Gagan Sidhu

484 total citations
4 papers, 330 citations indexed

About

Gagan Sidhu is a scholar working on Cognitive Neuroscience, Pediatrics, Perinatology and Child Health and Urology. According to data from OpenAlex, Gagan Sidhu has authored 4 papers receiving a total of 330 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Cognitive Neuroscience, 1 paper in Pediatrics, Perinatology and Child Health and 1 paper in Urology. Recurrent topics in Gagan Sidhu's work include Functional Brain Connectivity Studies (3 papers), EEG and Brain-Computer Interfaces (3 papers) and Urinary Tract Infections Management (1 paper). Gagan Sidhu is often cited by papers focused on Functional Brain Connectivity Studies (3 papers), EEG and Brain-Computer Interfaces (3 papers) and Urinary Tract Infections Management (1 paper). Gagan Sidhu collaborates with scholars based in Canada. Gagan Sidhu's co-authors include Joseph Beyene, Norman D. Rosenblum, Nasimeh Asgarian, Matthew Brown, Russell Greiner, Peter H. Silverstone, Serdar Dursun and Andrew J. Greenshaw and has published in prestigious journals such as Pediatric Nephrology, Frontiers in Systems Neuroscience and Data Archiving and Networked Services (DANS).

In The Last Decade

Gagan Sidhu

3 papers receiving 316 citations

Peers

Gagan Sidhu
Bethany L. Sussman United States
Saskia Semmlack Switzerland
Ninah Koolen Belgium
Sonia Sharma United States
Yoo Jin Lee South Korea
Bethany L. Sussman United States
Gagan Sidhu
Citations per year, relative to Gagan Sidhu Gagan Sidhu (= 1×) peers Bethany L. Sussman

Countries citing papers authored by Gagan Sidhu

Since Specialization
Citations

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

Fields of papers citing papers by Gagan Sidhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gagan Sidhu

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

All Works

4 of 4 papers shown
1.
Sidhu, Gagan. (2018). COBRE dataset (Locally Linear Embedding and fMRI feature selection for psychiatric classification). Data Archiving and Networked Services (DANS). 1.
2.
Brown, Matthew, Gagan Sidhu, Russell Greiner, et al.. (2012). ADHD-200 Global Competition: diagnosing ADHD using personal characteristic data can outperform resting state fMRI measurements. Frontiers in Systems Neuroscience. 6. 69–69. 128 indexed citations
3.
Sidhu, Gagan, Nasimeh Asgarian, Russell Greiner, & Matthew Brown. (2012). Kernel Principal Component Analysis for dimensionality reduction in fMRI-based diagnosis of ADHD. Frontiers in Systems Neuroscience. 6. 74–74. 64 indexed citations
4.
Sidhu, Gagan, Joseph Beyene, & Norman D. Rosenblum. (2005). Outcome of isolated antenatal hydronephrosis: a systematic review and meta-analysis. Pediatric Nephrology. 21(2). 218–224. 138 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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