M. Sachidananda

28 total papers · 776 total citations
22 papers, 579 citations indexed

About

M. Sachidananda is a scholar working on Aerospace Engineering, Environmental Engineering and Atmospheric Science. According to data from OpenAlex, M. Sachidananda has authored 22 papers receiving a total of 579 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Aerospace Engineering, 8 papers in Environmental Engineering and 7 papers in Atmospheric Science. Recurrent topics in M. Sachidananda's work include Radar Systems and Signal Processing (9 papers), Soil Moisture and Remote Sensing (8 papers) and Precipitation Measurement and Analysis (7 papers). M. Sachidananda is often cited by papers focused on Radar Systems and Signal Processing (9 papers), Soil Moisture and Remote Sensing (8 papers) and Precipitation Measurement and Analysis (7 papers). M. Sachidananda collaborates with scholars based in United States and India. M. Sachidananda's co-authors include Dúsan S. Zrnić, A. R. Harish, S. Anantha Ramakrishna, Richard J. Doviak, Jaideva C. Goswami, Arthur Witt and Robert M. Rabin and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Antennas and Propagation and IEEE Transactions on Aerospace and Electronic Systems.

In The Last Decade

M. Sachidananda

21 papers receiving 520 citations

Author Peers

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

Author						Papers	Cites
M. Sachidananda	462	314	164	119	58	22	579
K. L. S. Gunn	533 1.2×	137 0.4×	150 0.9×	267 2.2×	53 0.9×	8	596
G. McCormick	365 0.8×	279 0.9×	253 1.5×	111 0.9×	81 1.4×	35	613
Flavio Iturbide‐Sánchez	410 0.9×	95 0.3×	166 1.0×	248 2.1×	127 2.2×	41	581
James M. Palmer	278 0.6×	105 0.3×	444 2.7×	211 1.8×	28 0.5×	41	617
Asko Huuskonen	322 0.7×	189 0.6×	180 1.1×	111 0.9×	27 0.5×	19	596
Jiancheng Shi	481 1.0×	594 1.9×	215 1.3×	23 0.2×	17 0.3×	12	684
Fernando Pellerano	324 0.7×	377 1.2×	138 0.8×	86 0.7×	40 0.7×	22	576
Richard E. Passarelli	572 1.2×	134 0.4×	101 0.6×	361 3.0×	19 0.3×	25	666
Elisa Adirosi	458 1.0×	182 0.6×	68 0.4×	184 1.5×	26 0.4×	44	519
Kültegin Aydin	523 1.1×	147 0.5×	91 0.6×	308 2.6×	16 0.3×	30	559

Countries citing papers authored by M. Sachidananda

Since Specialization

Citations

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

Fields of papers citing papers by M. Sachidananda

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Sachidananda

This figure shows the co-authorship network connecting the top 25 collaborators of M. Sachidananda. A scholar is included among the top collaborators of M. Sachidananda 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 M. Sachidananda. M. Sachidananda 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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