D. Rangaprakash

1.7k total citations
54 papers, 1.1k citations indexed

About

D. Rangaprakash is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Clinical Psychology. According to data from OpenAlex, D. Rangaprakash has authored 54 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Cognitive Neuroscience, 14 papers in Radiology, Nuclear Medicine and Imaging and 9 papers in Clinical Psychology. Recurrent topics in D. Rangaprakash's work include Functional Brain Connectivity Studies (37 papers), Neural dynamics and brain function (12 papers) and Advanced MRI Techniques and Applications (11 papers). D. Rangaprakash is often cited by papers focused on Functional Brain Connectivity Studies (37 papers), Neural dynamics and brain function (12 papers) and Advanced MRI Techniques and Applications (11 papers). D. Rangaprakash collaborates with scholars based in United States, India and China. D. Rangaprakash's co-authors include Gopikrishna Deshpande, Thomas S. Denney, Michael N. Dretsch, Jeffrey S. Katz, Xiaoping Hu, Bogdan M. Wilamowski, Peng Wang, D. Narayana Dutt, N. Pradhan and Daniele Marinazzo and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Magnetic Resonance in Medicine.

In The Last Decade

D. Rangaprakash

54 papers receiving 1.1k 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. Rangaprakash United States 19 767 267 166 146 102 54 1.1k
Bin Jing China 18 580 0.8× 270 1.0× 131 0.8× 196 1.3× 31 0.3× 66 1.1k
Victor M. Vergara United States 20 885 1.2× 429 1.6× 216 1.3× 144 1.0× 58 0.6× 71 1.3k
Karthik Sreenivasan United States 17 524 0.7× 208 0.8× 131 0.8× 102 0.7× 55 0.5× 34 808
Andrew Reid Germany 22 1.2k 1.6× 519 1.9× 204 1.2× 240 1.6× 57 0.6× 36 1.7k
Tibor Auer United Kingdom 16 948 1.2× 366 1.4× 107 0.6× 191 1.3× 51 0.5× 51 1.3k
Laura Marzetti Italy 25 2.5k 3.3× 443 1.7× 221 1.3× 112 0.8× 123 1.2× 75 2.8k
Sandra Vieira United Kingdom 13 548 0.7× 307 1.1× 147 0.9× 247 1.7× 55 0.5× 20 1.0k
Mark Fiecas United States 19 570 0.7× 246 0.9× 190 1.1× 141 1.0× 125 1.2× 76 1.1k
Ross Blair United States 6 1.6k 2.0× 440 1.6× 368 2.2× 241 1.7× 144 1.4× 12 2.0k
Michael Waskom United States 11 1.4k 1.8× 388 1.5× 411 2.5× 188 1.3× 112 1.1× 15 2.0k

Countries citing papers authored by D. Rangaprakash

Since Specialization
Citations

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

Fields of papers citing papers by D. Rangaprakash

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of D. Rangaprakash. A scholar is included among the top collaborators of D. Rangaprakash 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. Rangaprakash. D. Rangaprakash 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.
Rangaprakash, D., et al.. (2024). Resting state neurophysiology of agonist–antagonist myoneural interface in persons with transtibial amputation. Scientific Reports. 14(1). 13456–13456. 3 indexed citations
2.
Rangaprakash, D., Robert Barry, & Gopikrishna Deshpande. (2023). The confound of hemodynamic response function variability in human resting-state functional MRI studies. Frontiers in Neuroscience. 17. 934138–934138. 5 indexed citations
3.
Gilbert, Kyle M., Daniel S. Papp, D. Rangaprakash, et al.. (2023). An 8‐channel Tx dipole and 20‐channel Rx loop coil array for MRI of the cervical spinal cord at 7 Tesla. NMR in Biomedicine. 36(11). e5002–e5002. 5 indexed citations
4.
Wong, Wan-wa, et al.. (2022). Neural and behavioral effects of modification of visual attention in body dysmorphic disorder. Translational Psychiatry. 12(1). 325–325. 7 indexed citations
5.
Wong, Wan-wa, D. Rangaprakash, Teena D. Moody, & Jamie D. Feusner. (2022). Dynamic Effective Connectivity Patterns During Rapid Face Stimuli Presentation in Body Dysmorphic Disorder. Frontiers in Neuroscience. 16. 890424–890424. 3 indexed citations
6.
Ingalhalikar, Madhura, et al.. (2021). Functional Connectivity-Based Prediction of Autism on Site Harmonized ABIDE Dataset. IEEE Transactions on Biomedical Engineering. 68(12). 3628–3637. 60 indexed citations
7.
Rangaprakash, D., Akila Weerasekera, Peter James, et al.. (2021). Magnetic resonance imaging and spectroscopy in late-onset GM2-gangliosidosis. Molecular Genetics and Metabolism. 133(4). 386–396. 10 indexed citations
8.
Rangaprakash, D., et al.. (2020). MALINI (Machine Learning in NeuroImaging): A MATLAB toolbox for aiding clinical diagnostics using resting-state fMRI data. SHILAP Revista de lepidopterología. 29. 105213–105213. 15 indexed citations
9.
Rangaprakash, D., et al.. (2020). Density-based clustering of static and dynamic functional MRI connectivity features obtained from subjects with cognitive impairment. Brain Informatics. 7(1). 19–19. 11 indexed citations
10.
Rangaprakash, D., Michael N. Dretsch, Jeffrey S. Katz, Thomas S. Denney, & Gopikrishna Deshpande. (2019). Dynamics of Segregation and Integration in Directional Brain Networks: Illustration in Soldiers With PTSD and Neurotrauma. Frontiers in Neuroscience. 13. 803–803. 26 indexed citations
11.
Rangaprakash, D., et al.. (2019). Supervised machine learning for diagnostic classification from large-scale neuroimaging datasets. Brain Imaging and Behavior. 14(6). 2378–2416. 57 indexed citations
12.
Yang, Zhi, D. Rangaprakash, Xiaoping Hu, et al.. (2019). DisConICA: a Software Package for Assessing Reproducibility of Brain Networks and their Discriminability across Disorders. Neuroinformatics. 18(1). 87–107. 2 indexed citations
13.
Wheelock, Muriah D., D. Rangaprakash, Nathaniel G. Harnett, et al.. (2018). Psychosocial stress reactivity is associated with decreased whole-brain network efficiency and increased amygdala centrality.. Behavioral Neuroscience. 132(6). 561–572. 25 indexed citations
14.
Rangaprakash, D., et al.. (2018). Identifying neuropsychiatric disorders using unsupervised clustering methods: Data and code. Data in Brief. 22. 570–573. 10 indexed citations
15.
Rangaprakash, D., Cara Bohon, Katherine E. Lawrence, et al.. (2018). Aberrant Dynamic Connectivity for Fear Processing in Anorexia Nervosa and Body Dysmorphic Disorder. Frontiers in Psychiatry. 9. 273–273. 16 indexed citations
16.
Rangaprakash, D., Guo‐Rong Wu, Daniele Marinazzo, Xiaoping Hu, & Gopikrishna Deshpande. (2018). Parameterized hemodynamic response function data of healthy individuals obtained from resting-state functional MRI in a 7T MRI scanner. Data in Brief. 17. 1175–1179. 10 indexed citations
17.
Palaniyappan, Lena, Gopikrishna Deshpande, D. Rangaprakash, et al.. (2018). Effective connectivity within a triple network brain system discriminates schizophrenia spectrum disorders from psychotic bipolar disorder at the single-subject level. Schizophrenia Research. 214. 24–33. 41 indexed citations
18.
Feusner, Jamie D., D. Rangaprakash, & Michael Strober. (2017). A translational neuroscience approach to body image disturbance and its remediation in anorexia nervosa. International Journal of Eating Disorders. 50(9). 1014–1017. 12 indexed citations
19.
Deshpande, Gopikrishna, D. Rangaprakash, Luke Oeding, Andrzej Cichocki, & Xiaoping Hu. (2017). A New Generation of Brain-Computer Interfaces Driven by Discovery of Latent EEG-fMRI Linkages Using Tensor Decomposition. Frontiers in Neuroscience. 11. 246–246. 20 indexed citations
20.
Rangaprakash, D.. (2013). Connectivity analysis of multichannel EEG signals using recurrence based phase synchronization technique. Computers in Biology and Medicine. 46. 11–21. 19 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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