David R. Haynor

16.3k total citations · 1 hit paper
215 papers, 7.8k citations indexed

About

David R. Haynor is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, David R. Haynor has authored 215 papers receiving a total of 7.8k indexed citations (citations by other indexed papers that have themselves been cited), including 105 papers in Radiology, Nuclear Medicine and Imaging, 63 papers in Biomedical Engineering and 41 papers in Computer Vision and Pattern Recognition. Recurrent topics in David R. Haynor's work include Medical Imaging Techniques and Applications (54 papers), Medical Image Segmentation Techniques (34 papers) and Advanced X-ray and CT Imaging (28 papers). David R. Haynor is often cited by papers focused on Medical Imaging Techniques and Applications (54 papers), Medical Image Segmentation Techniques (34 papers) and Advanced X-ray and CT Imaging (28 papers). David R. Haynor collaborates with scholars based in United States, United Kingdom and Egypt. David R. Haynor's co-authors include T.K. Lewellen, Hubert Vesselle, William B. Eubank, Ka Yee Yeung, Walter L. Ruzzo, Richard A. Deyo, Yongmin Kim, Y. Kim, Michel Kliot and Dev S. Pathak and has published in prestigious journals such as Nucleic Acids Research, Journal of the American Statistical Association and Bioinformatics.

In The Last Decade

David R. Haynor

206 papers receiving 7.5k citations

Hit Papers

PET-CT image registration in the chest using free-form de... 2003 2026 2010 2018 2003 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David R. Haynor United States 47 2.8k 1.5k 1.5k 1.3k 1.1k 215 7.8k
Paul A. Yushkevich United States 45 7.9k 2.8× 3.2k 2.1× 1.9k 1.2× 1.4k 1.0× 912 0.8× 218 18.2k
Li Wang China 68 4.9k 1.8× 4.8k 3.1× 1.4k 0.9× 591 0.4× 2.5k 2.3× 828 18.6k
Benoît M. Dawant United States 56 2.8k 1.0× 2.9k 1.9× 1.9k 1.3× 978 0.7× 441 0.4× 379 10.6k
Nicholas J. Tustison United States 33 5.4k 2.0× 1.8k 1.2× 864 0.6× 290 0.2× 649 0.6× 133 12.1k
M. Jorge Cardoso United Kingdom 44 3.5k 1.3× 2.2k 1.4× 1.1k 0.7× 400 0.3× 619 0.6× 253 10.2k
Frederik Maes Belgium 50 5.3k 1.9× 5.1k 3.3× 2.1k 1.4× 759 0.6× 762 0.7× 307 13.5k
Jayaram K. Udupa United States 59 3.8k 1.4× 5.7k 3.7× 1.8k 1.2× 935 0.7× 409 0.4× 428 12.1k
Reto Meuli Switzerland 61 7.5k 2.7× 427 0.3× 1.1k 0.7× 1.4k 1.1× 845 0.8× 311 18.0k
Luis Martí‐Bonmatí Spain 41 2.5k 0.9× 767 0.5× 704 0.5× 1.1k 0.9× 444 0.4× 420 7.3k
Sean Ho United States 7 2.7k 1.0× 953 0.6× 1.1k 0.7× 948 0.7× 368 0.3× 13 6.7k

Countries citing papers authored by David R. Haynor

Since Specialization
Citations

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

Fields of papers citing papers by David R. Haynor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David R. Haynor. 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 David R. Haynor. The network helps show where David R. Haynor may publish in the future.

Co-authorship network of co-authors of David R. Haynor

This figure shows the co-authorship network connecting the top 25 collaborators of David R. Haynor. A scholar is included among the top collaborators of David R. Haynor 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 David R. Haynor. David R. Haynor 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
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Grabowski, Thomas J., et al.. (2021). Learning Cortical Parcellations Using Graph Neural Networks. Frontiers in Neuroscience. 15. 797500–797500. 11 indexed citations
5.
Perez, Francisco A., Jeffrey G. Jarvik, Quyen T. Nguyen, et al.. (2019). Lumbar Spinal Stenosis Severity by CT or MRI Does Not Predict Response to Epidural Corticosteroid versus Lidocaine Injections. American Journal of Neuroradiology. 40(5). 908–915. 5 indexed citations
6.
Claypoole, Keith H., Paul E. Holtzheimer, John F. Neumaier, et al.. (2014). No Change in Neuropsychological Functioning After Receiving Repetitive Transcranial Magnetic Stimulation Treatment for Major Depression. Journal of Ect. 30(4). 320–324. 28 indexed citations
7.
Glocker, Ben, Darko Zikic, Ender Konukoğlu, David R. Haynor, & Antonio Criminisi. (2013). Vertebrae Localization in Pathological Spine CT via Dense Classification from Sparse Annotations. Lecture notes in computer science. 16(Pt 2). 262–270. 101 indexed citations
8.
Dawant, Benoît M. & David R. Haynor. (2010). Medical Imaging 2010: Physics of Medical Imaging. Research Explorer (The University of Manchester). 77 indexed citations
9.
Avery, David, Paul E. Holtzheimer, Joan Russo, et al.. (2007). Transcranial Magnetic Stimulation Reduces Pain in Patients With Major Depression. The Journal of Nervous and Mental Disease. 195(5). 378–381. 64 indexed citations
10.
Haynor, David R., et al.. (2006). Intravascular hematocrit layering in equilibrium phase contrast‐enhanced MR angiography of the peripheral vasculature. Journal of Magnetic Resonance Imaging. 24(6). 1393–1400. 7 indexed citations
11.
Gong, Lixin, Lydia Ng, Dev S. Pathak, et al.. (2005). Prostate ultrasound image segmentation using level set-based region flow with shape guidance. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5747. 1648–1648. 13 indexed citations
12.
Haynor, David R., et al.. (2005). Scatter Correction In Single-photon Imaging Using Multiple Energy Bins And Minimum-risk Estimators. 29. 1159–1163. 1 indexed citations
13.
Avery, David, Paul E. Holtzheimer, Joan Russo, et al.. (2005). A Controlled Study of Repetitive Transcranial Magnetic Stimulation in Medication-Resistant Major Depression. Biological Psychiatry. 59(2). 187–194. 244 indexed citations
14.
Barillot, Christian, et al.. (2004). Medical image computing and computer-assisted intervention - MICCAI 2004 : 7th International Conference, Saint-Malo, France, September 26-29, 2004 : proceedings. Springer eBooks. 4 indexed citations
15.
Haynor, David R., et al.. (2001). A finite-element study of the effects of electrode position on the measured impedance change in impedance cardiography. IEEE Transactions on Biomedical Engineering. 48(12). 1390–1401. 18 indexed citations
16.
Wang, Yalin, P.H. Schimpf, David R. Haynor, Gust H. Bardy, & Yong Min Kim. (1999). Analysis of defibrillation efficacy from myocardial voltage gradients with finite element modeling. IEEE Transactions on Biomedical Engineering. 46(9). 1025–1036. 10 indexed citations
17.
Chalana, Vikram, et al.. (1996). Automatic fetal head measurements from sonographic images. Academic Radiology. 3(8). 628–635. 50 indexed citations
18.
Barfield, Woodrow, et al.. (1989). The design analysis of a medical imaging workstation. International Conference on Human-Computer Interaction. 286–293. 1 indexed citations
19.
Shuman, William P., Brian R. Griffin, David R. Haynor, et al.. (1987). The utility of MR in planning the radiation therapy of oligodendroglioma. American Journal of Roentgenology. 148(3). 595–600. 4 indexed citations
20.
Haynor, David R. & William P. Shuman. (1984). Double contrast CT arthrography of the glenoid labrum and shoulder girdle. Radiographics. 4(3). 411–421. 12 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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