Kaustubh Kulkarni

1.3k total citations · 1 hit paper
18 papers, 667 citations indexed

About

Kaustubh Kulkarni is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Experimental and Cognitive Psychology. According to data from OpenAlex, Kaustubh Kulkarni has authored 18 papers receiving a total of 667 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cognitive Neuroscience, 5 papers in Artificial Intelligence and 5 papers in Experimental and Cognitive Psychology. Recurrent topics in Kaustubh Kulkarni's work include Functional Brain Connectivity Studies (7 papers), Neural dynamics and brain function (4 papers) and Human Pose and Action Recognition (3 papers). Kaustubh Kulkarni is often cited by papers focused on Functional Brain Connectivity Studies (7 papers), Neural dynamics and brain function (4 papers) and Human Pose and Action Recognition (3 papers). Kaustubh Kulkarni collaborates with scholars based in United States, South Korea and Denmark. Kaustubh Kulkarni's co-authors include Michael W. Cole, Alan Anticevic, Jie Lisa Ji, Marjolein Spronk, Grega Repovš, Takuya Ito, Richard H. Chen, Ravi D. Mill, Douglas H. Schultz and Sérgio Escalera and has published in prestigious journals such as Nature Communications, Nature Neuroscience and PLoS ONE.

In The Last Decade

Kaustubh Kulkarni

18 papers receiving 659 citations

Hit Papers

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What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Mapping the human brain's cortical-subcortical functional network organization

2018 338 citations Jie Lisa Ji, Marjolein Spronk et al. NeuroImage profile →

Peers

Countries citing papers authored by Kaustubh Kulkarni

Since Specialization

Citations

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

Fields of papers citing papers by Kaustubh Kulkarni

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaustubh Kulkarni

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

All Works

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18 of 18 papers shown

#	Work	Indexed citations
1	Spatial Craving Patterns in Marijuana Users: Insights From fMRI Brain Connectivity Analysis With High-Order Graph Attention Neural Networks 2024 ·IEEE Journal of Biomedical and Health Informatics ·(unknown), (unknown), Anna Zilverstand, Kaustubh Kulkarni, Xiaosi Gu, Feng Liu	1
2	Longing to act: Bayesian inference as a framework for craving in behavioral addiction 2023 ·Addictive Behaviors ·Kaustubh Kulkarni, (unknown), Xiaosi Gu	4
3	Neural patterns differentiate traumatic from sad autobiographical memories in PTSD 2023 ·Nature Neuroscience ·Ofer Perl, Or Duek, Kaustubh Kulkarni, Charles Gordon, John H. Krystal, Ifat Levy, Ilan Harpaz‐Rotem, Daniela Schiller	18
4	An Interpretable and Predictive Connectivity-Based Neural Signature for Chronic Cannabis Use 2022 ·Biological Psychiatry Cognitive Neuroscience and Neuroimaging ·Kaustubh Kulkarni, (unknown), Laura A. Berner, Vincenzo G. Fiore, (unknown), Kent E. Hutchison, Vince D. Calhoun, Francesca M. Filbey, Gaurav Pandey, Daniela Schiller, Xiaosi Gu	9
5	Emotional adaptation during a crisis: decline in anxiety and depression after the initial weeks of COVID-19 in the United States 2021 ·Translational Psychiatry ·(unknown), (unknown), Yi Luo, Laura A. Berner, Ofer Perl, (unknown), Kaustubh Kulkarni, Dongil Chung, (unknown), Vincenzo G. Fiore, Xiaosi Gu	26
6	Containment of COVID-19: Simulating the impact of different policies and testing capacities for contact tracing, testing, and isolation 2021 ·PLoS ONE ·Vincenzo G. Fiore, Nicholas DeFelice, Benjamin S. Glicksberg, Ofer Perl, (unknown), Kaustubh Kulkarni, (unknown), M. Andrea Pisauro, Dongil Chung, Xiaosi Gu	15
7	A Whole-Brain and Cross-Diagnostic Perspective on Functional Brain Network Dysfunction 2020 ·Cerebral Cortex ·Marjolein Spronk, Brian P. Keane, Takuya Ito, Kaustubh Kulkarni, Jie Lisa Ji, Alan Anticevic, Michael W. Cole	23
8	Emotional Adaptation During a Crisis: Decline in Anxiety and Depression after the Initial Weeks of COVID-19 in the United States 2020 ·SSRN Electronic Journal ·(unknown), (unknown), Yi Luo, (unknown), Dongil Chung, (unknown), Ofer Perl, Kaustubh Kulkarni, Vincenzo G. Fiore, Xiaosi Gu	1
9	Back‐dropout transfer learning for action recognition 2018 ·IET Computer Vision ·(unknown), Nattiya Kanhabua, Andreas Møgelmose, Weifeng Liu, Kaustubh Kulkarni, Sérgio Escalera, Xavier Baró, Thomas B. Moeslund	6
10	Mapping the human brain's cortical-subcortical functional network organization breakdown → 2018 ·NeuroImage ·Jie Lisa Ji, Marjolein Spronk, Kaustubh Kulkarni, Grega Repovš, Alan Anticevic, Michael W. Cole	338
11	The Human Brain Traverses a Common Activation-Pattern State Space Across Task and Rest 2018 ·Brain Connectivity ·Richard H. Chen, Takuya Ito, Kaustubh Kulkarni, Michael W. Cole	12
12	Deep Multimodal Pain Recognition: A Database and Comparison of Spatio-Temporal Visual Modalities 2018 ·VBN Forskningsportal (Aalborg Universitet) ·Mohammad A. Haque, (unknown), Fatemeh Noroozi, Kaustubh Kulkarni, (unknown), (unknown), (unknown), Sérgio Escalera, (unknown), Kamal Nasrollahi, Ole Kæseler Andersen, Erika G. Spaich, Thomas B. Moeslund	53
13	Cognitive task information is transferred between brain regions via resting-state network topology 2017 ·Nature Communications ·Takuya Ito, Kaustubh Kulkarni, Douglas H. Schultz, Ravi D. Mill, Richard H. Chen, (unknown), Michael W. Cole	121
14	Automatic Recognition of Deceptive Facial Expressions of Emotion. 2017 ·arXiv (Cornell University) ·(unknown), Kaustubh Kulkarni, Ciprian Corneanu, Sérgio Escalera, Xavier Baró, Sylwia Hyniewska, Jüri Allïk, Gholamreza Anbarjafari	11
15	Dual Constrained Question Embeddings with Relational Knowledge Bases for Simple Question Answering 2017 ·International Joint Conference on Natural Language Processing ·Kaustubh Kulkarni, (unknown), (unknown), Sumio Fujita	1
16	Unsupervised alignment of actions in video with text descriptions 2016 ·International Joint Conference on Artificial Intelligence ·(unknown), Iftekhar Naim, Abdullah Al Mamun, Kaustubh Kulkarni, Parag Singla, Jiebo Luo, Daniel Gildea, Henry Kautz	18
17	Acoustic modeling by phoneme templates and modified one-pass DP decoding for continuous speech recognition 2008 ·Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing ·V. Ramasubramanian, Kaustubh Kulkarni, (unknown)	8
18	Accented Indian english ASR: Some early results 2008 ·Kaustubh Kulkarni, (unknown), V. Ramasubramanian, Josef G. Bauer, Georg Stemmer	2

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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