Sukrit Gupta

516 total citations
18 papers, 321 citations indexed

About

Sukrit Gupta is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Sukrit Gupta has authored 18 papers receiving a total of 321 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cognitive Neuroscience, 6 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Artificial Intelligence. Recurrent topics in Sukrit Gupta's work include Functional Brain Connectivity Studies (8 papers), Neural dynamics and brain function (5 papers) and Advanced MRI Techniques and Applications (4 papers). Sukrit Gupta is often cited by papers focused on Functional Brain Connectivity Studies (8 papers), Neural dynamics and brain function (5 papers) and Advanced MRI Techniques and Applications (4 papers). Sukrit Gupta collaborates with scholars based in Singapore, India and Sweden. Sukrit Gupta's co-authors include Satya P. Singh, Deepak Gangwar, A. Lay-Ekuakille, Madan Kumar Sharma, Jagath C. Rajapakse, Balázs Gulyás, Parasuraman Padmanabhan, Lipo Wang, Roy E. Welsch and S. R. S. Iyengar and has published in prestigious journals such as Bioinformatics, NeuroImage and Scientific Reports.

In The Last Decade

Sukrit Gupta

16 papers receiving 312 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sukrit Gupta Singapore 8 131 85 59 57 47 18 321
S. N. Kumar India 10 133 1.0× 71 0.8× 58 1.0× 56 1.0× 46 1.0× 32 386
C. Jiménez-Mesa Spain 9 101 0.8× 138 1.6× 93 1.6× 65 1.1× 120 2.6× 14 449
Mahbubul Alam United States 9 78 0.6× 89 1.0× 70 1.2× 23 0.4× 63 1.3× 28 311
Ruihan Hu China 12 88 0.7× 119 1.4× 42 0.7× 18 0.3× 26 0.6× 32 323
T. Rajendran India 10 87 0.7× 89 1.0× 33 0.6× 33 0.6× 72 1.5× 22 324
Fardin Abdali-Mohammadi Iran 15 187 1.4× 135 1.6× 163 2.8× 94 1.6× 66 1.4× 44 573
Ik Hyun Lee South Korea 11 242 1.8× 91 1.1× 52 0.9× 63 1.1× 29 0.6× 38 453
Katsuhiko Mori Japan 2 205 1.6× 117 1.4× 31 0.5× 24 0.4× 43 0.9× 5 448
Margarita-Arimatea Díaz-Cortés Mexico 10 80 0.6× 68 0.8× 79 1.3× 20 0.4× 59 1.3× 14 307

Countries citing papers authored by Sukrit Gupta

Since Specialization
Citations

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

Fields of papers citing papers by Sukrit Gupta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sukrit Gupta

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

All Works

18 of 18 papers shown
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2.
Gupta, Sukrit, Christoph N. Schlaffner, Saima Ahmed, et al.. (2024). PEPerMINT: peptide abundance imputation in mass spectrometry-based proteomics using graph neural networks. Bioinformatics. 40(Supplement_2). ii70–ii78. 1 indexed citations
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Singh, Satya P., Sukrit Gupta, & Jagath C. Rajapakse. (2024). Sparse Deep Neural Network for Encoding and Decoding the Structural Connectome. IEEE Journal of Translational Engineering in Health and Medicine. 12. 371–381. 2 indexed citations
7.
Singh, Satya P., Sachin Mishra, Sukrit Gupta, et al.. (2023). Functional Mapping of the Brain for Brain–Computer Interfacing: A Review. Electronics. 12(3). 604–604. 7 indexed citations
8.
Gupta, Sukrit, et al.. (2022). Decoding task specific and task general functional architectures of the brain. Human Brain Mapping. 43(9). 2801–2816. 6 indexed citations
9.
Gupta, Sukrit, et al.. (2021). Obtaining leaner deep neural networks for decoding brain functional connectome in a single shot. Neurocomputing. 453. 326–336. 10 indexed citations
10.
Singh, Satya P., Madan Kumar Sharma, A. Lay-Ekuakille, Deepak Gangwar, & Sukrit Gupta. (2020). Deep ConvLSTM With Self-Attention for Human Activity Decoding Using Wearable Sensors. IEEE Sensors Journal. 21(6). 8575–8582. 139 indexed citations
11.
Gupta, Sukrit, Jagath C. Rajapakse, & Roy E. Welsch. (2020). Ambivert degree identifies crucial brain functional hubs and improves detection of Alzheimer’s Disease and Autism Spectrum Disorder. NeuroImage Clinical. 25. 102186–102186. 15 indexed citations
12.
Gupta, Sukrit & Jagath C. Rajapakse. (2020). Iterative consensus spectral clustering improves detection of subject and group level brain functional modules. Scientific Reports. 10(1). 7590–7590. 14 indexed citations
13.
Singh, Satya P., Lipo Wang, Sukrit Gupta, Balázs Gulyás, & Parasuraman Padmanabhan. (2020). Shallow 3D CNN for Detecting Acute Brain Hemorrhage From Medical Imaging Sensors. IEEE Sensors Journal. 21(13). 14290–14299. 86 indexed citations
14.
Singh, Satya P., et al.. (2020). 3D Deep Learning on Medical Images: A Review. Sensors. 20(18). 5097–5097. 3 indexed citations
15.
Gupta, Sukrit & Jagath C. Rajapakse. (2018). Nodal degree distributions of resting-state functional brain modules. 1256–1259. 3 indexed citations
16.
Rajapakse, Jagath C., Sukrit Gupta, & Xiuchao Sui. (2017). Fitting networks models for functional brain connectivity. 1. 515–519. 3 indexed citations
17.
Gupta, Sukrit, et al.. (2016). Performance comparison of next generation controller and MPC in real time for a SISO process with low cost DAQ unit. Alexandria Engineering Journal. 55(3). 2515–2524. 12 indexed citations
18.
Iyengar, S. R. S., et al.. (2015). A Faster Algorithm to Update Betweenness Centrality After Node Alteration. Internet Mathematics. 11(4-5). 403–420. 17 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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