E. Suhas

537 total citations
24 papers, 409 citations indexed

About

E. Suhas is a scholar working on Global and Planetary Change, Atmospheric Science and Oceanography. According to data from OpenAlex, E. Suhas has authored 24 papers receiving a total of 409 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Global and Planetary Change, 19 papers in Atmospheric Science and 10 papers in Oceanography. Recurrent topics in E. Suhas's work include Climate variability and models (20 papers), Meteorological Phenomena and Simulations (13 papers) and Tropical and Extratropical Cyclones Research (9 papers). E. Suhas is often cited by papers focused on Climate variability and models (20 papers), Meteorological Phenomena and Simulations (13 papers) and Tropical and Extratropical Cyclones Research (9 papers). E. Suhas collaborates with scholars based in India, United States and Taiwan. E. Suhas's co-authors include B. N. Goswami, J. M. Neena, Guang J. Zhang, S. Sandeep, V. Vinoj, Debadatta Swain, Xianan Jiang, Kiranmayi Landu, Tong Lee and Raghu Murtugudde and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Journal of Climate and Geophysical Research Letters.

In The Last Decade

E. Suhas

23 papers receiving 401 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
E. Suhas India 9 387 342 99 15 13 24 409
S. Schubert Australia 5 409 1.1× 357 1.0× 104 1.1× 19 1.3× 12 0.9× 7 422
Jingwei Xu China 5 307 0.8× 267 0.8× 174 1.8× 13 0.9× 18 1.4× 11 339
Wan‐Ling Tseng Taiwan 10 345 0.9× 294 0.9× 167 1.7× 16 1.1× 13 1.0× 28 385
Jürgen Kröger Germany 11 421 1.1× 383 1.1× 188 1.9× 9 0.6× 9 0.7× 16 469
Zuqiang Zhang China 6 388 1.0× 372 1.1× 184 1.9× 10 0.7× 8 0.6× 12 415
Libin Ma China 9 272 0.7× 251 0.7× 109 1.1× 14 0.9× 15 1.2× 30 320
Vladimir N. Kryjov South Korea 12 342 0.9× 316 0.9× 59 0.6× 19 1.3× 21 1.6× 25 384
Bidyut Bikash Goswami India 11 428 1.1× 376 1.1× 80 0.8× 11 0.7× 27 2.1× 20 459
Lindsey N. Long United States 9 253 0.7× 223 0.7× 96 1.0× 30 2.0× 10 0.8× 12 284
Cory Baggett United States 10 632 1.6× 621 1.8× 122 1.2× 22 1.5× 6 0.5× 17 682

Countries citing papers authored by E. Suhas

Since Specialization
Citations

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

Fields of papers citing papers by E. Suhas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of E. Suhas

This figure shows the co-authorship network connecting the top 25 collaborators of E. Suhas. A scholar is included among the top collaborators of E. Suhas 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 E. Suhas. E. Suhas 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.
Suhas, E., et al.. (2024). A survey of westward‐propagating mixed Rossby–Gravity waves and quantification of their association with extratropical disturbances. Quarterly Journal of the Royal Meteorological Society. 150(760). 1752–1770. 1 indexed citations
2.
Suhas, E., et al.. (2024). Wave Resonance Induced Intensification of Mixed Rossby‐Gravity Waves by Extratropical Forcing. Geophysical Research Letters. 51(24).
3.
Chandra, V., S. Sandeep, E. Suhas, & Aneesh C. Subramanian. (2022). Weakening of Indian Summer Monsoon Synoptic Activity in Response to Polar Sea Ice Melt Induced by Albedo Reduction in a Climate Model. Earth and Space Science. 9(9). 3 indexed citations
4.
5.
Sandeep, S., et al.. (2022). A Dynamical Linkage Between Western North Pacific Tropical Cyclones and Indian Monsoon Low‐Pressure Systems. Geophysical Research Letters. 49(11). 2 indexed citations
6.
Neena, J. M., E. Suhas, & Xianan Jiang. (2022). Modulation of the Convectively Coupled Kelvin Waves by the MJO over different domains. Journal of Climate. 1–39. 2 indexed citations
7.
Zhang, Guang J., et al.. (2022). Assessing free tropospheric quasi-equilibrium for different GCM resolutions using a cloud-resolving model simulation of tropical convection. Climate Dynamics. 59(9-10). 3035–3050. 1 indexed citations
8.
Sandeep, S., et al.. (2021). Downstream and In Situ Genesis of Monsoon Low‐Pressure Systems in Climate Models. Earth and Space Science. 8(9). 7 indexed citations
9.
Vinoj, V., et al.. (2021). Aerosol Induced Changes in Sea Surface Temperature Over the Bay of Bengal Due to COVID-19 Lockdown. Frontiers in Marine Science. 8. 9 indexed citations
10.
Neena, J. M., E. Suhas, & Raghu Murtugudde. (2020). Boreal Spring El Niño Convective State and Its Impact on Monsoon Onset. Geophysical Research Letters. 47(22). 2 indexed citations
11.
Suhas, E., et al.. (2019). Downstream and In Situ: Two Perspectives on the Initiation of Monsoon Low‐Pressure Systems Over the Bay of Bengal. Geophysical Research Letters. 46(21). 12303–12310. 13 indexed citations
12.
Li, J.‐L. F., E. Suhas, Mark Richardson, et al.. (2018). The Impacts of Bias in Cloud‐Radiation‐Dynamics Interactions on Central Pacific Seasonal and El Niño Simulations in Contemporary GCMs. Earth and Space Science. 5(2). 50–60. 7 indexed citations
13.
Ruf, Christopher S., Robert Atlas, Sharanya J. Majumdar, E. Suhas, & Duane E. Waliser. (2017). NASA CYGNSS Tropical Cyclone Mission. EGU General Assembly Conference Abstracts. 1961. 1 indexed citations
14.
Li, J.‐L. F., Wei‐Liang Lee, Mark Richardson, et al.. (2016). Assessing the radiative impacts of precipitating clouds on winter surface air temperatures and land surface properties in general circulation models using observations. Journal of Geophysical Research Atmospheres. 121(19). 2 indexed citations
15.
Suhas, E. & Guang J. Zhang. (2015). Evaluating convective parameterization closures using cloud‐resolving model simulation of tropical deep convection. Journal of Geophysical Research Atmospheres. 120(4). 1260–1277. 27 indexed citations
16.
Suhas, E. & Guang J. Zhang. (2014). Evaluation of Trigger Functions for Convective Parameterization Schemes Using Observations. Journal of Climate. 27(20). 7647–7666. 73 indexed citations
17.
Suhas, E., J. M. Neena, & B. N. Goswami. (2012). An Indian monsoon intraseasonal oscillations (MISO) index for real time monitoring and forecast verification. Climate Dynamics. 40(11-12). 2605–2616. 107 indexed citations
18.
Suhas, E., J. M. Neena, & B. N. Goswami. (2012). Interannual Variability of Indian Summer Monsoon arising from Interactions between Seasonal Mean and Intraseasonal Oscillations. Journal of the Atmospheric Sciences. 69(6). 1761–1774. 28 indexed citations
19.
Neena, J. M., E. Suhas, & B. N. Goswami. (2011). Leading role of internal dynamics in the 2009 Indian summer monsoon drought. Journal of Geophysical Research Atmospheres. 116(D13). 59 indexed citations
20.
Suhas, E. & B. N. Goswami. (2008). Regime shift in Indian summer monsoon climatological intraseasonal oscillations. Geophysical Research Letters. 35(20). 18 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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