P. Goswami

450 total citations
32 papers, 357 citations indexed

About

P. Goswami is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography. According to data from OpenAlex, P. Goswami has authored 32 papers receiving a total of 357 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Atmospheric Science, 25 papers in Global and Planetary Change and 7 papers in Oceanography. Recurrent topics in P. Goswami's work include Climate variability and models (24 papers), Meteorological Phenomena and Simulations (18 papers) and Tropical and Extratropical Cyclones Research (14 papers). P. Goswami is often cited by papers focused on Climate variability and models (24 papers), Meteorological Phenomena and Simulations (18 papers) and Tropical and Extratropical Cyclones Research (14 papers). P. Goswami collaborates with scholars based in India, France and Czechia. P. Goswami's co-authors include K. V. Ramesh, K. C. Gouda, V. Rakesh, J. N. Baruah, V. Rakesh, K. N. Tiwari, Yogesh Anand Rajwade, U. C. Mohanty, Sat Kumar Tomer and Dillip Kumar Swain and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Geophysical Research Letters and Journal of the Atmospheric Sciences.

In The Last Decade

P. Goswami

31 papers receiving 345 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
P. Goswami India 11 261 238 54 42 40 32 357
Colin Manning United Kingdom 7 380 1.5× 230 1.0× 39 0.7× 36 0.9× 71 1.8× 14 468
Venkatraman Prasanna South Korea 11 291 1.1× 215 0.9× 48 0.9× 52 1.2× 69 1.7× 23 369
Changyong Park South Korea 12 369 1.4× 292 1.2× 37 0.7× 31 0.7× 56 1.4× 27 442
Pierre-Antoine Bretonnière Spain 11 302 1.2× 219 0.9× 35 0.6× 59 1.4× 37 0.9× 22 390
Seyed Asaad Hosseini Iran 10 276 1.1× 156 0.7× 66 1.2× 17 0.4× 51 1.3× 28 361
Start Regional China 11 311 1.2× 223 0.9× 61 1.1× 18 0.4× 31 0.8× 39 374
Ana Morata Spain 12 409 1.6× 198 0.8× 40 0.7× 19 0.5× 41 1.0× 17 473
Brigitte Dubuisson France 10 246 0.9× 169 0.7× 38 0.7× 15 0.4× 17 0.4× 17 341
Diarra Dieng Germany 11 273 1.0× 144 0.6× 26 0.5× 23 0.5× 73 1.8× 23 365
Sonia I. Seneviratne Switzerland 4 220 0.8× 155 0.7× 43 0.8× 28 0.7× 67 1.7× 6 359

Countries citing papers authored by P. Goswami

Since Specialization
Citations

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

Fields of papers citing papers by P. Goswami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P. Goswami

This figure shows the co-authorship network connecting the top 25 collaborators of P. Goswami. A scholar is included among the top collaborators of P. Goswami 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 P. Goswami. P. Goswami 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.
Goswami, P., et al.. (2024). Contributions of upper layer processes on the mixed layer temperature in the Bay of Bengal using relative importance methods. Ocean Dynamics. 74(11-12). 935–948. 2 indexed citations
2.
Dutta, P, P. Goswami, & Munmi Borah. (2021). Assessment of genetic variability, heritability and genetic advance in soybean genotypes. Electronic Journal of Plant Breeding. 12(4). 1461–1465. 3 indexed citations
3.
Goswami, P., et al.. (2020). Correlation and path analysis study of different characters for grain yield and fodder purpose in sorghum [Sorghum bicolor (L.) Moench]. Electronic Journal of Plant Breeding. 11(4). 1053–1061. 4 indexed citations
4.
Gouda, K. C., et al.. (2018). Evaluation of a GCM in seasonal forecasting of extreme rainfall events over continental India. Weather and Climate Extremes. 21. 10–16. 27 indexed citations
5.
Gouda, K. C. & P. Goswami. (2016). Organization of vertical shear of wind and daily variability of monsoon rainfall. Meteorology and Atmospheric Physics. 128(5). 565–577. 2 indexed citations
6.
Rajwade, Yogesh Anand, Dillip Kumar Swain, K. N. Tiwari, U. C. Mohanty, & P. Goswami. (2015). Evaluation of Field Level Adaptation Measures Under the Climate Change Scenarios in Rice Based Cropping System in India. Environmental Processes. 2(4). 669–687. 23 indexed citations
7.
Rakesh, V., et al.. (2014). Evaluation of high resolution rainfall forecasts over Karnataka for the 2011 southwest and northeast monsoon seasons. Meteorological Applications. 22(1). 37–47. 19 indexed citations
8.
Sekhar, M., et al.. (2013). Modeling the Vulnerability of an Urban Groundwater System due to the Combined Impacts of Climate Change and Management Scenarios. Earth Interactions. 17(10). 1–25. 19 indexed citations
10.
Goswami, P., et al.. (2012). Simulation of high-impact tropical weather events: comparative analysis of three heavy rainfall events. Natural Hazards. 65(3). 1703–1722. 3 indexed citations
11.
Rakesh, V. & P. Goswami. (2011). Impact of background error statistics on 3D-Var assimilation: case study over the Indian region. Meteorology and Atmospheric Physics. 112(1-2). 63–79. 12 indexed citations
12.
Goswami, P. & J. N. Baruah. (2010). Urban air pollution: process identification, impact analysis and evaluation of forecast potential. Meteorology and Atmospheric Physics. 110(3-4). 103–122. 9 indexed citations
13.
Goswami, P. & K. V. Ramesh. (2008). Extreme rainfall events : Vulnerability analysis for disaster management and observation system design. Current Science. 94(8). 1037–1044. 19 indexed citations
14.
Goswami, P. & J. N. Baruah. (2008). Simulation of Daily Variation of Suspended Particulate Matter over Delhi: Relative Roles of Vehicular Emission, Dust, and Domestic Appliances. Monthly Weather Review. 136(9). 3597–3607. 12 indexed citations
15.
Ramesh, K. V. & P. Goswami. (2007). Reduction in temporal and spatial extent of the Indian summer monsoon. Geophysical Research Letters. 34(23). 58 indexed citations
16.
Goswami, P. & K. V. Ramesh. (2006). A comparison of interpolated NCEP (I‐NCEP) rainfall with high‐resolution satellite observations. Geophysical Research Letters. 33(19). 10 indexed citations
17.
Goswami, P., K. C. Gouda, & Olivier Talagrand. (2005). Ensemble initial conditions through 4D‐Var assimilation. Geophysical Research Letters. 32(21). 2 indexed citations
18.
Goswami, P. & G.K. Patra. (2004). Characteristic scale of convective organization and monsoon intensity. Geophysical Research Letters. 31(24). 10 indexed citations
19.
Goswami, P., et al.. (2000). Convective Coupling and Interannual and Intraseasonal Coupled Variabilities in the Tropics. Journal of the Atmospheric Sciences. 57(15). 2445–2462. 2 indexed citations
20.
Goswami, P., et al.. (1994). A Dynamical mechanism for Selective Excitation of the Kelvin Mode at Timescale of 30–50 Days. Journal of the Atmospheric Sciences. 51(19). 2769–2779. 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.

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