Gopal Iyengar

714 total citations
33 papers, 553 citations indexed

About

Gopal Iyengar is a scholar working on Atmospheric Science, Global and Planetary Change and Ecology. According to data from OpenAlex, Gopal Iyengar has authored 33 papers receiving a total of 553 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Atmospheric Science, 26 papers in Global and Planetary Change and 2 papers in Ecology. Recurrent topics in Gopal Iyengar's work include Meteorological Phenomena and Simulations (27 papers), Climate variability and models (22 papers) and Tropical and Extratropical Cyclones Research (13 papers). Gopal Iyengar is often cited by papers focused on Meteorological Phenomena and Simulations (27 papers), Climate variability and models (22 papers) and Tropical and Extratropical Cyclones Research (13 papers). Gopal Iyengar collaborates with scholars based in India, Australia and United States. Gopal Iyengar's co-authors include E. N. Rajagopal, Ashis K. Mitra, Raghavendra Ashrit, Swati Basu, Saji Mohandas, A. K. Bohra, Kuldeep Sharma, John P. George, Anumeha Dube and V. R. Durai and has published in prestigious journals such as Monthly Weather Review, Marine Pollution Bulletin and International Journal of Climatology.

In The Last Decade

Gopal Iyengar

32 papers receiving 540 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gopal Iyengar India 15 462 441 79 33 31 33 553
Chaoying Huang China 9 155 0.3× 222 0.5× 47 0.6× 19 0.6× 30 1.0× 21 336
Natália Machado Crespo Brazil 11 264 0.6× 255 0.6× 24 0.3× 53 1.6× 23 0.7× 31 392
Changyong Park South Korea 12 369 0.8× 292 0.7× 37 0.5× 31 0.9× 65 2.1× 27 442
Richard Steed United States 6 246 0.5× 217 0.5× 32 0.4× 33 1.0× 51 1.6× 6 333
Yuanyuan Ma China 14 407 0.9× 394 0.9× 65 0.8× 31 0.9× 27 0.9× 31 481
T. Arulalan India 8 305 0.7× 273 0.6× 52 0.7× 26 0.8× 31 1.0× 15 367
Gin-Rong Liu Taiwan 9 158 0.3× 190 0.4× 71 0.9× 27 0.8× 19 0.6× 20 275
Parvin Ghafarian Iran 10 232 0.5× 243 0.6× 89 1.1× 61 1.8× 11 0.4× 32 388
Oxana Drofa Italy 10 259 0.6× 299 0.7× 24 0.3× 96 2.9× 28 0.9× 19 368
Chandra Rupa Rajulapati Canada 9 240 0.5× 185 0.4× 37 0.5× 15 0.5× 62 2.0× 16 292

Countries citing papers authored by Gopal Iyengar

Since Specialization
Citations

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

Fields of papers citing papers by Gopal Iyengar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gopal Iyengar

This figure shows the co-authorship network connecting the top 25 collaborators of Gopal Iyengar. A scholar is included among the top collaborators of Gopal Iyengar 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 Gopal Iyengar. Gopal Iyengar 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.
2.
Mishra, Pravakar, Thanamegam Kaviarasan, M. V. Ramana Murthy, et al.. (2022). Assessment of national beach litter composition, sources, and management along the Indian coast - a citizen science approach. Marine Pollution Bulletin. 186. 114405–114405. 34 indexed citations
3.
George, John P., et al.. (2018). Prediction of fog/visibility over India using NWP Model. Journal of Earth System Science. 127(2). 28 indexed citations
4.
Jayakumar, A., et al.. (2017). Behavior of predicted convective clouds and precipitation in the high‐resolution Unified Model over the Indian summer monsoon region. Earth and Space Science. 4(5). 303–313. 20 indexed citations
5.
Dube, Anumeha, et al.. (2017). Evaluating the performance of two global ensemble forecasting systems in predicting rainfall over India during the southwest monsoons. Meteorological Applications. 24(2). 230–238. 10 indexed citations
6.
Unnikrishnan, C. K., Biswadip Gharai, Saji Mohandas, et al.. (2016). Recent changes on land use/land cover over Indian region and its impact on the weather prediction using Unified model. Atmospheric Science Letters. 17(4). 294–300. 28 indexed citations
7.
Sharma, Kuldeep, Raghavendra Ashrit, Gopal Iyengar, R. Bhatla, & E. N. Rajagopal. (2016). Forecasting of monsoon heavy rains: challenges in NWP. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9882. 98821O–98821O. 1 indexed citations
8.
Dube, Anumeha, Raghavendra Ashrit, H. N. Singh, Gopal Iyengar, & E. N. Rajagopal. (2016). Verification of Medium Range Probabilistic Rainfall Forecasts Over India. Pure and Applied Geophysics. 173(7). 2489–2510. 2 indexed citations
9.
Iyengar, Gopal, et al.. (2016). Dust storm events over Delhi: verification of dust AOD forecasts with satellite and surface observations. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9876. 98762S–98762S. 2 indexed citations
10.
Ashrit, Raghavendra, Kuldeep Sharma, Anumeha Dube, et al.. (2015). Verification of short range forecasts of extreme rainfall during monsoon. MAUSAM. 66(3). 375–386. 10 indexed citations
11.
Dube, Anumeha, et al.. (2015). Tropical cyclone forecast from NCMRWF global ensemble forecast system, verification and bias correction. MAUSAM. 66(3). 511–528. 2 indexed citations
12.
Iyengar, Gopal, Raghavendra Ashrit, Kuldeep Sharma, et al.. (2014). Improved Prediction of Cyclone Phailin (9-12 October 2013) with 4DVAR Assimilation. Current Science. 107(6). 952–954. 2 indexed citations
13.
Dube, Anumeha, Raghavendra Ashrit, Kuldeep Sharma, et al.. (2014). Forecasting the heavy rainfall during Himalayan flooding—June 2013. Weather and Climate Extremes. 4. 22–34. 67 indexed citations
14.
Kar, Sarat C., Gopal Iyengar, & A. K. Bohra. (2011). Ensemble spread and systematic errors in the medium-range predictions during the Indian summer monsoon. Atmósfera. 24(2). 173–191. 13 indexed citations
15.
Kumar, Ashok, Ashis K. Mitra, A. K. Bohra, Gopal Iyengar, & V. R. Durai. (2011). Multi‐model ensemble (MME) prediction of rainfall using neural networks during monsoon season in India. Meteorological Applications. 19(2). 161–169. 44 indexed citations
16.
Das, Someshwar, Raghavendra Ashrit, Gopal Iyengar, et al.. (2008). Skills of different mesoscale models over Indian region during monsoon season: Forecast errors. Journal of Earth System Science. 117(5). 603–620. 48 indexed citations
17.
Iyengar, Gopal, et al.. (2007). Features of the Indian Summer Monsoon 2004-Observed and Model Forecasts. Journal of the Meteorological Society of Japan Ser II. 85A. 325–336. 2 indexed citations
18.
Bohra, A. K., Swati Basu, E. N. Rajagopal, et al.. (2006). Heavy rainfall episode over Mumbai on 26 July 2005: Assessment of NWP guidance. Current Science. 90(9). 1188–1194. 56 indexed citations
19.
Ramesh, K. & Gopal Iyengar. (1999). Characteristics of medium range rainfall forecasts of the Asian summer monsoon. International Journal of Climatology. 19(6). 627–637. 5 indexed citations
20.
Tóth, Zoltán, Istvan Szunyogh, Eugenia Kalnay, & Gopal Iyengar. (1999). Comments on: ‘‘Notes on the appropriateness of ‘bred modes’ for generating initial perturbations’’. Tellus A Dynamic Meteorology and Oceanography. 51(3). 442–442. 9 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Chaoying Huang Breakdown of academic impact, for papers by Natália Machado Crespo Breakdown of academic impact, for papers by Changyong Park Breakdown of academic impact, for papers by Richard Steed Breakdown of academic impact, for papers by Yuanyuan Ma Breakdown of academic impact, for papers by T. Arulalan Breakdown of academic impact, for papers by Gin-Rong Liu Breakdown of academic impact, for papers by Parvin Ghafarian Breakdown of academic impact, for papers by Oxana Drofa Breakdown of academic impact, for papers by Chandra Rupa Rajulapati
Rankless by CCL
2026