Anubha Gupta

5.2k total citations
188 papers, 3.1k citations indexed

About

Anubha Gupta is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Electrical and Electronic Engineering. According to data from OpenAlex, Anubha Gupta has authored 188 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Computer Vision and Pattern Recognition, 29 papers in Cognitive Neuroscience and 29 papers in Electrical and Electronic Engineering. Recurrent topics in Anubha Gupta's work include Image and Signal Denoising Methods (21 papers), Blind Source Separation Techniques (19 papers) and Ultra-Wideband Communications Technology (14 papers). Anubha Gupta is often cited by papers focused on Image and Signal Denoising Methods (21 papers), Blind Source Separation Techniques (19 papers) and Ultra-Wideband Communications Technology (14 papers). Anubha Gupta collaborates with scholars based in India, United States and United Kingdom. Anubha Gupta's co-authors include Margareta Hammarlund‐Udenaes, Ritu Gupta, Pushpendra Singh, Markus Fridén, Stina Syvänen, Tilak Raj Bhardwaj, Roshan Lal, Priya Aggarwal, Vimal Bhatia and Sakshi Agrawal and has published in prestigious journals such as Circulation, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Anubha Gupta

177 papers receiving 3.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anubha Gupta India 27 473 437 431 414 391 188 3.1k
Shuyu Li China 33 224 0.5× 254 0.6× 680 1.6× 161 0.4× 513 1.3× 212 3.3k
Alejandro Pazos Spain 30 688 1.5× 334 0.8× 1.1k 2.5× 134 0.3× 163 0.4× 180 3.7k
Georg Dorffner Austria 33 804 1.7× 320 0.7× 1.8k 4.3× 187 0.5× 182 0.5× 138 4.0k
Feng Tian China 35 251 0.5× 612 1.4× 438 1.0× 414 1.0× 701 1.8× 320 5.9k
Themis P. Exarchos Greece 19 1.1k 2.3× 161 0.4× 200 0.5× 249 0.6× 654 1.7× 98 3.2k
Chee Keong Kwoh Singapore 37 930 2.0× 380 0.9× 458 1.1× 130 0.3× 406 1.0× 182 5.2k
Dimitrios I. Fotiadis Greece 32 747 1.6× 325 0.7× 685 1.6× 66 0.2× 560 1.4× 269 4.2k
Anke Meyer‐Baese United States 27 784 1.7× 268 0.6× 438 1.0× 53 0.1× 705 1.8× 193 2.3k
Wanqing Wu China 35 734 1.6× 794 1.8× 362 0.8× 44 0.1× 432 1.1× 164 3.8k
Chandan Chakraborty India 46 1.2k 2.4× 1.1k 2.5× 577 1.3× 624 1.5× 736 1.9× 178 7.2k

Countries citing papers authored by Anubha Gupta

Since Specialization
Citations

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

Fields of papers citing papers by Anubha Gupta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anubha Gupta

This figure shows the co-authorship network connecting the top 25 collaborators of Anubha Gupta. A scholar is included among the top collaborators of Anubha 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 Anubha Gupta. Anubha Gupta 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.
Gupta, Mohit, Shekhar Kunal, Manu Kumar Shetty, et al.. (2025). Comparative evaluation of machine learning models versus TIMI score in ST-segment-elevation myocardial infarction patients. Indian Heart Journal. 77(3). 133–141.
2.
Weinblatt, Michael E., Peter C. Taylor, Iain B. McInnes, et al.. (2025). Long-term safety and efficacy of anti-GM-CSF otilimab in patients with rheumatoid arthritis: long-term extension of three phase 3 randomised trials (contRAst X). BMJ Open. 15(3). e088869–e088869. 1 indexed citations
3.
Dobbins, Chelsea, et al.. (2025). Differentiating presence in virtual reality using physiological signals. Pervasive and Mobile Computing. 111. 102065–102065.
4.
Singh, Pushpendra, Anubha Gupta, & Shiv Dutt Joshi. (2024). On the hypercomplex numbers and normed division algebras in all dimensions: A unified multiplication. PLoS ONE. 19(10). e0312502–e0312502. 1 indexed citations
5.
Singh, Pushpendra, et al.. (2024). PP-CNN: probabilistic pooling CNN for enhanced image classification. Neural Computing and Applications. 37(6). 4345–4361. 5 indexed citations
6.
Singh, Pushpendra, Amit Singhal, Binish Fatimah, & Anubha Gupta. (2023). A novel PRFB decomposition for non-stationary time-series and image analysis. Signal Processing. 207. 108961–108961. 4 indexed citations
7.
Singh, Pushpendra, Anubha Gupta, & Shiv Dutt Joshi. (2022). General Parameterized Fourier Transform: A Unified Framework for the Fourier, Laplace, Mellin and $Z$ Transforms. IEEE Transactions on Signal Processing. 70. 1295–1309. 7 indexed citations
8.
Aggarwal, Priya, et al.. (2022). COVID-19 image classification using deep learning: Advances, challenges and opportunities. Computers in Biology and Medicine. 144. 105350–105350. 90 indexed citations
9.
Fatimah, Binish, Priya Aggarwal, Pushpendra Singh, & Anubha Gupta. (2022). A comparative study for predictive monitoring of COVID-19 pandemic. Applied Soft Computing. 122. 108806–108806. 7 indexed citations
10.
Gupta, Ritu, et al.. (2022). ARCANE-ROG: Algorithm for reconstruction of cancer evolution from single-cell data using robust graph learning. Journal of Biomedical Informatics. 129. 104055–104055. 2 indexed citations
11.
Gupta, Anubha, et al.. (2021). Lung Cancer Detection Using Image Processing and Convolutional Neural Network. Annals of the Romanian Society for Cell Biology. 2 indexed citations
12.
Singh, Pushpendra, Amit Singhal, Binish Fatimah, Anubha Gupta, & Shiv Dutt Joshi. (2020). AF-MNS: A Novel AM-FM Based Measure of Non-Stationarity. IEEE Communications Letters. 25(3). 990–994. 1 indexed citations
13.
Agarwal, Ankur, et al.. (2019). EDUQA: Educational Domain Question Answering System Using Conceptual Network Mapping. arXiv (Cornell University). 8137–8141. 9 indexed citations
14.
Joshi, Shashank, et al.. (2019). Automated Epilepsy Diagnosis Using EEG With Test Set Evaluation. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 27(6). 1106–1116. 22 indexed citations
15.
Gupta, Ananya Sen, et al.. (2019). Shallow water channel estimation with energy efficient transmitted signal design. The Journal of the Acoustical Society of America. 145(5). 2955–2970. 1 indexed citations
16.
Gupta, Anubha, et al.. (2018). A Novel Signal Modeling Approach for Classification of Seizure and Seizure-Free EEG Signals. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 26(5). 925–935. 125 indexed citations
17.
Gupta, Anubha, Shiv Dutt Joshi, & Pushpendra Singh. (2018). On the approximate discrete KLT of fractional Brownian motion and applications. Journal of the Franklin Institute. 355(17). 8989–9016. 16 indexed citations
18.
Zaslavsky, Ilya, et al.. (2016). Integrating Semantic Information in Metadata Descriptions for a Geoscience-wide Resource Inventory.. AGU Fall Meeting Abstracts. 2016. 1 indexed citations
19.
Kumar, Ashok, Ritu Gupta, & Anubha Gupta. (2016). Research Performance of Maharishi Markandeshwar University, Mullana-Ambala during 2007-2015: A Scientometric Study. Library philosophy and practice. 1. 5 indexed citations
20.
Roxburgh, Patricia, L Rhoda Molife, Anubha Gupta, et al.. (2013). A phase 1 study of oral rucaparib in combination with carboplatin. European Journal of Cancer. 49. 2 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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