Manudeep Kalra

832 total citations
14 papers, 380 citations indexed

About

Manudeep Kalra is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Manudeep Kalra has authored 14 papers receiving a total of 380 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Artificial Intelligence and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Manudeep Kalra's work include Radiomics and Machine Learning in Medical Imaging (6 papers), Radiation Dose and Imaging (4 papers) and Artificial Intelligence in Healthcare and Education (3 papers). Manudeep Kalra is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (6 papers), Radiation Dose and Imaging (4 papers) and Artificial Intelligence in Healthcare and Education (3 papers). Manudeep Kalra collaborates with scholars based in United States, India and Italy. Manudeep Kalra's co-authors include Sanjay Saxena, Sudip Paul, Jasjit S. Suri, Luca Saba, Mostafa M. Fouda, Biswajit Jena, John R. Laird, Luca Saba, Neha Gupta and Jasjit S. Suri and has published in prestigious journals such as IEEE Access, Cancers and Computers in Biology and Medicine.

In The Last Decade

Manudeep Kalra

12 papers receiving 373 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Manudeep Kalra United States 11 208 96 87 48 45 14 380
Khashayar Namdar Canada 10 280 1.3× 71 0.7× 81 0.9× 109 2.3× 37 0.8× 26 470
Polyxeni Gkontra Spain 14 240 1.2× 102 1.1× 157 1.8× 41 0.9× 94 2.1× 31 616
Sungwon Ham South Korea 9 202 1.0× 63 0.7× 69 0.8× 90 1.9× 40 0.9× 18 385
Fredrik Löfman Sweden 6 264 1.3× 81 0.8× 115 1.3× 73 1.5× 70 1.6× 9 422
Akshayaa Vaidyanathan Netherlands 10 268 1.3× 84 0.9× 79 0.9× 111 2.3× 51 1.1× 18 472
Lucas Fidon United Kingdom 6 216 1.0× 84 0.9× 131 1.5× 45 0.9× 25 0.6× 13 447
Birgit Ertl‐Wagner Canada 9 152 0.7× 42 0.4× 64 0.7× 39 0.8× 108 2.4× 32 349
Adrian Ion‐Mărgineanu United States 7 131 0.6× 47 0.5× 107 1.2× 29 0.6× 39 0.9× 16 314
Keewon Shin South Korea 9 199 1.0× 131 1.4× 122 1.4× 45 0.9× 58 1.3× 21 455
Andrew Colucci United States 5 227 1.1× 71 0.7× 84 1.0× 75 1.6× 74 1.6× 8 380

Countries citing papers authored by Manudeep Kalra

Since Specialization
Citations

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

Fields of papers citing papers by Manudeep Kalra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manudeep Kalra

This figure shows the co-authorship network connecting the top 25 collaborators of Manudeep Kalra. A scholar is included among the top collaborators of Manudeep Kalra 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 Manudeep Kalra. Manudeep Kalra is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
2.
Agarwal, Sushant, Alessandro Carriero, R. Gobinath, et al.. (2024). COVLIAS 3.0: cloud-based quantized hybrid UNet3+ deep learning for COVID-19 lesion detection in lung computed tomography. Frontiers in Artificial Intelligence. 7. 1304483–1304483. 2 indexed citations
3.
Saxena, Sanjay, Biswajit Jena, Neha Gupta, et al.. (2023). Fused deep learning paradigm for the prediction of o6-methylguanine-DNA methyltransferase genotype in glioblastoma patients: A neuro-oncological investigation. Computers in Biology and Medicine. 153. 106492–106492. 27 indexed citations
4.
Kumar, Ashish, Suneet Kumar Gupta, Mrinalini Bhagawati, et al.. (2023). Artificial intelligence bias in medical system designs: a systematic review. Multimedia Tools and Applications. 83(6). 18005–18057. 18 indexed citations
5.
Suri, Jasjit S., Mrinalini Bhagawati, Sudip Paul, et al.. (2022). A Powerful Paradigm for Cardiovascular Risk Stratification Using Multiclass, Multi-Label, and Ensemble-Based Machine Learning Paradigms: A Narrative Review. Diagnostics. 12(3). 722–722. 27 indexed citations
6.
7.
Suri, Jasjit S., Mrinalini Bhagawati, Sudip Paul, et al.. (2022). Understanding the bias in machine learning systems for cardiovascular disease risk assessment: The first of its kind review. Computers in Biology and Medicine. 142. 105204–105204. 47 indexed citations
8.
Paul, Sudip, Mahesh Maindarkar, Sanjay Saxena, et al.. (2022). Bias Investigation in Artificial Intelligence Systems for Early Detection of Parkinson’s Disease: A Narrative Review. Diagnostics. 12(1). 166–166. 33 indexed citations
9.
Saxena, Sanjay, Biswajit Jena, Neha Gupta, et al.. (2022). Role of Artificial Intelligence in Radiogenomics for Cancers in the Era of Precision Medicine. Cancers. 14(12). 2860–2860. 66 indexed citations
10.
Jena, Biswajit, Sanjay Saxena, Gopal Krishna Nayak, et al.. (2022). Brain Tumor Characterization Using Radiogenomics in Artificial Intelligence Framework. Cancers. 14(16). 4052–4052. 44 indexed citations
11.
Ghoshhajra, Brian, Mihály Károlyi, Manavjot Sidhu, et al.. (2012). Cardiac Computed Tomography Angiography With Automatic Tube Potential Selection. Journal of Thoracic Imaging. 28(1). 40–48. 40 indexed citations
12.
Woisetschläger, Mischa, Nils Dahlström, Surinder Singh, et al.. (2012). Radiation dose reduction with Sinogram Affirmed Iterative REconstruction (Safire) technique for abdominal CT.
13.
Ghoshhajra, Brian, Manavjot Sidhu, Mihály Károlyi, et al.. (2011). Direct chest area measurement: A potential anthropometric replacement for BMI to inform cardiac CT dose parameters?. Journal of cardiovascular computed tomography. 5(4). 240–246. 22 indexed citations
14.
Kalra, Manudeep, et al.. (2005). Multidetector row CT in pediatric musculoskeletal imaging. Pediatric Radiology. 35(6). 555–564. 15 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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