Anubhav Choudhary

874 total citations
19 papers, 625 citations indexed

About

Anubhav Choudhary is a scholar working on Atmospheric Science, Global and Planetary Change and Computer Networks and Communications. According to data from OpenAlex, Anubhav Choudhary has authored 19 papers receiving a total of 625 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Atmospheric Science, 16 papers in Global and Planetary Change and 3 papers in Computer Networks and Communications. Recurrent topics in Anubhav Choudhary's work include Climate variability and models (16 papers), Meteorological Phenomena and Simulations (14 papers) and Cryospheric studies and observations (8 papers). Anubhav Choudhary is often cited by papers focused on Climate variability and models (16 papers), Meteorological Phenomena and Simulations (14 papers) and Cryospheric studies and observations (8 papers). Anubhav Choudhary collaborates with scholars based in India, Germany and Austria. Anubhav Choudhary's co-authors include A. P. Dimri, P. Maharana, Prasanta K. Jana, Indrajeet Gupta, Vishakha Singh, Dhirendra Kumar, Santosh R. Ghimire, Praveen Rai, Heiko Paeth and Aiko Voigt and has published in prestigious journals such as International Journal of Climatology, Climate Dynamics and Global and Planetary Change.

In The Last Decade

Anubhav Choudhary

19 papers receiving 609 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anubhav Choudhary India 13 415 367 134 132 80 19 625
Andrew F. Hart United States 8 226 0.5× 196 0.5× 37 0.3× 43 0.3× 41 0.5× 19 328
R. Drach United States 5 735 1.8× 696 1.9× 26 0.2× 77 0.6× 47 0.6× 12 902
Philip Kershaw United Kingdom 7 168 0.4× 148 0.4× 82 0.6× 100 0.8× 16 0.2× 21 372
Gilberto Pastorello United States 12 247 0.6× 99 0.3× 53 0.4× 42 0.3× 37 0.5× 34 461
Stephen Pascoe United Kingdom 6 173 0.4× 164 0.4× 32 0.2× 55 0.4× 18 0.2× 11 299
Andrés Navarro Spain 14 473 1.1× 523 1.4× 24 0.2× 28 0.2× 102 1.3× 42 757
M. Suarez United States 7 324 0.8× 323 0.9× 13 0.1× 68 0.5× 70 0.9× 11 549
John Harney United States 7 101 0.2× 90 0.2× 92 0.7× 82 0.6× 14 0.2× 13 273
Neill Miller United States 6 100 0.2× 90 0.2× 87 0.6× 180 1.4× 14 0.2× 7 329
Mark Morgan United States 7 101 0.2× 89 0.2× 67 0.5× 134 1.0× 15 0.2× 12 288

Countries citing papers authored by Anubhav Choudhary

Since Specialization
Citations

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

Fields of papers citing papers by Anubhav Choudhary

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anubhav Choudhary

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

All Works

19 of 19 papers shown
1.
Sullivan, Sylvia, et al.. (2023). How does cloud-radiative heating over the North Atlantic change with grid spacing, convective parameterization, and microphysics scheme in ICON version 2.1.00?. Geoscientific model development. 16(12). 3535–3551. 5 indexed citations
2.
Choudhary, Anubhav & Aiko Voigt. (2022). Impact of grid spacing, convective parameterization and cloud microphysics in ICON simulations of a warm conveyor belt. Weather and Climate Dynamics. 3(4). 1199–1214. 8 indexed citations
3.
Choudhary, Anubhav, et al.. (2022). An efficient resource provisioning algorithm for workflow execution in cloud platform. Cluster Computing. 25(6). 4233–4255. 5 indexed citations
4.
Sullivan, Sylvia, et al.. (2022). Model Dependencies of Cloud-Radiative Heating over the North Atlantic. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
5.
Maharana, P., A. P. Dimri, & Anubhav Choudhary. (2019). Redistribution of Indian summer monsoon by dust aerosol forcing. Meteorological Applications. 26(4). 584–596. 24 indexed citations
6.
Maharana, P., A. P. Dimri, & Anubhav Choudhary. (2019). Future changes in Indian summer monsoon characteristics under 1.5 and 2 °C specific warming levels. Climate Dynamics. 54(1-2). 507–523. 21 indexed citations
7.
Rai, Praveen, Anubhav Choudhary, & A. P. Dimri. (2019). Future precipitation extremes over India from the CORDEX-South Asia experiments. Theoretical and Applied Climatology. 137(3-4). 2961–2975. 30 indexed citations
8.
Choudhary, Anubhav, A. P. Dimri, & Heiko Paeth. (2018). Added value of CORDEX‐SA experiments in simulating summer monsoon precipitation over India. International Journal of Climatology. 39(4). 2156–2172. 20 indexed citations
9.
Choudhary, Anubhav, Indrajeet Gupta, Vishakha Singh, & Prasanta K. Jana. (2018). A GSA based hybrid algorithm for bi-objective workflow scheduling in cloud computing. Future Generation Computer Systems. 83. 14–26. 139 indexed citations
10.
Dimri, A. P., Dhirendra Kumar, Anubhav Choudhary, & P. Maharana. (2018). Future changes over the Himalayas: Maximum and minimum temperature. Global and Planetary Change. 162. 212–234. 55 indexed citations
11.
Choudhary, Anubhav & A. P. Dimri. (2018). On bias correction of summer monsoon precipitation over India from CORDEX‐SA simulations. International Journal of Climatology. 39(3). 1388–1403. 25 indexed citations
12.
Dimri, A. P., Dhirendra Kumar, Anubhav Choudhary, & P. Maharana. (2018). Future changes over the Himalayas: Mean temperature. Global and Planetary Change. 162. 235–251. 61 indexed citations
13.
Choudhary, Anubhav & A. P. Dimri. (2018). Performance of an ensemble of CORDEX-SA simulations in representing maximum and minimum temperature over the Himalayan region. Theoretical and Applied Climatology. 136(3-4). 1047–1072. 5 indexed citations
14.
Dimri, A. P., et al.. (2018). Indus River Basin: Future climate and water budget. International Journal of Climatology. 39(1). 395–406. 21 indexed citations
15.
Choudhary, Anubhav, A. P. Dimri, & P. Maharana. (2017). Assessment of CORDEX-SA experiments in representing precipitation climatology of summer monsoon over India. Theoretical and Applied Climatology. 134(1-2). 283–307. 45 indexed citations
16.
17.
Choudhary, Anubhav & A. P. Dimri. (2017). Assessment of CORDEX-South Asia experiments for monsoonal precipitation over Himalayan region for future climate. Climate Dynamics. 50(7-8). 3009–3030. 48 indexed citations
18.
Gupta, Indrajeet, Anubhav Choudhary, & Prasanta K. Jana. (2017). Generation and Proliferation of Random Directed Acyclic Graphs for Workflow Scheduling Problem. 123–127. 5 indexed citations
19.
Ghimire, Santosh R., Anubhav Choudhary, & A. P. Dimri. (2015). Assessment of the performance of CORDEX-South Asia experiments for monsoonal precipitation over the Himalayan region during present climate: part I. Climate Dynamics. 50(7-8). 2311–2334. 82 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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