Neha U. Keshav

25 total papers · 1.1k total citations
13 papers, 744 citations indexed

About

Neha U. Keshav is a scholar working on Cognitive Neuroscience, Education and Occupational Therapy. According to data from OpenAlex, Neha U. Keshav has authored 13 papers receiving a total of 744 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cognitive Neuroscience, 5 papers in Education and 4 papers in Occupational Therapy. Recurrent topics in Neha U. Keshav's work include Autism Spectrum Disorder Research (10 papers), Child Development and Digital Technology (5 papers) and Assistive Technology in Communication and Mobility (4 papers). Neha U. Keshav is often cited by papers focused on Autism Spectrum Disorder Research (10 papers), Child Development and Digital Technology (5 papers) and Assistive Technology in Communication and Mobility (4 papers). Neha U. Keshav collaborates with scholars based in United States, Switzerland and Netherlands. Neha U. Keshav's co-authors include Ned T. Sahin, Arshya Vahabzadeh, Joseph P. Salisbury, Bridget Wicinski, Hala Harony‐Nicolas, Joseph D. Buxbaum, Patrick R. Hof, Merina Varghese, Dara L. Dickstein and Silvia De Rubeis and has published in prestigious journals such as Acta Neuropathologica, Journal of Neuropathology & Experimental Neurology and Journal of Clinical Medicine.

In The Last Decade

Neha U. Keshav

13 papers receiving 734 citations

Hit Papers

Autism spectrum disorder:... 2017 2026 2020 2023 2017 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Neha U. Keshav 473 197 141 136 134 13 744
Roberta Igliozzi 628 1.3× 153 0.8× 81 0.6× 59 0.4× 115 0.9× 26 791
Lawrie S. McKay 780 1.6× 90 0.5× 23 0.2× 61 0.4× 62 0.5× 12 904
Carole Tardif 655 1.4× 107 0.5× 57 0.4× 33 0.2× 112 0.8× 35 815
Lauren Herlihy 607 1.3× 102 0.5× 31 0.2× 19 0.1× 194 1.4× 23 832
Yael Granader 534 1.1× 92 0.5× 54 0.4× 24 0.2× 198 1.5× 14 787
Caroline Whyatt 455 1.0× 56 0.3× 35 0.2× 25 0.2× 55 0.4× 21 666
Jennifer L. Schroeder 639 1.4× 110 0.6× 18 0.1× 27 0.2× 83 0.6× 9 891
Noah Merin 435 0.9× 104 0.5× 8 0.1× 73 0.5× 140 1.0× 18 758
Cécilie Rondan 573 1.2× 82 0.4× 19 0.1× 20 0.1× 71 0.5× 16 655
Sylvie Goldman 457 1.0× 158 0.8× 14 0.1× 35 0.3× 134 1.0× 22 658

Countries citing papers authored by Neha U. Keshav

Since Specialization
Citations

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

Fields of papers citing papers by Neha U. Keshav

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Neha U. Keshav. 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 Neha U. Keshav. The network helps show where Neha U. Keshav may publish in the future.

Co-authorship network of co-authors of Neha U. Keshav

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

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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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