Gowtham Atluri

2.9k total citations · 2 hit papers
35 papers, 1.7k citations indexed

About

Gowtham Atluri is a scholar working on Cognitive Neuroscience, Molecular Biology and Information Systems. According to data from OpenAlex, Gowtham Atluri has authored 35 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cognitive Neuroscience, 9 papers in Molecular Biology and 9 papers in Information Systems. Recurrent topics in Gowtham Atluri's work include Functional Brain Connectivity Studies (10 papers), Data Mining Algorithms and Applications (8 papers) and Advanced Neuroimaging Techniques and Applications (6 papers). Gowtham Atluri is often cited by papers focused on Functional Brain Connectivity Studies (10 papers), Data Mining Algorithms and Applications (8 papers) and Advanced Neuroimaging Techniques and Applications (6 papers). Gowtham Atluri collaborates with scholars based in United States, China and Canada. Gowtham Atluri's co-authors include Vipin Kumar, Anuj Karpatne, Michael Steinbach, Shashi Shekhar, Auroop R. Ganguly, Arindam Banerjee, James H. Faghmous, Kelvin O. Lim, Angus W. MacDonald and Krista Wisner and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Gowtham Atluri

30 papers receiving 1.6k citations

Hit Papers

align trajectories

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.

Theory-Guided Data Science: A New Paradigm for Scientific Discovery from Data

2017 905 citations Anuj Karpatne, Gowtham Atluri et al. IEEE Transactions on Knowledge and Data Engineering profile →
Spatio-Temporal Data Mining

2018 283 citations Gowtham Atluri, Anuj Karpatne et al. profile →

Peers

Gowtham Atluri

AI

MB

EE

CN

GPC

David N. Reshef United States

Zewen Li China

J Figueroa Nazuno Mexico

Andreas W. Kempa-Liehr Germany

Fan Liu China

Lianyang Ma China

Michael W. Trosset United States

Wenjie Yang China

Aritz Pérez Spain

Dian Zhang China

David N. Reshef United States

Gowtham Atluri

508 ×1.6

AI

486 ×2.5

MB

159 ×0.9

EE

112 ×0.7

CN

119 ×0.8

GPC

Citations per year, relative to Gowtham Atluri Gowtham Atluri (= 1×) peers David N. Reshef

Countries citing papers authored by Gowtham Atluri

Since Specialization

Citations

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

Fields of papers citing papers by Gowtham Atluri

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gowtham Atluri

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Tamm, Leanne, Jonathan A. Dudley, Sarah L. Karalunas, et al.. (2025). Exploring the neural basis of reaction time variability in ADHD: The importance of examining data at the trial level. Neuroimage Reports. 5(2). 100263–100263.

2.

Dudley, Jonathan A., Thomas Maloney, John O. Simon, et al.. (2023). ABCD_Harmonizer: An Open-source Tool for Mapping and Controlling for Scanner Induced Variance in the Adolescent Brain Cognitive Development Study. Neuroinformatics. 21(2). 323–337. 7 indexed citations

3.

Epstein, Jeffery N., Sarah L. Karalunas, Leanne Tamm, et al.. (2022). Examining reaction time variability on the stop-signal task in the ABCD study. Journal of the International Neuropsychological Society. 29(5). 492–502. 12 indexed citations

4.

Netoff, Théoden I., et al.. (2022). Evaluation of functional MRI-based human brain parcellation: a review. Journal of Neurophysiology. 128(1). 197–217. 17 indexed citations

5.

Sherenian, Michael G., John Kroner, Gowtham Atluri, et al.. (2021). Sensitization to peanut, egg or pets is associated with skin barrier dysfunction in children with atopic dermatitis. Clinical & Experimental Allergy. 51(5). 666–673. 16 indexed citations

6.

Park, Chihyun, Jean R. Clemenceau, Sara Crawford, et al.. (2021). A spatiotemporal analysis of opioid poisoning mortality in Ohio from 2010 to 2016. Scientific Reports. 11(1). 4692–4692. 4 indexed citations

7.

Netoff, Théoden I., et al.. (2021). A Review on MR Based Human Brain Parcellation Methods. arXiv (Cornell University). 2 indexed citations

8.

Atluri, Gowtham, et al.. (2021). A hierarchical Bayesian approach to regularization with application to the inference of relaxation spectra. Journal of Rheology. 66(1). 125–145. 3 indexed citations

9.

Venkatasubramanian, Meenakshi, Kashish Chetal, Daniel Schnell, Gowtham Atluri, & Nathan Salomonis. (2020). Resolving single-cell heterogeneity from hundreds of thousands of cells through sequential hybrid clustering and NMF. Bioinformatics. 36(12). 3773–3780. 40 indexed citations

10.

Steinbach, Michael, Daniel Boley, Snigdhansu Chatterjee, et al.. (2019). Mining Novel Multivariate Relationships in Time Series Data Using Correlation Networks. IEEE Transactions on Knowledge and Data Engineering. 1–1. 8 indexed citations

11.

McGuire, Jennifer L., Erica A. K. DePasquale, Miki Watanabe, et al.. (2018). Chronic Dysregulation of Cortical and Subcortical Metabolism After Experimental Traumatic Brain Injury. Molecular Neurobiology. 56(4). 2908–2921. 18 indexed citations

12.

Atluri, Gowtham, Anuj Karpatne, William Haltom, et al.. (2017). Tripoles. 697–706. 5 indexed citations

13.

Karpatne, Anuj, Gowtham Atluri, James H. Faghmous, et al.. (2016). Theory-guided Data Science: A New Paradigm for Scientific Discovery.. arXiv (Cornell University). 10 indexed citations

14.

Hovsepian, Karen, Hillol Sarker, Nazir Saleheen, et al.. (2016). mCrave. PubMed. 2016. 863–874. 19 indexed citations

15.

Atluri, Gowtham, et al.. (2015). Tripoles: A New Class of Climate Teleconnections. University of Minnesota Digital Conservancy (University of Minnesota).

16.

Atluri, Gowtham, Gang Fang, Michael Steinbach, et al.. (2013). Complex biomarker discovery in neuroimaging data: Finding a needle in a haystack. NeuroImage Clinical. 3. 123–131. 43 indexed citations

17.

Wisner, Krista, Gowtham Atluri, Kelvin O. Lim, & Angus W. MacDonald. (2013). Neurometrics of intrinsic connectivity networks at rest using fMRI: Retest reliability and cross-validation using a meta-level method. NeuroImage. 76. 236–251. 51 indexed citations

18.

Atluri, Gowtham, Rui Kuang, Vipin Kumar, et al.. (2013). Large-scale integrative network-based analysis identifies common pathways disrupted by copy number alterations across cancers. BMC Genomics. 14(1). 440–440. 20 indexed citations

19.

Atluri, Gowtham, et al.. (2012). Co-clustering phenome–genome for phenotype classification and disease gene discovery. Nucleic Acids Research. 40(19). e146–e146. 52 indexed citations

20.

Bellay, Jeremy, Gowtham Atluri, Kiana Toufighi, et al.. (2011). Putting genetic interactions in context through a global modular decomposition. Genome Research. 21(8). 1375–1387. 45 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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