Srinivasan Rajagopalan

1.5k total citations
40 papers, 902 citations indexed

About

Srinivasan Rajagopalan is a scholar working on Pulmonary and Respiratory Medicine, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Srinivasan Rajagopalan has authored 40 papers receiving a total of 902 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Pulmonary and Respiratory Medicine, 11 papers in Biomedical Engineering and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Srinivasan Rajagopalan's work include Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (10 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (8 papers) and Lung Cancer Diagnosis and Treatment (6 papers). Srinivasan Rajagopalan is often cited by papers focused on Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (10 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (8 papers) and Lung Cancer Diagnosis and Treatment (6 papers). Srinivasan Rajagopalan collaborates with scholars based in United States, United Kingdom and India. Srinivasan Rajagopalan's co-authors include Brian J. Bartholmai, Ronald A. Karwoski, Richard A. Robb, Athol U. Wells, Joseph Jacob, Fabien Maldonado, Maria Kokosi, Sushravya Raghunath, David M. Hansell and Thomas E. Hartman and has published in prestigious journals such as Journal of the American Chemical Society, SHILAP Revista de lepidopterología and Nano Letters.

In The Last Decade

Srinivasan Rajagopalan

38 papers receiving 879 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Srinivasan Rajagopalan United States 16 590 160 157 151 65 40 902
Takaaki Murakami Japan 19 521 0.9× 82 0.5× 44 0.3× 47 0.3× 30 0.5× 94 1.2k
Yeh‐Chan Ahn South Korea 19 117 0.2× 108 0.7× 171 1.1× 669 4.4× 10 0.2× 70 1.2k
Hyun Pyo Hong South Korea 19 152 0.3× 29 0.2× 71 0.5× 206 1.4× 34 0.5× 86 1.1k
Mano J. Thubrikar United States 34 1.7k 2.9× 46 0.3× 174 1.1× 538 3.6× 20 0.3× 64 3.3k
Ken-ichi TSUBOTA Japan 16 279 0.5× 135 0.8× 36 0.2× 240 1.6× 15 0.2× 60 920
Wouter Willaert Belgium 20 268 0.5× 26 0.2× 48 0.3× 219 1.5× 22 0.3× 81 1.1k
John F. Eberth United States 20 426 0.7× 45 0.3× 63 0.4× 523 3.5× 10 0.2× 58 1.2k
Michel Vincent France 22 281 0.5× 30 0.2× 207 1.3× 142 0.9× 16 0.2× 113 1.6k
Ting‐Hao Chen China 19 163 0.3× 26 0.2× 98 0.6× 94 0.6× 83 1.3× 78 1.3k
Stephen L. Hilbert United States 23 199 0.3× 49 0.3× 33 0.2× 187 1.2× 35 0.5× 40 1.3k

Countries citing papers authored by Srinivasan Rajagopalan

Since Specialization
Citations

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

Fields of papers citing papers by Srinivasan Rajagopalan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Srinivasan Rajagopalan

This figure shows the co-authorship network connecting the top 25 collaborators of Srinivasan Rajagopalan. A scholar is included among the top collaborators of Srinivasan Rajagopalan 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 Srinivasan Rajagopalan. Srinivasan Rajagopalan 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.
Modi, Gaurav, Andrew C. Meng, Srinivasan Rajagopalan, et al.. (2024). Controlled Self-Assembly of Nanoscale Superstructures in Phase-Change Ge–Sb–Te Nanowires. Nano Letters. 24(19). 5799–5807. 1 indexed citations
2.
Rajagopalan, Srinivasan, Brian J. Bartholmai, Jennifer M. Boland, et al.. (2024). Long-Term Survival and CANARY-Based Artificial Intelligence for Multifocal Lung Adenocarcinoma. SHILAP Revista de lepidopterología. 2(1). 44–52.
3.
Botterud, Audun, Dimitri J. Papageorgiou, Bryan K. Mignone, et al.. (2022). Decarbonization of the Indian electricity sector: Technology choices and policy trade-offs. iScience. 25(4). 104017–104017. 15 indexed citations
4.
Nduagu, Experience, et al.. (2022). Comparative life cycle assessment of natural gas and coal-based directly reduced iron (DRI) production: A case study for India. Journal of Cleaner Production. 347. 131196–131196. 49 indexed citations
5.
Rajagopalan, Srinivasan, Ronald A. Karwoski, Brian J. Bartholmai, et al.. (2019). Computed Tomography–Based Score Indicative of Lung Cancer Aggression (SILA) Predicts the Degree of Histologic Tissue Invasion and Patient Survival in Lung Adenocarcinoma Spectrum. Journal of Thoracic Oncology. 14(8). 1419–1429. 20 indexed citations
6.
Elias, Susan, et al.. (2019). Template-based gait authentication through Bayesian thresholding. IEEE/CAA Journal of Automatica Sinica. 6(1). 209–219. 9 indexed citations
7.
Nakajima, Erica C., Tucker F. Johnson, Sanja Antic, et al.. (2018). Assessing the inter-observer variability of Computer-Aided Nodule Assessment and Risk Yield (CANARY) to characterize lung adenocarcinomas. PLoS ONE. 13(6). e0198118–e0198118. 10 indexed citations
8.
Jacob, Joseph, Brian J. Bartholmai, Srinivasan Rajagopalan, et al.. (2017). Likelihood of pulmonary hypertension in patients with idiopathic pulmonary fibrosis and emphysema. Respirology. 23(6). 593–599. 27 indexed citations
9.
Jacob, Joseph, Brian J. Bartholmai, Srinivasan Rajagopalan, et al.. (2017). Functional and prognostic effects when emphysema complicates idiopathic pulmonary fibrosis. European Respiratory Journal. 50(1). 1700379–1700379. 63 indexed citations
10.
Jacob, Joseph, Brian J. Bartholmai, Ryoko Egashira, et al.. (2017). Chronic hypersensitivity pneumonitis: identification of key prognostic determinants using automated CT analysis. BMC Pulmonary Medicine. 17(1). 81–81. 42 indexed citations
11.
Clay, Ryan, Benjamin R. Kipp, Sarah M. Jenkins, et al.. (2017). Computer-Aided Nodule Assessment and Risk Yield (CANARY) may facilitate non-invasive prediction of EGFR mutation status in lung adenocarcinomas. Scientific Reports. 7(1). 17620–17620. 15 indexed citations
12.
Jacob, Joseph, Brian J. Bartholmai, Srinivasan Rajagopalan, et al.. (2017). Automated computer-based CT stratification as a predictor of outcome in hypersensitivity pneumonitis. European Radiology. 27(9). 3635–3646. 37 indexed citations
13.
Jacob, Joseph, Brian J. Bartholmai, Srinivasan Rajagopalan, et al.. (2016). Evaluation of computer-based computer tomography stratification against outcome models in connective tissue disease-related interstitial lung disease: a patient outcome study. BMC Medicine. 14(1). 190–190. 62 indexed citations
14.
Raghunath, Sushravya, Srinivasan Rajagopalan, Ronald A. Karwoski, et al.. (2014). Quantitative Stratification of Diffuse Parenchymal Lung Diseases. PLoS ONE. 9(3). e93229–e93229. 26 indexed citations
15.
Maldonado, Fabien, Jennifer M. Boland, Sushravya Raghunath, et al.. (2013). Noninvasive Characterization of the Histopathologic Features of Pulmonary Nodules of the Lung Adenocarcinoma Spectrum using Computer-Aided Nodule Assessment and Risk Yield (CANARY)—A Pilot Study. Journal of Thoracic Oncology. 8(4). 452–460. 53 indexed citations
16.
Maldonado, Fabien, Teng Moua, Srinivasan Rajagopalan, et al.. (2013). Automated quantification of radiological patterns predicts survival in idiopathic pulmonary fibrosis. European Respiratory Journal. 43(1). 204–212. 173 indexed citations
17.
Raghunath, Sushravya, Srinivasan Rajagopalan, Ronald A. Karwoski, Brian J. Bartholmai, & Richard A. Robb. (2011). Referenceless Stratification of Parenchymal Lung Abnormalities. Lecture notes in computer science. 14(Pt 3). 223–230. 3 indexed citations
18.
Rajagopalan, Srinivasan, Bruce M. Cameron, & Richard A. Robb. (2006). Tissue engineering templates using minimal surfaces.. PubMed. 119. 440–5. 1 indexed citations
19.
Rajagopalan, Srinivasan, Lichun Lu, Michael J. Yaszemski, & Richard A. Robb. (2005). Geometric modeling of space-optimal unit-cell-based tissue engineering scaffolds. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5744. 636–636. 1 indexed citations
20.
Rajagopalan, Srinivasan & Richard A. Robb. (2003). Independent component analysis assisted unsupervised multispectral classification. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5029. 725–725. 1 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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