D. Nandagopal

529 total citations
39 papers, 309 citations indexed

About

D. Nandagopal is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, D. Nandagopal has authored 39 papers receiving a total of 309 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Cognitive Neuroscience, 8 papers in Artificial Intelligence and 6 papers in Aerospace Engineering. Recurrent topics in D. Nandagopal's work include Neural dynamics and brain function (13 papers), EEG and Brain-Computer Interfaces (11 papers) and Functional Brain Connectivity Studies (11 papers). D. Nandagopal is often cited by papers focused on Neural dynamics and brain function (13 papers), EEG and Brain-Computer Interfaces (11 papers) and Functional Brain Connectivity Studies (11 papers). D. Nandagopal collaborates with scholars based in Australia, India and United States. D. Nandagopal's co-authors include Vijayalakshmi Ramasamy, M. M. AL-QATTAN, Joonas Pitkänen, Aamir Saeed Malik, Mohamad Naufal Mohamad Saad, Ahmad Rauf Subhani, Kenneth Kang, Nidal Kamel, Jia Tina Du and R. Nadarajan and has published in prestigious journals such as Neurocomputing, Journal of Neural Engineering and Journal of Hand Surgery (European Volume).

In The Last Decade

D. Nandagopal

35 papers receiving 295 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
D. Nandagopal Australia 10 139 48 38 37 34 39 309
Jukka‐Pekka Kauppi Finland 13 165 1.2× 3 0.1× 26 0.7× 53 1.4× 22 0.6× 23 428
Tatsuya Suzuki Japan 11 87 0.6× 43 1.1× 15 0.4× 17 0.5× 42 385
David W. Clifton Bulgaria 2 133 1.0× 19 0.5× 27 0.7× 57 1.7× 3 424
Ao Li China 11 75 0.5× 46 1.2× 30 0.8× 66 1.9× 50 318
Euan Murugasu Singapore 6 268 1.9× 5 0.1× 36 0.9× 7 0.2× 3 0.1× 10 549
Manqing Wang China 10 105 0.8× 9 0.2× 52 1.4× 22 0.6× 25 277
Esther Ibáñez‐Marcelo Italy 6 111 0.8× 19 0.5× 18 0.5× 11 0.3× 9 282
Georgios Ν. Dimitrakopoulos Greece 13 334 2.4× 73 1.9× 119 3.2× 106 3.1× 49 634
ML Akin Türkiye 6 228 1.6× 1 0.0× 39 1.0× 43 1.2× 45 1.3× 7 366
Jing Lv China 9 109 0.8× 3 0.1× 11 0.3× 31 0.8× 7 0.2× 43 338

Countries citing papers authored by D. Nandagopal

Since Specialization
Citations

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

Fields of papers citing papers by D. Nandagopal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. Nandagopal

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

All Works

20 of 20 papers shown
1.
Krishnan, Sowmya Ramaswamy, et al.. (2024). Suitability of large language models for extraction of high-quality chemical reaction dataset from patent literature. Journal of Cheminformatics. 16(1). 131–131. 6 indexed citations
2.
Nandagopal, D., et al.. (2021). Effect of aerobic and anaerobic exercise programme on selected physical fitness components among college women. International Journal of Physical Education Sports and Health. 8(2). 157–163. 1 indexed citations
3.
Nandagopal, D., et al.. (2021). Physical fitness components response to the influence of different physical activities among school girls. International Journal of Physical Education Sports and Health. 8(2). 167–172.
4.
5.
Ramasamy, Vijayalakshmi, et al.. (2018). Shortest path based network analysis to characterize cognitive load states of human brain using EEG based functional brain networks. Journal of Integrative Neuroscience. 17(2). 133–148. 5 indexed citations
6.
Subhani, Ahmad Rauf, Nidal Kamel, Mohamad Naufal Mohamad Saad, et al.. (2017). Mitigation of stress: new treatment alternatives. Cognitive Neurodynamics. 12(1). 1–20. 43 indexed citations
7.
Ramasamy, Vijayalakshmi, et al.. (2017). A Novel Feature Extraction Algorithm for IED Detection from 2-D Images using Minimum Connected Components. Procedia Computer Science. 114. 507–514. 1 indexed citations
8.
Subhani, Ahmad Rauf, et al.. (2017). MRMR based feature selection for the classification of stress using EEG. 1–4. 14 indexed citations
9.
Ramasamy, Vijayalakshmi, et al.. (2016). A novel pattern mining approach for identifying cognitive activity in EEG based functional brain networks. Journal of Integrative Neuroscience. 15(2). 223–245. 6 indexed citations
10.
Nandagopal, D., et al.. (2016). Directed Connectivity Analysis of Functional Brain Networks during Cognitive Activity Using Transfer Entropy. Neural Processing Letters. 45(3). 807–824. 25 indexed citations
11.
Nandagopal, D., et al.. (2015). Moment to moment variability in functional brain networks during cognitive activity in EEG data. Journal of Integrative Neuroscience. 14(3). 383–402. 4 indexed citations
12.
Ramasamy, Vijayalakshmi, et al.. (2015). A heuristic branch-and-bound based thresholding algorithm for unveiling cognitive activity from EEG data. Neurocomputing. 170. 32–46. 7 indexed citations
13.
Subhani, Ahmad Rauf, Aamir Saeed Malik, Nidal Kamel, Mohamad Naufal Mohamad Saad, & D. Nandagopal. (2015). Experimental evidence for the effects of the Demand-Control model on the cognitive arousal: An EEG based study. PubMed. 2015. 6038–6041.
14.
Cameron, Alexander M., Markus Stumptner, D. Nandagopal, Wolfgang Mayer, & Todd Mansell. (2014). Rule-based peer-to-peer framework for decentralised real-time service oriented architectures. Science of Computer Programming. 97. 202–234. 9 indexed citations
15.
Nandagopal, D., et al.. (2014). TVAR modeling of EEG to detect audio distraction during simulated driving. Journal of Neural Engineering. 11(3). 36012–36012. 12 indexed citations
16.
Ramasamy, Vijayalakshmi, et al.. (2014). Change Detection and Visualization of Functional Brain Networks using EEG Data. Procedia Computer Science. 29. 672–682. 7 indexed citations
17.
Nandagopal, D., et al.. (2014). Towards a Cognitive Metric using Normalized Transfer Entropy. 2 indexed citations
18.
Cameron, Alexander M., Markus Stumptner, D. Nandagopal, Wolfgang Mayer, & Todd Mansell. (2013). Performance analysis of a rule-based SOA component for real-time applications. 1877–1884. 1 indexed citations
19.
Nandagopal, D., et al.. (2013). Breaking the Camel's Back: Can Cognitive Overload be Quantified in the Human Brain?. Procedia - Social and Behavioral Sciences. 97. 21–29. 10 indexed citations
20.
Nandagopal, D., et al.. (1992). Radar target recognition using multilayer back propagation neural network (MLBPN). 422–425. 1 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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