Rajat M. Thomas

3.3k total citations
36 papers, 1.6k citations indexed

About

Rajat M. Thomas is a scholar working on Astronomy and Astrophysics, Cognitive Neuroscience and Nuclear and High Energy Physics. According to data from OpenAlex, Rajat M. Thomas has authored 36 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Astronomy and Astrophysics, 13 papers in Cognitive Neuroscience and 8 papers in Nuclear and High Energy Physics. Recurrent topics in Rajat M. Thomas's work include Galaxies: Formation, Evolution, Phenomena (12 papers), Radio Astronomy Observations and Technology (12 papers) and Functional Brain Connectivity Studies (11 papers). Rajat M. Thomas is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (12 papers), Radio Astronomy Observations and Technology (12 papers) and Functional Brain Connectivity Studies (11 papers). Rajat M. Thomas collaborates with scholars based in Netherlands, United States and Germany. Rajat M. Thomas's co-authors include Leonardo Cerliani, Christian Keysers, Guido van Wingen, Vibor Jelić, Saleem Zaroubi, M. A. Brentjens, Joop Schaye, S. Yatawatta, G. Bernardi and B. Ciardi and has published in prestigious journals such as PLoS ONE, The Astrophysical Journal and NeuroImage.

In The Last Decade

Rajat M. Thomas

35 papers receiving 1.6k citations

Peers

Rajat M. Thomas

NHEP

RNMI

Daniel Lenz Germany

David T. Wilkinson United States

Thomas Morgan United States

Antonella Maselli Italy

Hirofumi Noda Japan

Shu Zhang China

C. Chang United States

Yafeng Zhan China

S. A. Knock Australia

Joseph Snider United States

Daniel Lenz Germany

Rajat M. Thomas

1.5k ×2.1

1.0k ×1.5

589 ×1.2

NHEP

48 ×0.2

27 ×0.1

RNMI

Citations per year, relative to Rajat M. Thomas Rajat M. Thomas (= 1×) peers Daniel Lenz

Countries citing papers authored by Rajat M. Thomas

Since Specialization

Citations

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

Fields of papers citing papers by Rajat M. Thomas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rajat M. Thomas. 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 Rajat M. Thomas. The network helps show where Rajat M. Thomas may publish in the future.

Co-authorship network of co-authors of Rajat M. Thomas

This figure shows the co-authorship network connecting the top 25 collaborators of Rajat M. Thomas. A scholar is included among the top collaborators of Rajat M. Thomas 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 Rajat M. Thomas. Rajat M. Thomas 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

Abd‐Alrazaq, Alaa, Dena Al‐Thani, Faisal Farooq, et al.. (2025). Hype vs Reality in the Integration of Artificial Intelligence in Clinical Workflows. JMIR Formative Research. 9. e70921–e70921.

Thomas, Rajat M., Yuri Milaneschi, Rick Jansen, et al.. (2023). Multimodal Data Integration Advances Longitudinal Prediction of the Naturalistic Course of Depression and Reveals a Multimodal Signature of Remission During 2-Year Follow-up. Biological Psychiatry. 94(12). 948–958. 10 indexed citations

Friðgeirsson, Egill A., Rajat M. Thomas, Dirk J. A. Smit, et al.. (2023). Patient specific intracranial neural signatures of obsessions and compulsions in the ventral striatum. Journal of Neural Engineering. 20(2). 26008–26008. 7 indexed citations

Thomas, Rajat M., et al.. (2021). Deep learning applications for the classification of psychiatric disorders using neuroimaging data: Systematic review and meta-analysis. NeuroImage Clinical. 30. 102584–102584. 57 indexed citations

Thomas, Rajat M., et al.. (2021). Grey Matter Loss at Different Stages of Cognitive Decline: A Role for the Thalamus in Developing Alzheimer’s Disease. Journal of Alzheimer s Disease. 83(2). 705–720. 59 indexed citations

Gupta, Deepak, et al.. (2020). Fusing Structural and Functional MRIs using Graph Convolutional Networks for Autism Classification. UvA-DARE (University of Amsterdam). 121. 44–61. 4 indexed citations

Hibon, P., et al.. (2020). A Lyαnebula atz ∼ 3.3. Astronomy and Astrophysics. 641. A32–A32. 2 indexed citations

Cerliani, Leonardo, et al.. (2019). Simple 1-D Convolutional Networks for Resting-State fMRI Based Classification in Autism. Pure Amsterdam UMC. 28 indexed citations

Fouhey, David F., Andrés Muñoz‐Jaramillo, Paul Wright, et al.. (2019). A deep learning virtual instrument for monitoring extreme UV solar spectral irradiance. Science Advances. 5(10). eaaw6548–eaaw6548. 20 indexed citations

10.

Wright, Paul, Mark C. M. Cheung, Rajat M. Thomas, et al.. (2019). DeepEM: Demonstrating a Deep Learning Approach to DEM Inversion. Figshare. 2 indexed citations

11.

Han, Yingying, et al.. (2019). Bidirectional cingulate-dependent danger information transfer across rats. PLoS Biology. 17(12). e3000524–e3000524. 38 indexed citations

12.

Fouhey, David F., Meng Jin, Andrés Muñoz‐Jaramillo, et al.. (2019). A Machine-learning Data Set Prepared from the NASA Solar Dynamics Observatory Mission. The Astrophysical Journal Supplement Series. 242(1). 7–7. 50 indexed citations

13.

Thomas, Rajat M., et al.. (2018). Where and how our brain represents the temporal structure of observed action. NeuroImage. 183. 677–697. 19 indexed citations

14.

Cerliani, Leonardo, Rajat M. Thomas, Domenico Aquino, Valeria Elisa Contarino, & Alberto Bizzi. (2016). Disentangling subgroups of participants recruiting shared as well as different brain regions for the execution of the verb generation task: A data-driven fMRI study. Cortex. 86. 247–259. 13 indexed citations

15.

Cui, Fang, et al.. (2014). Functional Magnetic Resonance Imaging Connectivity Analyses Reveal Efference-Copy to Primary Somatosensory Area, BA2. PLoS ONE. 9(1). e84367–e84367. 23 indexed citations

16.

Chluba, Jens & Rajat M. Thomas. (2013). CosmoRec: Cosmological Recombination code. Astrophysics Source Code Library. 2 indexed citations

17.

Cerliani, Leonardo, Rajat M. Thomas, Saâd Jbabdi, et al.. (2011). Probabilistic tractography recovers a rostrocaudal trajectory of connectivity variability in the human insular cortex. Human Brain Mapping. 33(9). 2005–2034. 238 indexed citations

18.

Bernardi, G., A. G. de Bruyn, G. Harker, et al.. (2010). Foregrounds for observations of the cosmological 21 cm line. Astronomy and Astrophysics. 522. A67–A67. 64 indexed citations

19.

Bernardi, G., A. G. de Bruyn, M. A. Brentjens, et al.. (2009). Foregrounds for observations of the cosmological 21 cm line. Astronomy and Astrophysics. 500(3). 965–979. 106 indexed citations

20.

Thomas, Rajat M. & Saleem Zaroubi. (2008). Time-evolution of ionization and heating around first stars and miniqsos. Monthly Notices of the Royal Astronomical Society. 384(3). 1080–1096. 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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