Anindya Gupta

1.2k total citations
24 papers, 838 citations indexed

About

Anindya Gupta is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Psychiatry and Mental health. According to data from OpenAlex, Anindya Gupta has authored 24 papers receiving a total of 838 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Pulmonary and Respiratory Medicine and 5 papers in Psychiatry and Mental health. Recurrent topics in Anindya Gupta's work include Lung Cancer Diagnosis and Treatment (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Fibromyalgia and Chronic Fatigue Syndrome Research (4 papers). Anindya Gupta is often cited by papers focused on Lung Cancer Diagnosis and Treatment (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Fibromyalgia and Chronic Fatigue Syndrome Research (4 papers). Anindya Gupta collaborates with scholars based in United Kingdom, Sweden and Estonia. Anindya Gupta's co-authors include Alan J. Silman, Richard Morriss, Gary J. Macfarlane, Yee Chiu, John McBeth, David Ray, Chris Dickens, A J Silman, Barbara I. Nicholl and Olev Märtens and has published in prestigious journals such as SHILAP Revista de lepidopterología, Pain and Medical Physics.

In The Last Decade

Anindya Gupta

22 papers receiving 819 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anindya Gupta United Kingdom 10 351 298 151 104 102 24 838
Taras Usichenko Germany 23 150 0.4× 239 0.8× 165 1.1× 28 0.3× 358 3.5× 97 1.5k
Agatha P. Colbert United States 20 108 0.3× 120 0.4× 222 1.5× 27 0.3× 163 1.6× 37 1.0k
Renée Lampe Germany 16 204 0.6× 60 0.2× 66 0.4× 18 0.2× 72 0.7× 90 1.0k
Gerry Boyle Ireland 16 108 0.3× 60 0.2× 59 0.4× 41 0.4× 119 1.2× 50 813
Füsun Köseoğlu Türkiye 12 135 0.4× 120 0.4× 66 0.4× 10 0.1× 98 1.0× 26 865
Mary L. Dombovy United States 17 250 0.7× 57 0.2× 61 0.4× 65 0.6× 200 2.0× 33 1.4k
Chiara Milanese Italy 23 187 0.5× 52 0.2× 510 3.4× 49 0.5× 57 0.6× 104 1.8k
Patrick Mucci France 20 195 0.6× 36 0.1× 274 1.8× 57 0.5× 86 0.8× 91 1.4k
Brian D. Greenwald United States 26 260 0.7× 76 0.3× 50 0.3× 51 0.5× 219 2.1× 57 1.9k
Brett Martin United States 22 307 0.9× 49 0.2× 182 1.2× 43 0.4× 185 1.8× 41 1.7k

Countries citing papers authored by Anindya Gupta

Since Specialization
Citations

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

Fields of papers citing papers by Anindya Gupta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anindya Gupta

This figure shows the co-authorship network connecting the top 25 collaborators of Anindya Gupta. A scholar is included among the top collaborators of Anindya 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 Anindya Gupta. Anindya 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, Anunay, et al.. (2022). Solar Power Prediction using LTC Models. International Journal of Electrical and Electronics Research. 10(3). 475–480. 1 indexed citations
2.
Gupta, Anindya, et al.. (2021). Deep CNN based microaneurysm-haemorrhage classification in retinal images considering local neighbourhoods. Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization. 10(2). 157–171. 1 indexed citations
3.
4.
Suveer, Amit, et al.. (2019). Super-Resolution Reconstruction of Transmission Electron Microscopy Images Using Deep Learning. 548–551. 10 indexed citations
5.
Gupta, Anindya, et al.. (2019). Detection of pulmonary micronodules in computed tomography images and false positive reduction using 3D convolutional neural networks. International Journal of Imaging Systems and Technology. 30(2). 327–339. 2 indexed citations
6.
7.
Gupta, Anindya, Philip J. Harrison, Håkan Wieslander, et al.. (2018). Deep Learning in Image Cytometry: A Review. Cytometry Part A. 95(4). 366–380. 128 indexed citations
8.
Gupta, Anindya, et al.. (2018). Automatic detection of multisize pulmonary nodules in CT images: Large‐scale validation of the false‐positive reduction step. Medical Physics. 45(3). 1135–1149. 36 indexed citations
9.
Gupta, Anindya. (2017). Graft versus host disease associated with blood transfusion. 10(2). 1 indexed citations
10.
Gupta, Anindya, et al.. (2016). MALIGNANT OBSTRUCTIVE JAUNDICE: A STUDY OF INVESTIGATIVE PARAMETERS AND ITS OUTCOME. SHILAP Revista de lepidopterología. 3(69). 3752–3759.
11.
Gupta, Anindya, et al.. (2015). Calcinosis and Rapidly Destructive Arthropathy Associated with Anti-Jo1 Antibody. The Journal of Rheumatology. 42(3). 547–548. 2 indexed citations
12.
Gupta, Anindya, et al.. (2015). A tool for lung nodules analysis based on segmentation and morphological operation. 54. 1–5. 9 indexed citations
13.
14.
Nasher, Omar & Anindya Gupta. (2013). An ACE diagnosis. BMJ Case Reports. 2013. bcr–2012. 1 indexed citations
15.
Sosin, Michael, et al.. (2013). Carbimazole-induced lupus. BMJ Case Reports. 2013. bcr2012007596–bcr2012007596. 9 indexed citations
16.
Bandyopadhyay, Sabyasachi, et al.. (2010). Reversible cortical blindness: posterior reversible encephalopathy syndrome.. PubMed. 108(11). 778–80. 2 indexed citations
17.
Gupta, Anindya, A J Silman, David Ray, et al.. (2006). The role of psychosocial factors in predicting the onset of chronic widespread pain: results from a prospective population-based study. Lara D. Veeken. 46(4). 666–671. 267 indexed citations
18.
McBeth, John, Yee Chiu, Alan J. Silman, et al.. (2005). Hypothalamic-pituitary-adrenal stress axis function and the relationship with chronic widespread pain and its antecedents. Arthritis Research & Therapy. 7(5). R992–R1000. 128 indexed citations
19.
Chiu, Yee, Alan J. Silman, Gary J. Macfarlane, et al.. (2005). Poor sleep and depression are independently associated with a reduced pain threshold. Results of a population based study. Pain. 115(3). 316–321. 143 indexed citations
20.
Gupta, Anindya & Alan J. Silman. (2004). Psychological stress and fibromyalgia: a review of the evidence suggesting a neuroendocrine link.. Arthritis Research. 6(3). 98–98. 63 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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