Stefan Jaeger

7.6k total citations · 5 hit papers
95 papers, 4.8k citations indexed

About

Stefan Jaeger is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Stefan Jaeger has authored 95 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Computer Vision and Pattern Recognition, 31 papers in Radiology, Nuclear Medicine and Imaging and 23 papers in Artificial Intelligence. Recurrent topics in Stefan Jaeger's work include COVID-19 diagnosis using AI (26 papers), Digital Imaging for Blood Diseases (19 papers) and Handwritten Text Recognition Techniques (17 papers). Stefan Jaeger is often cited by papers focused on COVID-19 diagnosis using AI (26 papers), Digital Imaging for Blood Diseases (19 papers) and Handwritten Text Recognition Techniques (17 papers). Stefan Jaeger collaborates with scholars based in United States, Thailand and China. Stefan Jaeger's co-authors include Sameer Antani, George R. Thoma, Sema Candemir, Richard J. Maude, Mahdieh Poostchi, Kamolrat Silamut, Yì Wáng, Alexandros Karargyris, Kannappan Palaniappan and Zhiyun Xue and has published in prestigious journals such as Bioinformatics, IEEE Transactions on Pattern Analysis and Machine Intelligence and Biochemistry.

In The Last Decade

Stefan Jaeger

90 papers receiving 4.5k citations

Hit Papers

Two public chest X-ray datasets for computer-aided screen... 2013 2026 2017 2021 2014 2013 2013 2018 2018 200 400 600
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. Two public chest X-ray datasets for computer-aided screening of pulmonary diseases.
    2014 611 citations Stefan Jaeger, Sema Candemir et al. PubMed profile →
  2. Automatic Tuberculosis Screening Using Chest Radiographs
    2013 434 citations Stefan Jaeger, Alexandros Karargyris et al. profile →
  3. Lung Segmentation in Chest Radiographs Using Anatomical Atlases With Nonrigid Registration
    2013 415 citations Sema Candemir, Stefan Jaeger et al. profile →
  4. Pre-trained convolutional neural networks as feature extractors toward improved malaria parasite detection in thin blood smear images
    2018 329 citations Sivaramakrishnan Rajaraman, Sameer Antani et al. PeerJ profile →
  5. Image analysis and machine learning for detecting malaria
    2018 316 citations Mahdieh Poostchi, Kamolrat Silamut et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stefan Jaeger United States 31 2.6k 2.2k 1.4k 817 523 95 4.8k
George R. Thoma United States 32 3.0k 1.1× 2.4k 1.1× 2.4k 1.7× 523 0.6× 559 1.1× 237 5.8k
Sameer Antani United States 45 4.3k 1.6× 4.5k 2.0× 4.1k 2.9× 742 0.9× 1.0k 1.9× 331 9.7k
Juan Carlos Caicedo United States 36 1.4k 0.5× 234 0.1× 970 0.7× 288 0.4× 332 0.6× 106 5.4k
Feng Yang China 18 546 0.2× 1.2k 0.5× 502 0.4× 124 0.2× 640 1.2× 81 2.0k
Michael H. Goldbaum United States 36 3.0k 1.1× 6.1k 2.8× 327 0.2× 107 0.1× 159 0.3× 138 7.5k
Khalid M. Hosny Egypt 39 2.8k 1.1× 503 0.2× 1.6k 1.1× 524 0.6× 64 0.1× 182 5.1k
Reyer Zwiggelaar United Kingdom 27 1.2k 0.5× 1.6k 0.7× 2.2k 1.6× 140 0.2× 551 1.1× 142 3.4k
Yalin Zheng United Kingdom 33 1.7k 0.6× 3.2k 1.5× 608 0.4× 114 0.1× 166 0.3× 220 4.9k
Zhiyun Xue United States 24 1.1k 0.4× 1.4k 0.6× 1.2k 0.8× 834 1.0× 314 0.6× 102 3.1k
Muhammad Salman Khan Pakistan 20 530 0.2× 1.8k 0.8× 1.4k 1.0× 79 0.1× 392 0.7× 119 3.2k

Countries citing papers authored by Stefan Jaeger

Since Specialization
Citations

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

Fields of papers citing papers by Stefan Jaeger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefan Jaeger

This figure shows the co-authorship network connecting the top 25 collaborators of Stefan Jaeger. A scholar is included among the top collaborators of Stefan Jaeger 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 Stefan Jaeger. Stefan Jaeger 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.
2.
Gu, Jingwen, et al.. (2024). Automated Pulmonary Tuberculosis Severity Assessment on Chest X-rays. Journal of Imaging Informatics in Medicine. 37(5). 2173–2185. 5 indexed citations
3.
Yang, Feng, Ghada Zamzmi, Sivaramakrishnan Rajaraman, et al.. (2023). Assessing Inter-Annotator Agreement for Medical Image Segmentation. IEEE Access. 11. 21300–21312. 31 indexed citations
4.
5.
Kassim, Yasmin M., Feng Yang, Hang Yu, Richard J. Maude, & Stefan Jaeger. (2021). Diagnosing Malaria Patients with Plasmodium falciparum and vivax Using Deep Learning for Thick Smear Images. Diagnostics. 11(11). 1994–1994. 34 indexed citations
6.
Yang, Feng, Hang Yu, Manohar Karki, et al.. (2021). Differentiating between drug-sensitive and drug-resistant tuberculosis with machine learning for clinical and radiological features. Quantitative Imaging in Medicine and Surgery. 12(1). 675–687. 17 indexed citations
7.
Lure, Fleming, et al.. (2020). Using artificial intelligence to assist radiologists in distinguishing COVID-19 from other pulmonary infections. Journal of X-Ray Science and Technology. 29(1). 1–17. 21 indexed citations
8.
Lu, Yibo, et al.. (2020). Clinical and radiological features of novel coronavirus pneumonia. Journal of X-Ray Science and Technology. 28(3). 391–404. 42 indexed citations
9.
Rajaraman, Sivaramakrishnan, Stefan Jaeger, & Sameer Antani. (2019). Performance evaluation of deep neural ensembles toward malaria parasite detection in thin-blood smear images. PeerJ. 7. e6977–e6977. 133 indexed citations
10.
Vajda, Szilárd, Alexandros Karargyris, Stefan Jaeger, et al.. (2018). Feature Selection for Automatic Tuberculosis Screening in Frontal Chest Radiographs. Journal of Medical Systems. 42(8). 146–146. 115 indexed citations
11.
Rajaraman, Sivaramakrishnan, Sameer Antani, Mahdieh Poostchi, et al.. (2018). Pre-trained convolutional neural networks as feature extractors toward improved malaria parasite detection in thin blood smear images. PeerJ. 6. e4568–e4568. 329 indexed citations breakdown →
12.
Rajaraman, Sivaramakrishnan, Sameer Antani, & Stefan Jaeger. (2017). Visualizing Deep Learning Activations for Improved Malaria Cell Classification.. Knowledge Discovery and Data Mining. 40–47. 10 indexed citations
13.
Jaeger, Stefan, K Silamut, Hang Yu, et al.. (2017). REDUCING THE DIAGNOSTIC BURDEN OF MALARIA USING MICROSCOPY IMAGE ANALYSIS AND MACHINE LEARNING IN THE FIELD. American Journal of Tropical Medicine and Hygiene. 95. 475–475. 1 indexed citations
14.
Kwon, Jaeyul, Aibing Wang, Howard E. Boudreau, et al.. (2016). Peroxiredoxin 6 (Prdx6) supports NADPH oxidase1 (Nox1)-based superoxide generation and cell migration. Free Radical Biology and Medicine. 96. 99–115. 44 indexed citations
15.
Candemir, Sema, Sameer Antani, Stefan Jaeger, Renee Browning, & George R. Thoma. (2015). Lung boundary detection in pediatric chest x-rays. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9418. 94180Q–94180Q. 18 indexed citations
16.
Karargyris, Alexandros, Jenifer Siegelman, Stefan Jaeger, et al.. (2015). Combination of texture and shape features to detect pulmonary abnormalities in digital chest X-rays. International Journal of Computer Assisted Radiology and Surgery. 11(1). 99–106. 78 indexed citations
17.
Jaeger, Stefan, Alexandros Karargyris, Sameer Antani, & Grid Thoma. (2012). Detecting tuberculosis in radiographs using combined lung masks. PubMed. 2012. 4978–4981. 64 indexed citations
18.
Li, Yi, Yefeng Zheng, David Doermann, & Stefan Jaeger. (2008). Script-Independent Text Line Segmentation in Freestyle Handwritten Documents. IEEE Transactions on Pattern Analysis and Machine Intelligence. 30(8). 1313–1329. 151 indexed citations
19.
Zhu, Guangyu, Yefeng Zheng, David Doermann, & Stefan Jaeger. (2008). Signature Detection and Matching for Document Image Retrieval. IEEE Transactions on Pattern Analysis and Machine Intelligence. 31(11). 2015–2031. 58 indexed citations
20.

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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