Subhasri Chatterjee

507 total citations
24 papers, 320 citations indexed

About

Subhasri Chatterjee is a scholar working on Biomedical Engineering, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Subhasri Chatterjee has authored 24 papers receiving a total of 320 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Biomedical Engineering, 12 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Surgery. Recurrent topics in Subhasri Chatterjee's work include Optical Imaging and Spectroscopy Techniques (11 papers), Non-Invasive Vital Sign Monitoring (10 papers) and Photoacoustic and Ultrasonic Imaging (6 papers). Subhasri Chatterjee is often cited by papers focused on Optical Imaging and Spectroscopy Techniques (11 papers), Non-Invasive Vital Sign Monitoring (10 papers) and Photoacoustic and Ultrasonic Imaging (6 papers). Subhasri Chatterjee collaborates with scholars based in United Kingdom, India and United States. Subhasri Chatterjee's co-authors include P. A. Kyriacou, Nirmalya Ghosh, Asima Pradhan, Karthik Budidha, Nandan Das, Justin P. Phillips, A. E. Meyerovich, Jalpa Soni, Jaidip Jagtap and I. Alex Vitkin and has published in prestigious journals such as Physical Review B, Scientific Reports and Optics Letters.

In The Last Decade

Subhasri Chatterjee

22 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
Subhasri Chatterjee United Kingdom 9 231 122 59 56 40 24 320
Alistair Gorman United Kingdom 11 192 0.8× 259 2.1× 12 0.2× 79 1.4× 29 0.7× 20 476
Ruobing Qian United States 9 176 0.8× 127 1.0× 16 0.3× 48 0.9× 4 0.1× 21 281
F. Fanjul-Vélez Spain 11 230 1.0× 107 0.9× 5 0.1× 63 1.1× 59 1.5× 77 337
Peter Kellman United States 8 58 0.3× 51 0.4× 12 0.2× 20 0.4× 7 0.2× 41 243
S. H. Yun South Korea 5 309 1.3× 87 0.7× 43 0.7× 119 2.1× 4 0.1× 18 383
Sung Hyun Nam South Korea 7 162 0.7× 43 0.4× 6 0.1× 92 1.6× 44 1.1× 16 315
Gonzalo Muyo United Kingdom 13 323 1.4× 199 1.6× 10 0.2× 57 1.0× 8 0.2× 30 524
Sun‐Joo Jang South Korea 10 179 0.8× 52 0.4× 111 1.9× 54 1.0× 25 388
Tulsi Anna India 11 129 0.6× 54 0.4× 7 0.1× 48 0.9× 10 0.3× 23 285
Alain De Cesare France 11 120 0.5× 147 1.2× 16 0.3× 4 0.1× 3 0.1× 28 310

Countries citing papers authored by Subhasri Chatterjee

Since Specialization
Citations

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

Fields of papers citing papers by Subhasri Chatterjee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Subhasri Chatterjee

This figure shows the co-authorship network connecting the top 25 collaborators of Subhasri Chatterjee. A scholar is included among the top collaborators of Subhasri Chatterjee 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 Subhasri Chatterjee. Subhasri Chatterjee 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.
2.
Chatterjee, Subhasri, et al.. (2024). A metal-insulator-metal waveguide-based plasmonic refractive index sensor for the detection of nanoplastics in water. Scientific Reports. 14(1). 21495–21495. 8 indexed citations
3.
Chatterjee, Subhasri, et al.. (2023). Deployment of CNN on colour fundus images for the automatic detection of glaucoma. 20(1). 1–9. 5 indexed citations
4.
5.
Mamouei, Mohammad, et al.. (2021). Design and Analysis of a Continuous and Non-Invasive Multi-Wavelength Optical Sensor for Measurement of Dermal Water Content. Sensors. 21(6). 2162–2162. 9 indexed citations
6.
Chatterjee, Subhasri, Karthik Budidha, Meha Qassem, & P. A. Kyriacou. (2021). In-silico investigation towards the non-invasive optical detection of blood lactate. Scientific Reports. 11(1). 14274–14274. 3 indexed citations
7.
Chatterjee, Subhasri, Karthik Budidha, & P. A. Kyriacou. (2020). Investigating the origin of photoplethysmography using a multiwavelength Monte Carlo model. Physiological Measurement. 41(8). 84001–84001. 42 indexed citations
8.
Chatterjee, Subhasri & P. A. Kyriacou. (2019). Monte Carlo Analysis of Optical Interactions in Reflectance and Transmittance Finger Photoplethysmography. Sensors. 19(4). 789–789. 58 indexed citations
9.
Chatterjee, Subhasri & P. A. Kyriacou. (2019). Estimating the Dependence of Differential Pathlength Factor on Blood Volume and Oxygen Saturation using Monte Carlo method. PubMed. 2019. 75–78. 2 indexed citations
10.
11.
Chatterjee, Subhasri, Tomas Ysehak Abay, Justin P. Phillips, & P. A. Kyriacou. (2018). Investigating optical path and differential pathlength factor in reflectance photoplethysmography for the assessment of perfusion. Journal of Biomedical Optics. 23(7). 1–1. 24 indexed citations
12.
Chatterjee, Subhasri, Justin P. Phillips, & P. A. Kyriacou. (2017). Investigating optical path in reflectance pulse oximetry using a multilayer Monte Carlo model. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 10411. 1041106–1041106. 2 indexed citations
13.
Chatterjee, Subhasri, Justin P. Phillips, & P. A. Kyriacou. (2015). Differential pathlength factor estimation for brain-like tissue from a single-layer Monte Carlo model. PubMed. 2015. 3279–3282. 4 indexed citations
14.
Das, Nandan, Subhasri Chatterjee, Satish Kumar, et al.. (2014). Tissue multifractality and Born approximation in analysis of light scattering: a novel approach for precancers detection. Scientific Reports. 4(1). 6129–6129. 26 indexed citations
15.
Jagtap, Jaidip, Shubham Chandel, Nandan Das, et al.. (2014). Quantitative Mueller matrix fluorescence spectroscopy for precancer detection. Optics Letters. 39(2). 243–243. 45 indexed citations
16.
Das, Nandan, et al.. (2014). Fractal anisotropy in tissue refractive index fluctuations: potential role in precancer detection. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9129. 91290V–91290V. 4 indexed citations
17.
Das, Nandan, Subhasri Chatterjee, Jalpa Soni, et al.. (2013). Probing multifractality in tissue refractive index: prospects for precancer detection. Optics Letters. 38(2). 211–211. 32 indexed citations
18.
Chatterjee, Subhasri, Nandan Das, Satish Kumar, et al.. (2013). Probing multi-scale self-similarity of tissue structures using light scattering spectroscopy: prospects in pre-cancer detection. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8699. 86990D–86990D. 1 indexed citations
19.
Chatterjee, Subhasri & A. E. Meyerovich. (2011). Quantum size effect and the two types of interference between bulk and boundary scattering in ultrathin films. Physical Review B. 84(16). 4 indexed citations
20.
Chatterjee, Subhasri & A. E. Meyerovich. (2010). Interference between bulk and boundary scattering in high quality films. Physical Review B. 81(24). 20 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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