Suraj Pai

552 total citations · 1 hit paper
7 papers, 123 citations indexed

About

Suraj Pai is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation and Artificial Intelligence. According to data from OpenAlex, Suraj Pai has authored 7 papers receiving a total of 123 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Radiology, Nuclear Medicine and Imaging, 3 papers in Radiation and 3 papers in Artificial Intelligence. Recurrent topics in Suraj Pai's work include Radiomics and Machine Learning in Medical Imaging (4 papers), Medical Imaging Techniques and Applications (4 papers) and AI in cancer detection (3 papers). Suraj Pai is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (4 papers), Medical Imaging Techniques and Applications (4 papers) and AI in cancer detection (3 papers). Suraj Pai collaborates with scholars based in Netherlands, United States and Canada. Suraj Pai's co-authors include Mateo Sokač, Sanjay Singh, Ahmed Hosny, Simon Bernatz, Nicolai J. Birkbak, Hugo J.W.L. Aerts, Dennis Bontempi, Tafadzwa L. Chaunzwa, Raymond H. Mak and Alberto Traverso and has published in prestigious journals such as Nature Communications, Sensors and Radiotherapy and Oncology.

In The Last Decade

Suraj Pai

7 papers receiving 123 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Foundation model for cancer imaging biomarkers

2024 63 citations Suraj Pai, Dennis Bontempi et al. Nature Machine Intelligence profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Suraj Pai Netherlands	5	64	37	23	20	15	7	123
Martin Hedlund Sweden	6	37 0.6×	62 1.7×	8 0.3×	18 0.9×	12 0.8×	13	96
Dennis Bontempi United States	4	70 1.1×	34 0.9×	20 0.9×	14 0.7×	20 1.3×	10	109
Taman Upadhaya France	6	103 1.6×	58 1.6×	21 0.9×	24 1.2×	26 1.7×	12	142
Celeste Alves Portugal	4	19 0.3×	16 0.4×	21 0.9×	32 1.6×	6 0.4×	6	92
Manoj Tanwar United States	6	56 0.9×	18 0.5×	36 1.6×	14 0.7×	15 1.0×	20	130
L. Cerdá Alberich Spain	6	46 0.7×	13 0.4×	14 0.6×	13 0.7×	11 0.7×	16	98
Alain Jungo Switzerland	5	103 1.6×	36 1.0×	10 0.4×	26 1.3×	6 0.4×	9	164
Aliasghar Mortazi United States	3	81 1.3×	86 2.3×	19 0.8×	20 1.0×	21 1.4×	6	136
Stéphane Niyoteka France	5	187 2.9×	32 0.9×	11 0.5×	63 3.1×	23 1.5×	10	222
Émilie Alvarez Andres France	4	182 2.8×	35 0.9×	11 0.5×	66 3.3×	21 1.4×	5	223

Countries citing papers authored by Suraj Pai

Since Specialization

Citations

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

Fields of papers citing papers by Suraj Pai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suraj Pai

This figure shows the co-authorship network connecting the top 25 collaborators of Suraj Pai. A scholar is included among the top collaborators of Suraj Pai 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 Suraj Pai. Suraj Pai 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:

7 of 7 papers shown

1.

Pai, Suraj, Dennis Bontempi, Mateo Sokač, et al.. (2024). Foundation model for cancer imaging biomarkers. Nature Machine Intelligence. 6(3). 354–367. 63 indexed citations breakdown →

2.

Pai, Suraj, Adrian Thummerer, Peter J. Koopmans, et al.. (2024). 459: Generating synthetic computed tomography for radiotherapy: SynthRAD2023 challenge report. Radiotherapy and Oncology. 194. S3762–S3766. 1 indexed citations

3.

Bontempi, Dennis, Suraj Pai, Ahmed Hosny, et al.. (2024). End-to-end reproducible AI pipelines in radiology using the cloud. Nature Communications. 15(1). 6931–6931. 6 indexed citations

4.

Pai, Suraj, Ivan Zhovannik, André Dekker, et al.. (2023). Frequency-Domain-Based Structure Losses for CycleGAN-Based Cone-Beam Computed Tomography Translation. Sensors. 23(3). 1089–1089. 2 indexed citations

5.

Zhovannik, Ivan, Suraj Pai, André Dekker, et al.. (2021). Radiomics integration into a picture archiving and communication system. Physics and Imaging in Radiation Oncology. 20. 30–33. 5 indexed citations

6.

Fu, Yabo, Hao Zhang, Eric Morris, et al.. (2021). Artificial Intelligence in Radiation Therapy. IEEE Transactions on Radiation and Plasma Medical Sciences. 6(2). 158–181. 28 indexed citations

7.

Pai, Suraj, et al.. (2019). Automated 3D sign language caption generation for video. Universal Access in the Information Society. 19(4). 725–738. 18 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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