Curtis P. Langlotz

20.8k total citations · 3 hit papers
181 papers, 7.9k citations indexed

About

Curtis P. Langlotz is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Curtis P. Langlotz has authored 181 papers receiving a total of 7.9k indexed citations (citations by other indexed papers that have themselves been cited), including 107 papers in Radiology, Nuclear Medicine and Imaging, 54 papers in Artificial Intelligence and 46 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Curtis P. Langlotz's work include Radiology practices and education (64 papers), Radiomics and Machine Learning in Medical Imaging (36 papers) and Radiation Dose and Imaging (32 papers). Curtis P. Langlotz is often cited by papers focused on Radiology practices and education (64 papers), Radiomics and Machine Learning in Medical Imaging (36 papers) and Radiation Dose and Imaging (32 papers). Curtis P. Langlotz collaborates with scholars based in United States, Canada and United Kingdom. Curtis P. Langlotz's co-authors include Matthew P. Lungren, Daniel L. Rubin, David B. Larson, Saeed Hassanpour, Bernard A. Birnbaum, Edward H. Shortliffe, Jill E. Jacobs, Safwan S. Halabi, Mitchell D. Schnall and Nicholas Stence and has published in prestigious journals such as Nature, Circulation and Nature Medicine.

In The Last Decade

Curtis P. Langlotz

175 papers receiving 7.6k citations

Hit Papers

Video-based AI for beat-to-beat assessment of cardiac fun... 2020 2026 2022 2024 2020 2024 2022 100 200 300 400 500
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.

  1. Video-based AI for beat-to-beat assessment of cardiac function
    2020 519 citations David Ouyang, Bryan He et al. Nature profile →
  2. Adapted large language models can outperform medical experts in clinical text summarization
    2024 252 citations Dave Van Veen, Cara Van Uden et al. profile →
  3. Expert-level detection of pathologies from unannotated chest X-ray images via self-supervised learning
    2022 189 citations Curtis P. Langlotz, Andrew Y. Ng et al. Nature Biomedical Engineering profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Curtis P. Langlotz United States 48 3.9k 2.2k 1.4k 1.1k 898 181 7.9k
Bradley J. Erickson United States 49 4.5k 1.2× 1.8k 0.8× 1.1k 0.8× 1.5k 1.3× 1.4k 1.5× 280 10.4k
Marcus R. Makowski Germany 38 3.1k 0.8× 1.2k 0.5× 799 0.6× 1.4k 1.3× 937 1.0× 362 6.7k
Matthew P. Lungren United States 36 2.9k 0.7× 2.3k 1.0× 1.4k 1.0× 669 0.6× 774 0.9× 96 6.1k
Lily Peng United States 19 5.9k 1.5× 2.6k 1.2× 1.6k 1.2× 1.1k 1.0× 805 0.9× 41 9.8k
Liming Xia China 32 5.5k 1.4× 1.4k 0.6× 546 0.4× 1.2k 1.1× 1.0k 1.1× 150 9.6k
Roberto A. Novoa United States 15 2.5k 0.6× 3.5k 1.6× 1.2k 0.9× 701 0.6× 852 0.9× 78 8.7k
Justin Ko United States 22 2.6k 0.7× 3.7k 1.7× 1.3k 0.9× 685 0.6× 872 1.0× 89 9.8k
Andre Esteva United States 13 3.6k 0.9× 4.9k 2.3× 2.0k 1.4× 902 0.8× 1.3k 1.5× 30 11.9k
Daniel Shu Wei Ting Singapore 48 7.0k 1.8× 1.9k 0.9× 2.2k 1.5× 422 0.4× 644 0.7× 184 12.9k
Francesco Sardanelli Italy 49 4.8k 1.2× 1.0k 0.5× 602 0.4× 1.7k 1.6× 1.1k 1.2× 405 10.3k

Countries citing papers authored by Curtis P. Langlotz

Since Specialization
Citations

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

Fields of papers citing papers by Curtis P. Langlotz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Curtis P. Langlotz. 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 Curtis P. Langlotz. The network helps show where Curtis P. Langlotz may publish in the future.

Co-authorship network of co-authors of Curtis P. Langlotz

This figure shows the co-authorship network connecting the top 25 collaborators of Curtis P. Langlotz. A scholar is included among the top collaborators of Curtis P. Langlotz 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 Curtis P. Langlotz. Curtis P. Langlotz 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.
Paschali, Magdalini, Zhihong Chen, Louis Blankemeier, et al.. (2025). Foundation Models in Radiology: What, How, Why, and Why Not. Radiology. 314(2). e240597–e240597. 17 indexed citations
2.
Gatidis, Sergios, et al.. (2025). Structuring Radiology Reports: Challenging LLMs with Lightweight Models. 7718–7735.
3.
Chen, Zhihong, Maya Varma, Louis Blankemeier, et al.. (2024). GREEN: Generative Radiology Report Evaluation and Error Notation. 374–390. 8 indexed citations
4.
Bluethgen, Christian, Pierre Chambon, Jean-Benoit Delbrouck, et al.. (2024). A vision–language foundation model for the generation of realistic chest X-ray images. Nature Biomedical Engineering. 9(4). 494–506. 28 indexed citations
5.
Delbrouck, Jean-Benoit, Pierre Chambon, Zhi Hong Chen, et al.. (2024). RadGraph-XL: A Large-Scale Expert-Annotated Dataset for Entity and Relation Extraction from Radiology Reports. 12902–12915. 1 indexed citations
6.
Dwivedi, Krit, et al.. (2023). External validation, radiological evaluation, and development of deep learning automatic lung segmentation in contrast-enhanced chest CT. European Radiology. 34(4). 2727–2737. 6 indexed citations
7.
Yu, Feiyang, Rayan Krishnan, Ian Pan, et al.. (2023). Evaluating progress in automatic chest X-ray radiology report generation. Patterns. 4(9). 100802–100802. 57 indexed citations
8.
Veen, Dave Van, Cara Van Uden, Anuj Pareek, et al.. (2023). RadAdapt: Radiology Report Summarization via Lightweight Domain Adaptation of Large Language Models. 449–460. 11 indexed citations
9.
Youssef, Alaa, Madelena Y. Ng, Jonathan Z. Long, et al.. (2023). Organizational Factors in Clinical Data Sharing for Artificial Intelligence in Health Care. JAMA Network Open. 6(12). e2348422–e2348422. 13 indexed citations
10.
Daye, Dania, Walter F. Wiggins, Matthew P. Lungren, et al.. (2022). Implementation of Clinical Artificial Intelligence in Radiology: Who Decides and How?. Radiology. 305(3). 555–563. 70 indexed citations
11.
Zhang, Yuhao, et al.. (2021). Biomedical and clinical English model packages for the Stanza Python NLP library. Journal of the American Medical Informatics Association. 28(9). 1892–1899. 72 indexed citations
12.
Ouyang, David, Bryan He, Amirata Ghorbani, et al.. (2020). Video-based AI for beat-to-beat assessment of cardiac function. Nature. 580(7802). 252–256. 519 indexed citations breakdown →
13.
14.
Patel, Bhavik N., Louis Rosenberg, Gregg Willcox, et al.. (2019). Human–machine partnership with artificial intelligence for chest radiograph diagnosis. npj Digital Medicine. 2(1). 111–111. 140 indexed citations
15.
Wang, Xuan, Yu Zhang, Xiang Ren, et al.. (2018). Cross-type biomedical named entity recognition with deep multi-task learning. Bioinformatics. 35(10). 1745–1752. 180 indexed citations
16.
Zaharchuk, Greg, Enhao Gong, Max Wintermark, Daniel L. Rubin, & Curtis P. Langlotz. (2018). Deep Learning in Neuroradiology. American Journal of Neuroradiology. 39(10). 1776–1784. 215 indexed citations
17.
Lee, Christoph I., Curtis P. Langlotz, & Joann G. Elmore. (2016). Implications of Direct Patient Online Access to Radiology Reports Through Patient Web Portals. Journal of the American College of Radiology. 13(12). 1608–1614. 72 indexed citations
18.
19.
Langlotz, Curtis P. & Edward H. Shortliffe. (1989). Logical and decision-theoretic methods for planning under uncertainty. AI Magazine. 10(1). 39–46. 14 indexed citations
20.
Horvitz, Eric, David Heckerman, & Curtis P. Langlotz. (1986). A framework for comparing alternative formalisms for plausible reasoning. National Conference on Artificial Intelligence. 210–214. 53 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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