Satrajit Chakrabarty

613 total citations
32 papers, 446 citations indexed

About

Satrajit Chakrabarty is a scholar working on Atomic and Molecular Physics, and Optics, Radiology, Nuclear Medicine and Imaging and Spectroscopy. According to data from OpenAlex, Satrajit Chakrabarty has authored 32 papers receiving a total of 446 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Atomic and Molecular Physics, and Optics, 9 papers in Radiology, Nuclear Medicine and Imaging and 9 papers in Spectroscopy. Recurrent topics in Satrajit Chakrabarty's work include Advanced Chemical Physics Studies (8 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and Brain Tumor Detection and Classification (6 papers). Satrajit Chakrabarty is often cited by papers focused on Advanced Chemical Physics Studies (8 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and Brain Tumor Detection and Classification (6 papers). Satrajit Chakrabarty collaborates with scholars based in United States, Switzerland and India. Satrajit Chakrabarty's co-authors include Evan R. Williams, Ruth Signorell, John P. Maier, Pamela LaMontagne, Aristeidis Sotiras, Samuel I. Merenbloom, D. Gerlich, Mathias Holz, E. K. Campbell and Daniel S. Marcus and has published in prestigious journals such as Journal of the American Chemical Society, The Journal of Chemical Physics and The Journal of Physical Chemistry B.

In The Last Decade

Satrajit Chakrabarty

32 papers receiving 441 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Satrajit Chakrabarty United States 13 158 145 100 56 41 32 446
Tuan H. Vu United States 21 231 1.5× 130 0.9× 103 1.0× 46 0.8× 62 1.5× 63 877
Simon J. King United Kingdom 12 152 1.0× 142 1.0× 41 0.4× 16 0.3× 26 0.6× 22 403
Kenshu Kamiya Japan 12 153 1.0× 88 0.6× 95 0.9× 59 1.1× 106 2.6× 21 399
Shaun A. Carl Belgium 18 318 2.0× 291 2.0× 593 5.9× 24 0.4× 52 1.3× 45 1.0k
Seonkyung Lee United States 12 104 0.7× 144 1.0× 98 1.0× 21 0.4× 38 0.9× 52 545
Gregor Bánó Slovakia 17 227 1.4× 191 1.3× 67 0.7× 121 2.2× 64 1.6× 63 716
Andrew C. Symonds Australia 13 322 2.0× 252 1.7× 227 2.3× 10 0.2× 42 1.0× 15 603
Jichun Shi China 14 222 1.4× 193 1.3× 310 3.1× 23 0.4× 30 0.7× 23 565
Bujin Guo United States 6 180 1.1× 190 1.3× 86 0.9× 64 1.1× 83 2.0× 7 437
Laurent Thomas Germany 21 357 2.3× 273 1.9× 241 2.4× 9 0.2× 56 1.4× 61 1.0k

Countries citing papers authored by Satrajit Chakrabarty

Since Specialization
Citations

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

Fields of papers citing papers by Satrajit Chakrabarty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Satrajit Chakrabarty

This figure shows the co-authorship network connecting the top 25 collaborators of Satrajit Chakrabarty. A scholar is included among the top collaborators of Satrajit Chakrabarty 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 Satrajit Chakrabarty. Satrajit Chakrabarty 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.
Chakrabarty, Satrajit, et al.. (2025). QCResUNet: Joint subject-level and voxel-level segmentation quality prediction. Medical Image Analysis. 107(Pt A). 103718–103718. 1 indexed citations
2.
Sengupta, Sourya, et al.. (2025). Is SAM 2 better than SAM in medical image segmentation?. 97–97. 5 indexed citations
3.
Ponisio, Maria Rosana, Sung Min Ha, Satrajit Chakrabarty, et al.. (2024). AmyloidPETNet: Classification of Amyloid Positivity in Brain PET Imaging Using End-to-End Deep Learning. Radiology. 311(3). e231442–e231442. 6 indexed citations
4.
Shimony, Joshua S., Satrajit Chakrabarty, Aaron Tanenbaum, et al.. (2023). Optimal approaches to analyzing functional MRI data in glioma patients. Journal of Neuroscience Methods. 402. 110011–110011. 3 indexed citations
5.
Chakrabarty, Satrajit, Pamela LaMontagne, Joshua S. Shimony, Daniel S. Marcus, & Aristeidis Sotiras. (2023). Non-invasive classification of IDH mutation status of gliomas from multi-modal MRI using a 3D convolutional neural network. PubMed. 12465. 29–29. 1 indexed citations
6.
Chakrabarty, Satrajit, et al.. (2023). MRI-based classification of IDH mutation and 1p/19q codeletion status of gliomas using a 2.5D hybrid multi-task convolutional neural network. Neuro-Oncology Advances. 5(1). vdad023–vdad023. 21 indexed citations
7.
Chakrabarty, Satrajit, Aristeidis Sotiras, Mikhail Milchenko, et al.. (2021). BrainTumorNet: multi-task learning for joint segmentation of high-grade glioma and brain metastases from MR images. 13–13. 1 indexed citations
8.
Chakrabarty, Satrajit, et al.. (2018). Structural Investigation of the Hormone Melatonin and Its Alkali and Alkaline Earth Metal Complexes in the Gas Phase. Journal of the American Society for Mass Spectrometry. 29(9). 1835–1847. 7 indexed citations
9.
Chakrabarty, Satrajit, et al.. (2018). Water nucleation at extreme supersaturation. The Journal of Chemical Physics. 149(24). 244303–244303. 15 indexed citations
10.
Merenbloom, Samuel I., et al.. (2017). Single Particle Analyzer of Mass: A Charge Detection Mass Spectrometer with a Multi-Detector Electrostatic Ion Trap. International Journal of Mass Spectrometry. 414. 45–55. 50 indexed citations
11.
Chakrabarty, Satrajit, et al.. (2016). Stereo Orthogonal Feature-mapping transform (SOFT) for stereo matching. 1. 1–6. 1 indexed citations
12.
Chakrabarty, Satrajit, et al.. (2016). Observation of propane cluster size distributions during nucleation and growth in a Laval expansion. The Journal of Chemical Physics. 145(21). 211907–211907. 26 indexed citations
13.
Campbell, E. K., et al.. (2014). A NOVEL METHOD TO MEASURE SPECTRA OF COLD MOLECULAR IONS. 1–1. 1 indexed citations
14.
Chang, Terrence M., Satrajit Chakrabarty, & Evan R. Williams. (2014). Hydration of Gaseous m-Aminobenzoic Acid: Ionic vs Neutral Hydrogen Bonding and Water Bridges. Journal of the American Chemical Society. 136(29). 10440–10449. 21 indexed citations
15.
16.
Ghosh, Saptarshi, Satrajit Chakrabarty, Debipreeta Bhowmik, Gopinatha Suresh Kumar, & Nitin Chattopadhyay. (2014). Stepwise Unfolding of Bovine and Human Serum Albumin by an Anionic Surfactant: An Investigation Using the Proton Transfer Probe Norharmane. The Journal of Physical Chemistry B. 119(6). 2090–2102. 32 indexed citations
17.
Chakrabarty, Satrajit, Corey A. Rice, Fabio Mazzotti, Rainer Dietsche, & John P. Maier. (2013). Electronic Absorption Spectrum of Triacetylene Cation for Astronomical Considerations. The Journal of Physical Chemistry A. 117(39). 9574–9577. 7 indexed citations
18.
Maier, John P., Satrajit Chakrabarty, Fabio Mazzotti, et al.. (2011). ASSIGNMENT OF 5069 Å DIFFUSE INTERSTELLAR BAND TO HC 4 H + : DISAGREEMENT WITH LABORATORY ABSORPTION BAND. The Astrophysical Journal Letters. 729(2). L20–L20. 21 indexed citations
19.
Rice, Corey A., et al.. (2010). D2Πu, C2Πu ← X2Πg Electronic Transitions of NCCN+. The Journal of Physical Chemistry A. 114(4). 1684–1687. 2 indexed citations
20.
Bose, Pradip, et al.. (1999). Recognition of ancient eolian longitudinal dunes; a case study in upper Bhander Sandstone, Son Valley, India. Journal of Sedimentary Research. 69(1). 74–83. 23 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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