S. D. Sanap

20 total papers · 434 total citations
15 papers, 320 citations indexed

About

S. D. Sanap is a scholar working on Global and Planetary Change, Atmospheric Science and Oceanography. According to data from OpenAlex, S. D. Sanap has authored 15 papers receiving a total of 320 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Global and Planetary Change, 13 papers in Atmospheric Science and 2 papers in Oceanography. Recurrent topics in S. D. Sanap's work include Climate variability and models (10 papers), Meteorological Phenomena and Simulations (7 papers) and Atmospheric aerosols and clouds (6 papers). S. D. Sanap is often cited by papers focused on Climate variability and models (10 papers), Meteorological Phenomena and Simulations (7 papers) and Atmospheric aerosols and clouds (6 papers). S. D. Sanap collaborates with scholars based in India, United States and Italy. S. D. Sanap's co-authors include G. Pandithurai, M. G. Manoj, P. Priya, K. Niranjan, D. C. Ayantika, M. Mohapatra, M. M. Ali, Vinay Kumar, K. K. Dani and Jasti S. Chowdary and has published in prestigious journals such as Atmospheric Environment, International Journal of Remote Sensing and International Journal of Climatology.

In The Last Decade

S. D. Sanap

14 papers receiving 315 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
S. D. Sanap	268	241	39	33	19	15	320
Joy Merwin Monteiro	185 0.7×	166 0.7×	39 1.0×	73 2.2×	26 1.4×	19	257
Diamantino Henriques	135 0.5×	164 0.7×	40 1.0×	41 1.2×	10 0.5×	17	235
Li Shi	225 0.8×	157 0.7×	38 1.0×	117 3.5×	25 1.3×	20	326
PJ Michaels	195 0.7×	122 0.5×	119 3.1×	9 0.3×	52 2.7×	11	363
María Jesús Casado	250 0.9×	231 1.0×	6 0.2×	38 1.2×	13 0.7×	15	305
Naomi Goldenson	254 0.9×	222 0.9×	10 0.3×	20 0.6×	14 0.7×	20	366
Javier Vaquero‐Martínez	110 0.4×	127 0.5×	15 0.4×	111 3.4×	25 1.3×	19	290
Lauren Schmeisser	247 0.9×	266 1.1×	76 1.9×	41 1.2×	26 1.4×	9	314
Kathrin Wehrli	225 0.8×	191 0.8×	34 0.9×	28 0.8×	40 2.1×	10	269
Lamei Shi	218 0.8×	169 0.7×	49 1.3×	25 0.8×	50 2.6×	21	348

Countries citing papers authored by S. D. Sanap

Since Specialization

Citations

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

Fields of papers citing papers by S. D. Sanap

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. D. Sanap

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

All Works

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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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