Anurag Vaidya

36 total papers · 2.0k total citations
10 papers, 794 citations indexed

About

Anurag Vaidya is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Anurag Vaidya has authored 10 papers receiving a total of 794 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 4 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Molecular Biology. Recurrent topics in Anurag Vaidya's work include AI in cancer detection (6 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Biomedical Text Mining and Ontologies (2 papers). Anurag Vaidya is often cited by papers focused on AI in cancer detection (6 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Biomedical Text Mining and Ontologies (2 papers). Anurag Vaidya collaborates with scholars based in United States. Anurag Vaidya's co-authors include Drew F. K. Williamson, Faisal Mahmood, Ming Y. Lu, Richard J. Chen, Muhammad Shaban, Bowen Chen, Guillaume Jaume, Andrew H. Song, Tiffany Chen and Jana Lipková and has published in prestigious journals such as Nature Medicine, Cancer Cell and Neuro-Oncology.

In The Last Decade

Anurag Vaidya

8 papers receiving 780 citations

Hit Papers

normalize citations (0→100%) normalize lifespan (0→100%) sort by overperformance

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 benchmark for papers published in the same subfield and year, or reaches the top citation threshold in at least one of its specific research topics.

Artificial intelligence for multimodal data integration in oncology

2022 315 citations Jana Lipková, Richard J. Chen et al. Cancer Cell profile →
Towards a general-purpose foundation model for computational pathology

2024 294 citations Richard J. Chen, Tong Ding et al. Nature Medicine profile →
Artificial intelligence for digital and computational pathology

2023 94 citations Andrew H. Song, Guillaume Jaume et al. Nature Reviews Bioengineering profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Anurag Vaidya	443	395	125	120	107	10	794
Niels Olson	465 1.0×	368 0.9×	137 1.1×	79 0.7×	98 0.9×	9	730
Chengkuan Chen	469 1.1×	362 0.9×	116 0.9×	109 0.9×	165 1.5×	5	757
Pooya Mobadersany	430 1.0×	418 1.1×	58 0.5×	113 0.9×	93 0.9×	9	711
Guillaume Jaume	521 1.2×	388 1.0×	92 0.7×	108 0.9×	194 1.8×	14	800
Safoora Yousefi	475 1.1×	454 1.1×	59 0.5×	173 1.4×	95 0.9×	7	872
Benoît Schmauch	363 0.8×	443 1.1×	57 0.5×	111 0.9×	68 0.6×	14	746
José E. Velázquez Vega	401 0.9×	412 1.0×	54 0.4×	152 1.3×	76 0.7×	15	814
Robert MacDonald	513 1.2×	427 1.1×	145 1.2×	138 1.1×	146 1.4×	15	981
Judy J. Wang	354 0.8×	266 0.7×	178 1.4×	74 0.6×	88 0.8×	13	704
Ellery Wulczyn	741 1.7×	353 0.9×	73 0.6×	69 0.6×	90 0.8×	16	976

Countries citing papers authored by Anurag Vaidya

Since Specialization

Citations

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

Fields of papers citing papers by Anurag Vaidya

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anurag Vaidya

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

All Works

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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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