Vaibhav Tripathi

605 total citations
24 papers, 242 citations indexed

About

Vaibhav Tripathi is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Experimental and Cognitive Psychology. According to data from OpenAlex, Vaibhav Tripathi has authored 24 papers receiving a total of 242 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cognitive Neuroscience, 7 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Experimental and Cognitive Psychology. Recurrent topics in Vaibhav Tripathi's work include Functional Brain Connectivity Studies (10 papers), Neural dynamics and brain function (5 papers) and EEG and Brain-Computer Interfaces (5 papers). Vaibhav Tripathi is often cited by papers focused on Functional Brain Connectivity Studies (10 papers), Neural dynamics and brain function (5 papers) and EEG and Brain-Computer Interfaces (5 papers). Vaibhav Tripathi collaborates with scholars based in United States, India and Australia. Vaibhav Tripathi's co-authors include Mark Carman, Aditya Joshi, Pushpak Bhattacharyya, Pallavi Bharadwaj, David C. Somers, Manas Ranjan Prusty, Mohit Prakash Mohanty, Rahul Garg, Kathryn J. Devaney and Sara W. Lazar and has published in prestigious journals such as Neuron, NeuroImage and Journal of Neurophysiology.

In The Last Decade

Vaibhav Tripathi

22 papers receiving 228 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vaibhav Tripathi United States 8 136 44 32 32 23 24 242
Jinyeong Yim South Korea 6 86 0.6× 34 0.8× 12 0.4× 38 1.2× 55 2.4× 9 224
Brian Stasak Australia 11 105 0.8× 27 0.6× 20 0.6× 204 6.4× 24 1.0× 14 296
Jayanth Koushik United States 5 119 0.9× 22 0.5× 9 0.3× 64 2.0× 55 2.4× 6 233
Carla Lopes Portugal 6 149 1.1× 30 0.7× 19 0.6× 89 2.8× 17 0.7× 16 352
Javid Dadashkarimi United States 7 39 0.3× 126 2.9× 23 0.7× 55 1.7× 15 0.7× 17 212
Paul J. Moore United Kingdom 8 48 0.4× 18 0.4× 7 0.2× 46 1.4× 5 0.2× 11 230
Sebastian Moeller Germany 8 25 0.2× 14 0.3× 26 0.8× 11 0.3× 32 1.4× 26 147
Aparna Balagopalan Canada 8 98 0.7× 29 0.7× 7 0.2× 19 0.6× 3 0.1× 11 200
Dávid Sztahó Hungary 10 105 0.8× 12 0.3× 11 0.3× 69 2.2× 7 0.3× 33 217
Julian D. Karch Netherlands 9 12 0.1× 42 1.0× 21 0.7× 32 1.0× 4 0.2× 17 191

Countries citing papers authored by Vaibhav Tripathi

Since Specialization
Citations

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

Fields of papers citing papers by Vaibhav Tripathi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vaibhav Tripathi

This figure shows the co-authorship network connecting the top 25 collaborators of Vaibhav Tripathi. A scholar is included among the top collaborators of Vaibhav Tripathi 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 Vaibhav Tripathi. Vaibhav Tripathi 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.
Tripathi, Vaibhav, Tor D. Wager, Susan Whitfield‐Gabrieli, et al.. (2025). Default Mode Network Functional Connectivity As a Transdiagnostic Biomarker of Cognitive Function. Biological Psychiatry Cognitive Neuroscience and Neuroimaging. 10(4). 359–368. 3 indexed citations
2.
Kosakowski, Heather L., Jingnan Du, Vaibhav Tripathi, Mark C. Eldaief, & Randy L. Buckner. (2025). Ventral striatum is preferentially correlated with the salience network including regions in dorsolateral prefrontal cortex. Journal of Neurophysiology. 134(1). 193–215. 3 indexed citations
3.
Tripathi, Vaibhav, Joshua T. Fox‐Fuller, Ana Baena, et al.. (2025). Connectome‐based predictive modeling of brain pathology and cognition in autosomal dominant Alzheimer's disease. Alzheimer s & Dementia. 21(3). e70061–e70061. 1 indexed citations
4.
Du, Jingnan, Vaibhav Tripathi, Maxwell L. Elliott, et al.. (2025). Within-individual precision mapping of brain networks exclusively using task data. Neuron. 113(23). 4069–4083.e6. 1 indexed citations
5.
Tripathi, Vaibhav, et al.. (2025). Unlocking deep relaxation: the power of rhythmic breathing on brain rhythms. PubMed. 4(1). 39–39.
6.
Alam, Mahbubul, Vaibhav Tripathi, Chintan Bhatt, & Mohit Prakash Mohanty. (2025). A novel framework embedding Bayesian-optimized ensemble machine learning and explainable artificial intelligence (XAI) to improve flood prediction in complex watersheds. Environmental and Sustainability Indicators. 27. 100760–100760. 1 indexed citations
7.
Tripathi, Vaibhav & Mohit Prakash Mohanty. (2024). Can geomorphic flood descriptors coupled with machine learning models enhance in quantifying flood risks over data-scarce catchments? Development of a hybrid framework for Ganga basin (India). Environmental Science and Pollution Research. 32(59). 31475–31494. 9 indexed citations
8.
Tripathi, Vaibhav, et al.. (2024). Functional connectivity changes in meditators and novices during yoga nidra practice. Scientific Reports. 14(1). 12957–12957. 7 indexed citations
9.
Prakash, Ruchika Shaurya, Vaibhav Tripathi, Winson Fu Zun Yang, et al.. (2024). Mindfulness Meditation and Network Neuroscience: Review, Synthesis, and Future Directions. Biological Psychiatry Cognitive Neuroscience and Neuroimaging. 10(4). 350–358. 6 indexed citations
10.
Tripathi, Vaibhav, Kathryn J. Devaney, Sara W. Lazar, & David C. Somers. (2024). Silence Practice Modulates the Resting State Functional Connectivity of Language Network with Default Mode and Dorsal Attention Networks in Long-Term Meditators. Mindfulness. 15(3). 665–674. 4 indexed citations
11.
Beeler, David, Yuanyuan Gao, Vaibhav Tripathi, et al.. (2023). Observability of Visual Working Memory Brain Circuitry With Functional Near-Infrared Spectroscopy. Journal of Vision. 23(9). 5841–5841.
12.
Tripathi, Vaibhav & David C. Somers. (2023). Predicting an individual's cerebellar activity from functional connectivity fingerprints. NeuroImage. 281. 120360–120360. 3 indexed citations
13.
Tripathi, Vaibhav & Rahul Garg. (2022). Weak task synchronization of default mode network in task based paradigms. NeuroImage. 251. 118940–118940. 5 indexed citations
14.
Tripathi, Vaibhav & Pallavi Bharadwaj. (2021). Neuroscience of the yogic theory of consciousness. Neuroscience of Consciousness. 2021(2). niab030–niab030. 10 indexed citations
15.
Devaney, Kathryn J., et al.. (2021). Attention and Default Mode Network Assessments of Meditation Experience during Active Cognition and Rest. Brain Sciences. 11(5). 566–566. 12 indexed citations
16.
Prusty, Manas Ranjan, et al.. (2021). A novel data augmentation approach for mask detection using deep transfer learning. Intelligence-Based Medicine. 5. 100037–100037. 14 indexed citations
17.
Tripathi, Vaibhav, et al.. (2020). High-frequency cerebral activation and interhemispheric synchronization following sudarshan kriya yoga as global brain rhythms: The state effects. International Journal of Yoga. 13(2). 130–130. 13 indexed citations
18.
Joshi, Aditya, Vaibhav Tripathi, Pushpak Bhattacharyya, & Mark Carman. (2016). Harnessing Sequence Labeling for Sarcasm Detection in Dialogue from TV Series `Friends'. 146–155. 39 indexed citations
19.
Joshi, Aditya, Vaibhav Tripathi, Ravindra Soni, Pushpak Bhattacharyya, & Mark Carman. (2016). EmoGram: An Open-Source Time Sequence-Based Emotion Tracker and Its Innovative Applications. National Conference on Artificial Intelligence. 512–516. 8 indexed citations
20.
Joshi, Aditya, et al.. (2016). Are Word Embedding-based Features Useful for Sarcasm Detection?. 1006–1011. 94 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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