Anil Palepu

593 total citations
3 papers, 46 citations indexed

About

Anil Palepu is a scholar working on Cellular and Molecular Neuroscience, Pulmonary and Respiratory Medicine and Cognitive Neuroscience. According to data from OpenAlex, Anil Palepu has authored 3 papers receiving a total of 46 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Cellular and Molecular Neuroscience, 1 paper in Pulmonary and Respiratory Medicine and 1 paper in Cognitive Neuroscience. Recurrent topics in Anil Palepu's work include Neuroscience and Neural Engineering (1 paper), Neural dynamics and brain function (1 paper) and Phonocardiography and Auscultation Techniques (1 paper). Anil Palepu is often cited by papers focused on Neuroscience and Neural Engineering (1 paper), Neural dynamics and brain function (1 paper) and Phonocardiography and Auscultation Techniques (1 paper). Anil Palepu collaborates with scholars based in United States and United Kingdom. Anil Palepu's co-authors include Andrew Bate, Jeffery L. Painter, Paul Bain, Stephen Woloszynek, Michael R. Smith, Joe B. Hakim, Andrew L. Beam, Benjamin Kompa, William S. Anderson and Puneet Sharma and has published in prestigious journals such as Drug Safety, npj Digital Medicine and PubMed.

In The Last Decade

Anil Palepu

3 papers receiving 43 citations

Peers

Anil Palepu
Luke E. Zabotka United States
Tom Everitt United Kingdom
David Baehrens Switzerland
Olesya Razuvayevskaya United Kingdom
Anil Palepu
Citations per year, relative to Anil Palepu Anil Palepu (= 1×) peers Damien Leprovost

Countries citing papers authored by Anil Palepu

Since Specialization
Citations

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

Fields of papers citing papers by Anil Palepu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anil Palepu

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

All Works

3 of 3 papers shown
1.
Sharma, Puneet, et al.. (2025). NeoCLIP: a self-supervised foundation model for the interpretation of neonatal radiographs. npj Digital Medicine. 8(1). 570–570. 2 indexed citations
2.
Kompa, Benjamin, Joe B. Hakim, Anil Palepu, et al.. (2022). Artificial Intelligence Based on Machine Learning in Pharmacovigilance: A Scoping Review. Drug Safety. 45(5). 477–491. 41 indexed citations
3.
Palepu, Anil, Martina Vendrame, Tobias Loddenkemper, et al.. (2018). Automating Interictal Spike Detection: Revisiting A Simple Threshold Rule. PubMed. 145. 299–302. 3 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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