560. 8 indexed citations
7.
Govardhan, Gaurav, Sreyashi Debnath, Santosh H. Kulkarni, et al.. (2022). Probing into the wintertime meteorology and particulate matter (PM2.5 and PM10) forecast over Delhi. Atmospheric Pollution Research. 13(6). 101426–101426. 28 indexed citations
8.
Ghude, Sachin D., Ashish Sharma, Gaurav Govardhan, et al.. (2022). Improving simulation of the fog life cycle with high-resolution land data assimilation: A case study from WiFEX. Atmospheric Research. 278. 106331–106331. 18 indexed citations
9.
Wagh, Sandeep, Rachana Kulkarni, Gaurav Govardhan, et al.. (2022). Development of visibility equation based on fog microphysical observations and its verification using the WRF model. Modeling Earth Systems and Environment. 9(1). 195–211. 14 indexed citations
10.
Ghude, Sachin D., et al.. (2022). Operational Probabilistic Fog Prediction Based on Ensemble Forecast System: A Decision Support System for Fog. Atmosphere. 13(10). 1608–1608. 14 indexed citations
11.
Fernando, Harindra J. S., Clive E. Dorman, Raghavendra Krishnamurthy, et al.. (2021). Analysis of Coastal Fog from a Ship During the C-FOG Campaign. Boundary-Layer Meteorology. 181(2-3). 365–393. 7 indexed citations
12.
Dimitrova, Reneta, et al.. (2021). Simulations of Coastal Fog in the Canadian Atlantic with the Weather Research and Forecasting Model. Boundary-Layer Meteorology. 181(2-3). 443–472. 9 indexed citations
13.
Wagh, Sandeep, Raghavendra Krishnamurthy, Charlotte E. Wainwright, et al.. (2021). Study of Stratus-Lowering Marine-Fog Events Observed During C-FOG. Boundary-Layer Meteorology. 181(2-3). 317–344. 13 indexed citations
14.
Wagh, Sandeep, et al.. (2021). Study of ice nucleating particles in fog-haze weather at New Delhi, India: A case of polluted environment. Atmospheric Research. 259. 105693–105693. 9 indexed citations
15.
Gültepe, Ismail, Andrew J. Heymsfield, Harindra J. S. Fernando, et al.. (2021). A Review of Coastal Fog Microphysics During C-FOG. Boundary-Layer Meteorology. 181(2-3). 227–265. 42 indexed citations
16.
Sharma, Arun Kumar, et al.. (2019). High Resolution Numerical Simulations of Advection Fog Events during C-FOG Field Campaign. AGU Fall Meeting Abstracts. 2019. 1 indexed citations
17.
Wagh, Sandeep, Baban Nagare, D. S. More, & P. Pradeep Kumar. (2017). Multiyear observations of deposition-mode ice nucleating particles at two high-altitude stations in India. Advances in Atmospheric Sciences. 34(12). 1437–1446. 3 indexed citations
18.
Patade, Sachin, Baban Nagare, Sandeep Wagh, et al.. (2014). Deposition ice nuclei observations over the Indian region during CAIPEEX. Atmospheric Research. 149. 300–314. 22 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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