Prateek Mathur

463 total citations
11 papers, 300 citations indexed

About

Prateek Mathur is a scholar working on Biomedical Engineering, Computer Vision and Pattern Recognition and Surgery. According to data from OpenAlex, Prateek Mathur has authored 11 papers receiving a total of 300 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Biomedical Engineering, 5 papers in Computer Vision and Pattern Recognition and 3 papers in Surgery. Recurrent topics in Prateek Mathur's work include Augmented Reality Applications (4 papers), Surgical Simulation and Training (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Prateek Mathur is often cited by papers focused on Augmented Reality Applications (4 papers), Surgical Simulation and Training (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Prateek Mathur collaborates with scholars based in Canada, Ireland and United States. Prateek Mathur's co-authors include Septimiu E. Salcudean, Ronan P. Killeen, Brendan S. Kelly, Aonghus Lawlor, Gerard M. Healy, Kristen W. Yeom, Conor Judge, Ingrid Spadinger, S. Sara Mahdavi and Purang Abolmaesumi and has published in prestigious journals such as American Journal of Neuroradiology, Medical Image Analysis and European Radiology.

In The Last Decade

Prateek Mathur

11 papers receiving 294 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Prateek Mathur Canada	7	115	109	82	66	55	11	300
Mehran Pesteie Canada	10	79 0.7×	108 1.0×	30 0.4×	43 0.7×	45 0.8×	15	251
Richard Droste United Kingdom	12	73 0.6×	77 0.7×	47 0.6×	68 1.0×	33 0.6×	28	390
Florin‐Cristian Ghesu United States	4	68 0.6×	127 1.2×	38 0.5×	48 0.7×	15 0.3×	4	266
Yuta Hiasa Japan	9	119 1.0×	79 0.7×	19 0.2×	71 1.1×	111 2.0×	15	282
Maria Antico Australia	9	98 0.9×	102 0.9×	21 0.3×	57 0.9×	87 1.6×	25	262
Thomas Yi United States	9	100 0.9×	153 1.4×	33 0.4×	18 0.3×	48 0.9×	15	251
Dongheon Lee South Korea	11	89 0.8×	137 1.3×	27 0.3×	64 1.0×	128 2.3×	27	397
Amir H. Abdi Canada	10	96 0.8×	167 1.5×	14 0.2×	50 0.8×	21 0.4×	23	392
Azira Khalil Malaysia	12	56 0.5×	150 1.4×	18 0.2×	58 0.9×	78 1.4×	24	340
Ryoungwoo Jang South Korea	7	113 1.0×	214 2.0×	49 0.6×	51 0.8×	35 0.6×	8	398

Countries citing papers authored by Prateek Mathur

Since Specialization

Citations

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

Fields of papers citing papers by Prateek Mathur

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Prateek Mathur

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

All Works

Sort: Min cites: Since: Top N: Style:

11 of 11 papers shown

Kelly, Brendan S., Prateek Mathur, Sarah Power, et al.. (2024). iSPAN: Explainable prediction of outcomes post thrombectomy with Machine Learning. European Journal of Radiology. 173. 111357–111357. 1 indexed citations

Kelly, Brendan S., Prateek Mathur, Edward H. Lee, et al.. (2024). A Radiomic “Warning Sign” of Progression on Brain MRI in Individuals with MS. American Journal of Neuroradiology. 45(2). 236–243. 4 indexed citations

Mathur, Prateek, et al.. (2024). Model-data-driven adversarial active learning for brain tumor segmentation. Computers in Biology and Medicine. 176. 108585–108585. 1 indexed citations

Kelly, Brendan S., et al.. (2023). Using deep learning–derived image features in radiologic time series to make personalised predictions: proof of concept in colonic transit data. European Radiology. 33(11). 8376–8386. 3 indexed citations

Kelly, Brendan S., Conor Judge, Gerard M. Healy, et al.. (2022). Radiology artificial intelligence: a systematic review and evaluation of methods (RAISE). European Radiology. 32(11). 7998–8007. 130 indexed citations

Mathur, Prateek, et al.. (2020). Evaluation of a marker-less, intra-operative, augmented reality guidance system for robot-assisted laparoscopic radical prostatectomy. International Journal of Computer Assisted Radiology and Surgery. 15(7). 1225–1233. 9 indexed citations

Mathur, Prateek, et al.. (2019). A “pickup” stereoscopic camera with visual-motor aligned control for the da Vinci surgical system: a preliminary study. International Journal of Computer Assisted Radiology and Surgery. 14(7). 1197–1206. 14 indexed citations

Karimi, Davood, Prateek Mathur, S. Sara Mahdavi, et al.. (2019). Accurate and robust deep learning-based segmentation of the prostate clinical target volume in ultrasound images. Medical Image Analysis. 57. 186–196. 86 indexed citations

Mathur, Prateek, et al.. (2019). Marker‐less real‐time intra‐operative camera and hand‐eye calibration procedure for surgical augmented reality. Healthcare Technology Letters. 6(6). 255–260. 12 indexed citations

10.

Mathur, Prateek, et al.. (2019). Robotics In Vivo: A Perspective on Human–Robot Interaction in Surgical Robotics. 3(1). 221–242. 33 indexed citations

11.

Mathur, Prateek, et al.. (2019). On the feasibility of transperineal 3D ultrasound image guidance for robotic radical prostatectomy. International Journal of Computer Assisted Radiology and Surgery. 14(6). 923–931. 7 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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