Prabha Mandayam

73 total papers · 450 total citations
26 papers, 251 citations indexed

About

Prabha Mandayam is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Computational Theory and Mathematics. According to data from OpenAlex, Prabha Mandayam has authored 26 papers receiving a total of 251 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 17 papers in Atomic and Molecular Physics, and Optics and 3 papers in Computational Theory and Mathematics. Recurrent topics in Prabha Mandayam's work include Quantum Information and Cryptography (23 papers), Quantum Computing Algorithms and Architecture (20 papers) and Quantum Mechanics and Applications (9 papers). Prabha Mandayam is often cited by papers focused on Quantum Information and Cryptography (23 papers), Quantum Computing Algorithms and Architecture (20 papers) and Quantum Mechanics and Applications (9 papers). Prabha Mandayam collaborates with scholars based in India, United States and Singapore. Prabha Mandayam's co-authors include Hui Khoon Ng, Ayan Mukhopadhyay, M. D. Srinivas, Anil Prabhakar, Stephanie Wehner, Karol Życzkowski, Arul Lakshminarayan, Somshubhro Bandyopadhyay, Ved Prakash Gupta and V. S. Sunder and has published in prestigious journals such as SHILAP Revista de lepidopterología, Physical Review A and The European Physical Journal C.

In The Last Decade

Prabha Mandayam

24 papers receiving 247 citations

Author Peers

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

Author						Papers	Cites
Prabha Mandayam	198	150	31	27	25	26	251
Masahito Hayashi	219 1.1×	183 1.2×	64 2.1×	15 0.6×	16 0.6×	38	319
G. A. Ringwood	99 0.5×	65 0.4×	41 1.3×	12 0.4×	52 2.1×	30	257
Adam Bouland	256 1.3×	179 1.2×	22 0.7×	30 1.1×	49 2.0×	20	302
Jay Lawrence	234 1.2×	227 1.5×	32 1.0×	21 0.8×	33 1.3×	12	306
Alexander Zlokapa	131 0.7×	73 0.5×	45 1.5×	16 0.6×	23 0.9×	10	211
Christopher T. Chubb	187 0.9×	212 1.4×	106 3.4×	11 0.4×	19 0.8×	13	308
Zain H. Saleem	81 0.4×	50 0.3×	18 0.6×	9 0.3×	26 1.0×	29	188
Nicholas Hunter-Jones	95 0.5×	116 0.8×	71 2.3×	16 0.6×	17 0.7×	9	200
Markus Hauru	108 0.5×	218 1.5×	50 1.6×	10 0.4×	13 0.5×	13	279
T. Hakioğlu	59 0.3×	175 1.2×	55 1.8×	28 1.0×	9 0.4×	46	275

Countries citing papers authored by Prabha Mandayam

Since Specialization

Citations

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

Fields of papers citing papers by Prabha Mandayam

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Prabha Mandayam

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