Mukesh Dhamala

1.6k total citations
52 papers, 1.1k citations indexed

About

Mukesh Dhamala is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Experimental and Cognitive Psychology. According to data from OpenAlex, Mukesh Dhamala has authored 52 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Cognitive Neuroscience, 11 papers in Radiology, Nuclear Medicine and Imaging and 9 papers in Experimental and Cognitive Psychology. Recurrent topics in Mukesh Dhamala's work include Functional Brain Connectivity Studies (33 papers), Neural dynamics and brain function (30 papers) and EEG and Brain-Computer Interfaces (14 papers). Mukesh Dhamala is often cited by papers focused on Functional Brain Connectivity Studies (33 papers), Neural dynamics and brain function (30 papers) and EEG and Brain-Computer Interfaces (14 papers). Mukesh Dhamala collaborates with scholars based in United States, Switzerland and China. Mukesh Dhamala's co-authors include Bhim M. Adhikari, Ganesh B. Chand, Bidhan Lamichhane, Sahil Bajaj, Andrew J. Butler, Daniel Drake, Charles M. Epstein, Zonghua Liu, Hui Wu and Detlef Heck and has published in prestigious journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Mukesh Dhamala

50 papers receiving 1.1k citations

Peers

Mukesh Dhamala

RNMI

ECP

NEURO

CMN

Laura Marzetti Italy

Juliane Britz Switzerland

Thomas F. Collura United States

Alfred B. Yu United States

Sherry Vorbach United States

Peter T. Bell Australia

Carsten Allefeld Germany

Vadim V. Nikouline Finland

Guiomar Niso Spain

Stavros I. Dimitriadis United Kingdom

Laura Marzetti Italy

Mukesh Dhamala

2.5k ×2.8

443 ×2.8

RNMI

221 ×1.5

ECP

173 ×1.5

NEURO

213 ×1.9

CMN

Citations per year, relative to Mukesh Dhamala Mukesh Dhamala (= 1×) peers Laura Marzetti

Countries citing papers authored by Mukesh Dhamala

Since Specialization

Citations

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

Fields of papers citing papers by Mukesh Dhamala

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mukesh Dhamala

This figure shows the co-authorship network connecting the top 25 collaborators of Mukesh Dhamala. A scholar is included among the top collaborators of Mukesh Dhamala 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 Mukesh Dhamala. Mukesh Dhamala 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

Chen, Jiayu, Tülay Adalı, Peter Kochunov, et al.. (2024). Networks extracted from nonlinear fMRI connectivity exhibit unique spatial variation and enhanced sensitivity to differences between individuals with schizophrenia and controls. Nature Mental Health. 2(12). 1464–1475. 1 indexed citations

Dhamala, Mukesh, et al.. (2023). Granger Geweke Causality reveals information exchange during physical interaction is modulated by task difficulty. Human Movement Science. 92. 103139–103139. 2 indexed citations

Iraji, Armin, Jiayu Chen, Ashkan Faghiri, et al.. (2023). Spatial Dynamic Subspaces Encode Sex-Specific Schizophrenia Disruptions in Transient Network Overlap and Their Links to Genetic Risk. Biological Psychiatry. 96(3). 188–197. 9 indexed citations

Jordan, Timothy R. & Mukesh Dhamala. (2022). Enhanced Dorsal Attention Network to Salience Network Interaction in Video Gamers During Sensorimotor Decision-Making Tasks. Brain Connectivity. 13(2). 97–106. 10 indexed citations

Vergara, Victor M., Martin Norgaard, Robyn L. Miller, et al.. (2021). Functional network connectivity during Jazz improvisation. Scientific Reports. 11(1). 19036–19036. 15 indexed citations

Norgaard, Martin, et al.. (2019). Higher Node Activity with Less Functional Connectivity During Musical Improvisation. Brain Connectivity. 9(3). 296–309. 15 indexed citations

Dhamala, Mukesh, Hualou Liang, Steven L. Bressler, & Mingzhou Ding. (2018). Granger-Geweke causality: Estimation and interpretation. NeuroImage. 175. 460–463. 28 indexed citations

Adhikari, Bhim M., Charles M. Epstein, & Mukesh Dhamala. (2017). Enhanced Brain Network Activity in Complex Movement Rhythms: A Simultaneous Functional Magnetic Resonance Imaging and Electroencephalography Study. Brain Connectivity. 8(2). 68–81. 6 indexed citations

Chand, Ganesh B. & Mukesh Dhamala. (2017). Interactions between the anterior cingulate-insula network and the fronto-parietal network during perceptual decision-making. NeuroImage. 152. 381–389. 34 indexed citations

10.

Bajaj, Sahil, Bhim M. Adhikari, Karl Friston, & Mukesh Dhamala. (2016). Bridging the Gap: Dynamic Causal Modeling and Granger Causality Analysis of Resting State Functional Magnetic Resonance Imaging. Brain Connectivity. 6(8). 652–661. 39 indexed citations

11.

Chand, Ganesh B. & Mukesh Dhamala. (2016). The salience network dynamics in perceptual decision-making. NeuroImage. 134. 85–93. 61 indexed citations

12.

Lamichhane, Bidhan & Mukesh Dhamala. (2015). The Salience Network and Its Functional Architecture in a Perceptual Decision: An Effective Connectivity Study. Brain Connectivity. 5(6). 362–370. 34 indexed citations

13.

Chand, Ganesh B. & Mukesh Dhamala. (2015). Interactions Among the Brain Default-Mode, Salience, and Central-Executive Networks During Perceptual Decision-Making of Moving Dots. Brain Connectivity. 6(3). 249–254. 70 indexed citations

14.

Lamichhane, Bidhan & Mukesh Dhamala. (2015). Perceptual decision-making difficulty modulates feedforward effective connectivity to the dorsolateral prefrontal cortex. Frontiers in Human Neuroscience. 9. 498–498. 11 indexed citations

15.

Lamichhane, Bidhan, Bhim M. Adhikari, Sarah F. Brosnan, & Mukesh Dhamala. (2014). The Neural Basis of Perceived Unfairness in Economic Exchanges. Brain Connectivity. 4(8). 619–630. 19 indexed citations

16.

Sabatinelli, Dean, et al.. (2014). Reduced Medial Prefrontal–Subcortical Connectivity in Dysphoria: Granger Causality Analyses of Rapid Functional Magnetic Resonance Imaging. Brain Connectivity. 5(1). 1–9. 19 indexed citations

17.

Sabatinelli, Dean, et al.. (2014). The timing and directional connectivity of human frontoparietal and ventral visual attention networks in emotional scene perception. Neuroscience. 277. 229–238. 31 indexed citations

18.

Bajaj, Sahil, Bidhan Lamichhane, Bhim M. Adhikari, & Mukesh Dhamala. (2013). Amygdala Mediated Connectivity in Perceptual Decision-Making of Emotional Facial Expressions. Brain Connectivity. 3(4). 386–397. 11 indexed citations

19.

Bajaj, Sahil, Bhim M. Adhikari, & Mukesh Dhamala. (2013). Higher Frequency Network Activity Flow Predicts Lower Frequency Node Activity in Intrinsic Low-Frequency BOLD Fluctuations. PLoS ONE. 8(5). e64466–e64466. 23 indexed citations

20.

Cao, Ying, et al.. (2012). Behavior-Related Pauses in Simple-Spike Activity of Mouse Purkinje Cells Are Linked to Spike Rate Modulation. Journal of Neuroscience. 32(25). 8678–8685. 38 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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