John P. George

1.1k total citations
50 papers, 698 citations indexed

About

John P. George is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography. According to data from OpenAlex, John P. George has authored 50 papers receiving a total of 698 indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Atmospheric Science, 35 papers in Global and Planetary Change and 15 papers in Oceanography. Recurrent topics in John P. George's work include Meteorological Phenomena and Simulations (35 papers), Climate variability and models (30 papers) and Tropical and Extratropical Cyclones Research (25 papers). John P. George is often cited by papers focused on Meteorological Phenomena and Simulations (35 papers), Climate variability and models (30 papers) and Tropical and Extratropical Cyclones Research (25 papers). John P. George collaborates with scholars based in India, United Kingdom and Sweden. John P. George's co-authors include E. N. Rajagopal, S. Indira Rani, Ashish Routray, Richard Renshaw, Adam Maycock, T. Arulalan, Dale Barker, M. Rajeevan, Sana Mahmood and Gopal Iyengar and has published in prestigious journals such as Journal of Climate, Journal of Hydrology and Bulletin of the American Meteorological Society.

In The Last Decade

John P. George

47 papers receiving 679 citations

Peers

John P. George

GPC

OCEAN

WST

S. Indira Rani India

Richard Renshaw United Kingdom

Thomas Schwitalla Germany

David Ovens United States

Jørn Kristiansen Norway

Jinfang Yin China

Ryoji Nagasawa Japan

Monika Cahynová Czechia

Roger Randriamampianina Norway

S. Indira Rani India

John P. George

437 ×0.7

427 ×0.8

GPC

75 ×0.7

130 ×1.4

OCEAN

33 ×0.9

WST

Citations per year, relative to John P. George John P. George (= 1×) peers S. Indira Rani

Countries citing papers authored by John P. George

Since Specialization

Citations

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

Fields of papers citing papers by John P. George

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John P. George. 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 John P. George. The network helps show where John P. George may publish in the future.

Co-authorship network of co-authors of John P. George

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

All Works

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20 of 20 papers shown

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

Mamgain, Ashu, et al.. (2024). Grand ensemble forecasts verification based on two high resolution (∼12 km) global ensemble prediction systems. Atmospheric Research. 309. 107585–107585.

Sarkar, Abhijit, et al.. (2024). Evaluating lightning forecasts of a convective scale ensemble prediction system over India. Theoretical and Applied Climatology. 155(6). 4407–4422. 2 indexed citations

George, John P., et al.. (2024). Variability of sea ice concentration over Antarctica during recent decade. Journal of Earth System Science. 134(1). 2 indexed citations

Saha, Upal, V. S. Prasad, S. Indira Rani, & John P. George. (2024). Rare winter‐thunderstorms with hail overnight 12/13 December 2019 over Delhi and its vicinity: an observational study. Weather. 80(7). 234–243.

Routray, Ashish, et al.. (2024). Impact of INSAT‐3D land surface temperature assimilation via simplified extended Kalman filter‐based land data assimilation system on forecasting of surface fields over India. Meteorological Applications. 31(6). 1 indexed citations

Rani, S. Indira, et al.. (2024). Validation of OceanSat-3 sea surface winds for their utilization in the NCMRWF NWP assimilation systems. Advances in Space Research. 75(2). 1945–1959. 2 indexed citations

Rani, S. Indira, Gibies George, Sumit Kumar, et al.. (2023). Assimilation of aircraft observations over the Indian monsoon region: Investigation of the effects of COVID‐19 on a reanalysis. Quarterly Journal of the Royal Meteorological Society. 149(752). 894–910. 2 indexed citations

Routray, Ashish, et al.. (2023). Studying the evolution of Uttarkashi cloudburst event from reanalysis datasets–A case study. Dynamics of Atmospheres and Oceans. 103. 101387–101387. 4 indexed citations

10.

Routray, Ashish, et al.. (2023). Influence of ASCAT soil moisture on prediction of track and intensity of landfall tropical cyclones. International Journal of Remote Sensing. 44(1). 341–380. 18 indexed citations

11.

Rani, S. Indira, et al.. (2022). Assessing the quality of novel Aeolus winds for NWP applications at NCMRWF. Quarterly Journal of the Royal Meteorological Society. 148(744). 1344–1367. 11 indexed citations

12.

Routray, Ashish, et al.. (2022). Impact of DWR radial wind on simulation of western disturbances using NCUM-R modeling system. Meteorology and Atmospheric Physics. 134(5). 8 indexed citations

13.

Rani, S. Indira, et al.. (2021). Assimilation of individual components of radiosonde winds: An investigation to assess the impact of single-component winds from space-borne measurements on NWP. Journal of Earth System Science. 130(2). 5 indexed citations

14.

Rani, S. Indira, et al.. (2021). Evaluation of the benefits of assimilation of Meteosat-8 observations in an NWP system over the Indian Ocean region. Meteorology and Atmospheric Physics. 133(5). 1555–1576. 4 indexed citations

15.

Rani, S. Indira, et al.. (2021). Role of Space-Borne Sea Surface Winds on the Simulation of Tropical Cyclones Over the Indian Seas. Pure and Applied Geophysics. 178(11). 4665–4686. 5 indexed citations

16.

Desamsetti, Srinivas, et al.. (2016). Assimilation of ASCAT winds using 4DVAR: an impact study. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9882. 98821D–98821D. 2 indexed citations

17.

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

18.

Ashrit, Raghavendra, et al.. (2013). Impact of cyclone bogusing and regional assimilation on tropical cyclone track and intensity predictions. MAUSAM. 64(1). 135–148. 3 indexed citations

19.

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

20.

George, John P., et al.. (2008). Multi year changes of Aerosol Optical Depth in the monsoon region of the Indian Ocean since 1986 as seen in the AVHRR and TOMS data. Annales Geophysicae. 26(1). 7–11. 11 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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