A. S. Sahana

573 total citations
11 papers, 458 citations indexed

About

A. S. Sahana is a scholar working on Global and Planetary Change, Atmospheric Science and Civil and Structural Engineering. According to data from OpenAlex, A. S. Sahana has authored 11 papers receiving a total of 458 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Global and Planetary Change, 6 papers in Atmospheric Science and 3 papers in Civil and Structural Engineering. Recurrent topics in A. S. Sahana's work include Climate variability and models (6 papers), Meteorological Phenomena and Simulations (4 papers) and Water resources management and optimization (3 papers). A. S. Sahana is often cited by papers focused on Climate variability and models (6 papers), Meteorological Phenomena and Simulations (4 papers) and Water resources management and optimization (3 papers). A. S. Sahana collaborates with scholars based in India, Australia and United States. A. S. Sahana's co-authors include Subimal Ghosh, E. P. Rao, Raghu Murtugudde, Auroop R. Ganguly, Amey Pathak, Subhankar Karmakar, Vittal Hari, Kamal Kumar Murari, Edoardo Daly and M. Sekhar and has published in prestigious journals such as Geophysical Research Letters, Environmental Research Letters and Climate Dynamics.

In The Last Decade

A. S. Sahana

11 papers receiving 449 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
A. S. Sahana India	8	367	270	89	72	63	11	458
Thando Ndarana South Africa	15	453 1.2×	389 1.4×	50 0.6×	64 0.9×	111 1.8×	41	594
R. Athulya India	3	462 1.3×	308 1.1×	89 1.0×	58 0.8×	39 0.6×	7	535
Moctar Camara Senegal	12	499 1.4×	364 1.3×	64 0.7×	102 1.4×	28 0.4×	41	591
Subimal Ghosh India	10	477 1.3×	283 1.0×	114 1.3×	30 0.4×	58 0.9×	23	557
Richard Mumo Botswana	12	373 1.0×	161 0.6×	81 0.9×	104 1.4×	26 0.4×	20	463
Huanping Huang United States	12	389 1.1×	285 1.1×	81 0.9×	56 0.8×	34 0.5×	17	489
J. E. Herrera-Estrada United States	8	401 1.1×	190 0.7×	197 2.2×	61 0.8×	20 0.3×	12	535
Michael Tanu Ghana	7	363 1.0×	330 1.2×	63 0.7×	30 0.4×	37 0.6×	8	512
Romana Beranová Czechia	13	426 1.2×	292 1.1×	82 0.9×	30 0.4×	50 0.8×	23	527
Raquel Romera Spain	13	461 1.3×	404 1.5×	55 0.6×	49 0.7×	70 1.1×	19	559

Countries citing papers authored by A. S. Sahana

Since Specialization

Citations

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

Fields of papers citing papers by A. S. Sahana

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A. S. Sahana. 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 A. S. Sahana. The network helps show where A. S. Sahana may publish in the future.

Co-authorship network of co-authors of A. S. Sahana

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

All Works

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11 of 11 papers shown

Sahana, A. S. & Subimal Ghosh. (2018). An Improved Prediction of Indian Summer Monsoon Onset From State‐of‐the‐Art Dynamic Model Using Physics‐Guided Data‐Driven Approach. Geophysical Research Letters. 45(16). 8510–8518. 8 indexed citations

Sahana, A. S., Amey Pathak, Mathew Koll Roxy, & Subimal Ghosh. (2018). Understanding the role of moisture transport on the dry bias in indian monsoon simulations by CFSv2. Climate Dynamics. 52(1-2). 637–651. 17 indexed citations

Ghosh, Subimal, et al.. (2017). Water–food–energy nexus with changing agricultural scenarios in India during recent decades. Hydrology and earth system sciences. 21(6). 3041–3060. 59 indexed citations

Ghosh, Subimal, et al.. (2016). Water Food Energy Nexus: Changing Scenarios in India during recent Decades. 8 indexed citations

Ghosh, Subimal, et al.. (2016). Do dynamic regional models add value to the global model projections of Indian monsoon?. Climate Dynamics. 48(3-4). 1375–1397. 84 indexed citations

Murari, Kamal Kumar, A. S. Sahana, Edoardo Daly, & Subimal Ghosh. (2016). The influence of the El Niño Southern Oscillation on heat waves in India. Meteorological Applications. 23(4). 705–713. 50 indexed citations

Sahana, A. S., Subimal Ghosh, Auroop R. Ganguly, & Raghu Murtugudde. (2015). Shift in Indian summer monsoon onset during 1976/1977. Environmental Research Letters. 10(5). 54006–54006. 73 indexed citations

Ghosh, Subimal, et al.. (2014). Failure of CMIP5 climate models in simulating post‐1950 decreasing trend of Indian monsoon. Geophysical Research Letters. 41(20). 7323–7330. 151 indexed citations

Adarsh, S. & A. S. Sahana. (2013). Optimal design of drainage channels using probabilistic search. Proceedings of the Institution of Civil Engineers - Water Management. 166(5). 285–300. 1 indexed citations

10.

Adarsh, S. & A. S. Sahana. (2012). Minimum Cost Design of Irrigation Canals Using Probabilistic Global Search Lausanne. Arabian Journal for Science and Engineering. 38(10). 2631–2637. 6 indexed citations

11.

Adarsh, S. & A. S. Sahana. (2011). Briefing: Design of minimum water loss canals using swarm intelligence. Proceedings of the Institution of Civil Engineers - Water Management. 165(1). 3–7. 1 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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