Cota Navin Gupta

1.2k total citations
44 papers, 663 citations indexed

About

Cota Navin Gupta is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Signal Processing. According to data from OpenAlex, Cota Navin Gupta has authored 44 papers receiving a total of 663 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Cognitive Neuroscience, 11 papers in Radiology, Nuclear Medicine and Imaging and 9 papers in Signal Processing. Recurrent topics in Cota Navin Gupta's work include EEG and Brain-Computer Interfaces (19 papers), Functional Brain Connectivity Studies (14 papers) and Neural dynamics and brain function (9 papers). Cota Navin Gupta is often cited by papers focused on EEG and Brain-Computer Interfaces (19 papers), Functional Brain Connectivity Studies (14 papers) and Neural dynamics and brain function (9 papers). Cota Navin Gupta collaborates with scholars based in India, United States and United Kingdom. Cota Navin Gupta's co-authors include Ramaswamy Palaniappan, Shankar Krishnan, Sundaram Swaminathan, Vince D. Calhoun, Jessica A. Turner, Alejandro Arias Vásquez, Marcel P. Zwiers, Jiayu Chen, Jingyu Liu and Barbara Franke and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Experimental Brain Research.

In The Last Decade

Cota Navin Gupta

40 papers receiving 639 citations

Peers

Cota Navin Gupta

PRM

CCM

RNMI

Sebastian Stober Germany

Matteo Fraschini Italy

Ruobing Qian China

Filip Plešinger Czechia

Yuhu Shi China

G.J. Carroll New Zealand

Yongqiang Li China

Eva Janoušová Czechia

John Gade Denmark

Xingwei An China

Sebastian Stober Germany

Cota Navin Gupta

349 ×1.2

57 ×0.2

PRM

39 ×0.3

CCM

71 ×0.6

RNMI

157 ×1.4

Citations per year, relative to Cota Navin Gupta Cota Navin Gupta (= 1×) peers Sebastian Stober

Countries citing papers authored by Cota Navin Gupta

Since Specialization

Citations

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

Fields of papers citing papers by Cota Navin Gupta

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cota Navin Gupta. 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 Cota Navin Gupta. The network helps show where Cota Navin Gupta may publish in the future.

Co-authorship network of co-authors of Cota Navin Gupta

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

All Works

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20 of 20 papers shown

Ransing, Ramdas, et al.. (2025). Eye State Prediction on Android Devices using Machine Learning for Natural Environment Electroencephalogram Applications. PubMed. 2025. 1–7.

Saini, Jitender, et al.. (2024). Brain connectivity for subtypes of parkinson’s disease using structural MRI. Biomedical Physics & Engineering Express. 10(2). 25012–25012. 5 indexed citations

Ransing, Ramdas, et al.. (2024). Dynamical Embedding of Single-Channel Electroencephalogram for Artifact Subspace Reconstruction. Sensors. 24(20). 6734–6734. 1 indexed citations

Gupta, Cota Navin, et al.. (2024). Understanding effects of observing affordance-driven action during motor imagery through EEG analysis. Experimental Brain Research. 242(10). 2473–2485. 1 indexed citations

Gupta, Cota Navin, et al.. (2024). Real-time dynamic analysis of EEG Response for Live Indian Classical Vocal Stimulus with Therapeutic Indications. Smart Health. 32. 100461–100461. 1 indexed citations

Gupta, Cota Navin, et al.. (2024). Systematic review of experimental paradigms and deep neural networks for electroencephalography-based cognitive workload detection. PubMed. 6(4). 42004–42004. 2 indexed citations

Saini, Jitender, et al.. (2023). Unique Brain Network Identification Number for Parkinson’s and Healthy Individuals Using Structural MRI. Brain Sciences. 13(9). 1297–1297. 2 indexed citations

Gupta, Cota Navin, et al.. (2023). CameraEEG: Synchronous Recording of Electroencephalogram and Video Data for Neuroergonomics Applications. SHILAP Revista de lepidopterología. 46–46. 2 indexed citations

Gupta, Cota Navin, et al.. (2022). Neural Correlates of Motor Imagery during Action Observation in Affordance-based Actions: Preliminary Results. 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). 2022. 4088–4092. 1 indexed citations

10.

Gupta, Cota Navin, Jessica A. Turner, & Vince D. Calhoun. (2019). Source-based morphometry: a decade of covarying structural brain patterns. Brain Structure and Function. 224(9). 3031–3044. 54 indexed citations

11.

Wright, Carrie, Cota Navin Gupta, Veena Patel, et al.. (2016). Polymorphisms in MIR137HG and microRNA-137-regulated genes influence gray matter structure in schizophrenia. Translational Psychiatry. 6(2). e724–e724. 36 indexed citations

12.

Gupta, Cota Navin, Jiayu Chen, Jingyu Liu, et al.. (2015). Genetic markers of white matter integrity in schizophrenia revealed by parallel ICA. Frontiers in Human Neuroscience. 9. 100–100. 9 indexed citations

13.

Patel, Veena, Sinéad Kelly, Carrie Wright, et al.. (2015). MIR137HG risk variant rs1625579 genotype is related to corpus callosum volume in schizophrenia. Neuroscience Letters. 602. 44–49. 18 indexed citations

14.

Bridwell, David A., Cullen Roth, Cota Navin Gupta, & Vince D. Calhoun. (2015). Cortical Response Similarities Predict which Audiovisual Clips Individuals Viewed, but Are Unrelated to Clip Preference. PLoS ONE. 10(6). e0128833–e0128833. 8 indexed citations

15.

Chen, Jiayu, Jingyu Liu, Vince D. Calhoun, et al.. (2014). Exploration of scanning effects in multi-site structural MRI studies. Journal of Neuroscience Methods. 230. 37–50. 77 indexed citations

16.

Roth, Cullen, et al.. (2013). The influence of visuospatial attention on unattended auditory 40 Hz responses. Frontiers in Human Neuroscience. 7. 370–370. 23 indexed citations

17.

Gupta, Cota Navin, et al.. (2010). On the estimation of the solid liquid interfacial energy of glassy alloys as a function of temperature and structure. Transactions of the Indian Institute of Metals. 63(5). 787–791. 1 indexed citations

18.

Palaniappan, Ramaswamy & Cota Navin Gupta. (2006). Genetic algorithm based independent component analysis to separate noise from Electrocardiogram signals. Kent Academic Repository (University of Kent). 34. 1–5. 9 indexed citations

19.

Palaniappan, Ramaswamy, Cota Navin Gupta, & Sreenath M. Krishnan. (2005). Neural Network Classification of Premature Heartbeats. Kent Academic Repository (University of Kent). 1 indexed citations

20.

Gupta, Cota Navin, et al.. (2005). Classification of Homomorphic Segmented Phonocardiogram Signals Using Grow and Learn Network. PubMed. 2005. 4251–4254. 12 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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