Krithika Rangarajan

632 total citations
29 papers, 184 citations indexed

About

Krithika Rangarajan is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Artificial Intelligence. According to data from OpenAlex, Krithika Rangarajan has authored 29 papers receiving a total of 184 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Radiology, Nuclear Medicine and Imaging, 11 papers in Pulmonary and Respiratory Medicine and 7 papers in Artificial Intelligence. Recurrent topics in Krithika Rangarajan's work include Radiomics and Machine Learning in Medical Imaging (8 papers), Artificial Intelligence in Healthcare and Education (6 papers) and Lung Cancer Diagnosis and Treatment (5 papers). Krithika Rangarajan is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (8 papers), Artificial Intelligence in Healthcare and Education (6 papers) and Lung Cancer Diagnosis and Treatment (5 papers). Krithika Rangarajan collaborates with scholars based in India, United Kingdom and United States. Krithika Rangarajan's co-authors include Amit Gupta, Somesh Gupta, Chetan Arora, Smriti Hari, Atin Kumar, Kamran Farooque, Shivanand Gamanagatti, Vijay Sharma, Subir Kumar Saha and Deepak Raina and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Radiology.

In The Last Decade

Krithika Rangarajan

25 papers receiving 179 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Krithika Rangarajan India 7 66 57 41 39 32 29 184
Akiko Yamamoto Japan 6 33 0.5× 60 1.1× 65 1.6× 24 0.6× 49 1.5× 20 245
Ameer Khan United Kingdom 6 111 1.7× 71 1.2× 43 1.0× 51 1.3× 17 0.5× 14 260
Shier Nee Saw Malaysia 11 84 1.3× 41 0.7× 29 0.7× 34 0.9× 29 0.9× 25 290
Yuming Chong China 9 77 1.2× 20 0.4× 64 1.6× 21 0.5× 54 1.7× 39 293
Feyisope Eweje United States 6 138 2.1× 57 1.0× 28 0.7× 78 2.0× 34 1.1× 9 239
David Coronado-Gutiérrez Spain 6 71 1.1× 41 0.7× 32 0.8× 82 2.1× 30 0.9× 11 251
Hanya Mahmood United Kingdom 11 145 2.2× 52 0.9× 51 1.2× 159 4.1× 30 0.9× 21 419
Y Zhang China 7 70 1.1× 99 1.7× 30 0.7× 36 0.9× 14 0.4× 33 258
Yaser Ali Alhazmi Saudi Arabia 8 81 1.2× 34 0.6× 8 0.2× 69 1.8× 21 0.7× 20 258
Fred Nugen United States 6 93 1.4× 74 1.3× 21 0.5× 36 0.9× 11 0.3× 10 174

Countries citing papers authored by Krithika Rangarajan

Since Specialization
Citations

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

Fields of papers citing papers by Krithika Rangarajan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Krithika Rangarajan

This figure shows the co-authorship network connecting the top 25 collaborators of Krithika Rangarajan. A scholar is included among the top collaborators of Krithika Rangarajan 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 Krithika Rangarajan. Krithika Rangarajan 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, Amit, et al.. (2025). Integrating Large language models into radiology workflow: Impact of generating personalized report templates from summary. European Journal of Radiology. 189. 112198–112198. 1 indexed citations
2.
Gupta, Amit, Swarndeep Singh, Aparna Sharma, et al.. (2025). Provision of Radiology Reports Simplified With Large Language Models to Patients With Cancer: Impact on Patient Satisfaction. JCO Clinical Cancer Informatics. 9(9). e2400166–e2400166. 6 indexed citations
3.
Rangarajan, Krithika, Amit Gupta, Smriti Hari, et al.. (2024). Simulation training in mammography with AI-generated images: a multireader study. European Radiology. 35(2). 562–571. 4 indexed citations
4.
Gupta, Amit, et al.. (2024). Comparative Evaluation of Large Language Models for Translating Radiology Reports into Hindi. SHILAP Revista de lepidopterología. 35(1). 88–96. 3 indexed citations
5.
Ganguly, Shuvadeep, et al.. (2024). Improving lung nodule segmentation in thoracic CT scans through the ensemble of 3D U-Net models. International Journal of Computer Assisted Radiology and Surgery. 19(10). 2089–2099. 3 indexed citations
6.
7.
Rangarajan, Krithika, et al.. (2023). Reproducibility and Explainability of Deep Learning in Mammography: A Systematic Review of Literature. SHILAP Revista de lepidopterología. 34(3). 469–487. 3 indexed citations
8.
Ganguly, Shuvadeep, Manish Kumar Saini, Krithika Rangarajan, et al.. (2023). Fully automatic deep learning-based lung parenchyma segmentation and boundary correction in thoracic CT scans. International Journal of Computer Assisted Radiology and Surgery. 19(2). 261–272. 5 indexed citations
9.
Ganguly, Shuvadeep, Manish Kumar Saini, Krithika Rangarajan, et al.. (2023). A proposed methodology for detecting the malignant potential of pulmonary nodules in sarcoma using computed tomographic imaging and artificial intelligence-based models. Frontiers in Oncology. 13. 1212526–1212526. 4 indexed citations
10.
Rangarajan, Krithika, et al.. (2022). Ultra-high resolution, multi-scale, context-aware approach for detection of small cancers on mammography. Scientific Reports. 12(1). 11622–11622. 8 indexed citations
11.
Ramachandran, Anupama, et al.. (2022). Basic principles of AI simplified for a Medical Practitioner: Pearls and Pitfalls in Evaluating AI algorithms. Current Problems in Diagnostic Radiology. 52(1). 47–55. 4 indexed citations
12.
Bhatla, Neerja, Prabhat Singh Malik, Sandeep Mathur, et al.. (2022). Central nervous system metastasis from epithelial ovarian cancer- predictors of outcome. Current Problems in Cancer. 47(1). 100918–100918. 1 indexed citations
13.
Chandrashekhara, S. H., Krithika Rangarajan, Sanjay Thulkar, et al.. (2022). Robotic ultrasound: An initial feasibility study. World Journal of Methodology. 12(4). 274–284. 5 indexed citations
14.
Rangarajan, Krithika, et al.. (2021). Role of Transperineal Ultrasound (TPUS) in Children with Ambiguous Genitalia. Indian journal of radiology and imaging - new series/Indian journal of radiology and imaging/Indian Journal of Radiology & Imaging. 31(1). 49–56.
15.
Rangarajan, Krithika, et al.. (2017). Peril of missing a double gall bladder: report of a patient who needed cholecystectomy two times over. BMJ Case Reports. 2017. bcr2016218248–bcr2016218248. 2 indexed citations
16.
Rangarajan, Krithika, Smriti Hari, Sanjay Thulkar, et al.. (2016). Characterization of lesions in dense breasts: Does tomosynthesis help?. Indian journal of radiology and imaging - new series/Indian journal of radiology and imaging/Indian Journal of Radiology & Imaging. 26(2). 210–215. 9 indexed citations
17.
Gamanagatti, Shivanand, et al.. (2015). Imaging evaluation of traumatic thoracolumbar spine injuries: Radiological review. World Journal of Radiology. 7(9). 253–253. 20 indexed citations
18.
Rangarajan, Krithika. (2014). MRI in central nervous system infections: A simplified patterned approach. World Journal of Radiology. 6(9). 716–716. 12 indexed citations
19.
Goyal, Ankur, Krithika Rangarajan, Prabhjot Singh, & Chandan J. Das. (2014). Role of imaging in successful management of malignant ovarian vein thrombosis in RCC. BMJ Case Reports. 2014. bcr2013201576–bcr2013201576. 2 indexed citations
20.
Rangarajan, Krithika, et al.. (2010). Disance (enhance the disabled) brain mapped mobility for physically challenged. International Conference on Software Engineering. 555–560.

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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