Brian E. Chapman

2.0k total citations
57 papers, 1.4k citations indexed

About

Brian E. Chapman is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Artificial Intelligence. According to data from OpenAlex, Brian E. Chapman has authored 57 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Radiology, Nuclear Medicine and Imaging, 21 papers in Pulmonary and Respiratory Medicine and 15 papers in Artificial Intelligence. Recurrent topics in Brian E. Chapman's work include Medical Image Segmentation Techniques (13 papers), Advanced MRI Techniques and Applications (12 papers) and Biomedical Text Mining and Ontologies (11 papers). Brian E. Chapman is often cited by papers focused on Medical Image Segmentation Techniques (13 papers), Advanced MRI Techniques and Applications (12 papers) and Biomedical Text Mining and Ontologies (11 papers). Brian E. Chapman collaborates with scholars based in United States, Sweden and Australia. Brian E. Chapman's co-authors include Wendy W. Chapman, Dennis L. Parker, Curtis P. Langlotz, Matthew P. Lungren, N Moradzadeh, Timothy J. Amrhein, Sean Lee, Hyunseok P. Kang, Peter J. Haug and Andrew L. Alexander and has published in prestigious journals such as Radiology, Biochemical and Biophysical Research Communications and Magnetic Resonance in Medicine.

In The Last Decade

Brian E. Chapman

55 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Brian E. Chapman United States	20	543	531	318	268	169	57	1.4k
Guotong Xie China	23	616 1.1×	413 0.8×	237 0.7×	130 0.5×	173 1.0×	172	1.8k
Shiqin Zhang China	8	582 1.1×	1.2k 2.3×	304 1.0×	209 0.8×	92 0.5×	15	1.9k
Ali Madani United States	14	619 1.1×	773 1.5×	693 2.2×	180 0.7×	305 1.8×	17	2.5k
Joseph R. Ledsam United Kingdom	8	491 0.9×	725 1.4×	442 1.4×	140 0.5×	103 0.6×	14	1.9k
Meyke Hermsen Netherlands	13	1.1k 2.0×	734 1.4×	146 0.5×	227 0.8×	428 2.5×	22	1.6k
Narges Razavian United States	14	1.4k 2.6×	1.2k 2.2×	343 1.1×	371 1.4×	303 1.8×	39	2.7k
Anuj Pareek United States	12	639 1.2×	634 1.2×	132 0.4×	161 0.6×	111 0.7×	23	1.5k
Junjie Bai China	14	677 1.2×	1.4k 2.6×	209 0.7×	272 1.0×	161 1.0×	37	2.0k
Donghan M. Yang United States	16	437 0.8×	517 1.0×	142 0.4×	193 0.7×	118 0.7×	47	1.1k
Ricky K. Taira United States	22	626 1.2×	379 0.7×	455 1.4×	266 1.0×	354 2.1×	132	1.6k

Countries citing papers authored by Brian E. Chapman

Since Specialization

Citations

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

Fields of papers citing papers by Brian E. Chapman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian E. Chapman. 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 Brian E. Chapman. The network helps show where Brian E. Chapman may publish in the future.

Co-authorship network of co-authors of Brian E. Chapman

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

All Works

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20 of 20 papers shown

Hedges, David M., et al.. (2020). The International Neuromodulation Registry: An Informatics Framework Supporting Cohort Discovery and Analysis. Frontiers in Neuroinformatics. 14. 36–36. 2 indexed citations

Mowery, Danielle L., Brian E. Chapman, Mike Conway, et al.. (2016). Extracting a stroke phenotype risk factor from Veteran Health Administration clinical reports: an information content analysis. Journal of Biomedical Semantics. 7(1). 26–26. 35 indexed citations

Chapman, Brian E., et al.. (2015). Automated generation of directed graphs from vascular segmentations. Journal of Biomedical Informatics. 56. 395–405. 7 indexed citations

Mowery, Danielle L., et al.. (2014). Developing a Knowledge Base for Detecting Carotid Stenosis with pyConText.. AMIA. 2 indexed citations

Chapman, Brian E., Sean Lee, Hyunseok P. Kang, & Wendy W. Chapman. (2011). Document-level classification of CT pulmonary angiography reports based on an extension of the ConText algorithm. Journal of Biomedical Informatics. 44(5). 728–737. 102 indexed citations

Park, Sang Cheol, Brian E. Chapman, & Bin Zheng. (2010). A Multistage Approach to Improve Performance of Computer-Aided Detection of Pulmonary Embolisms Depicted on CT Images: Preliminary Investigation. IEEE Transactions on Biomedical Engineering. 58(6). 1519–1527. 34 indexed citations

Chapman, Brian E., et al.. (2008). Reducing morphological variability of the cervical carotid artery in serial magnetic resonance imaging using a head and neck immobilization device. Journal of Magnetic Resonance Imaging. 28(1). 258–262. 4 indexed citations

Zhang, Ling, Brian E. Chapman, Dennis L. Parker, et al.. (2005). Automatic Detection of Three-Dimensional Vascular Tree Centerlines and Bifurcations in High-Resolution Magnetic Resonance Angiography. Investigative Radiology. 40(10). 661–671. 14 indexed citations

Vemuri, Prashanthi, Eugene Kholmovski, Dennis L. Parker, & Brian E. Chapman. (2005). Coil Sensitivity Estimation for Optimal SNR Reconstruction and Intensity Inhomogeneity Correction in Phased Array MR Imaging. Lecture notes in computer science. 19. 603–614. 26 indexed citations

10.

Chapman, Brian E., et al.. (2004). Intracranial vessel segmentation from time-of-flight MRA using pre-processing of the MIP Z-buffer: accuracy of the ZBS algorithm. Medical Image Analysis. 8(2). 113–126. 30 indexed citations

11.

Chapman, Brian E., Dennis L. Parker, Jay S. Tsuruda, et al.. (2004). Diagnostic fidelity of the Z-buffer segmentation algorithm: preliminary assessment based on intracranial aneurysm detection. Journal of Biomedical Informatics. 37(1). 19–29. 2 indexed citations

12.

Chapman, Wendy W., Gregory F. Cooper, Paul Hanbury, et al.. (2003). Creating a Text Classifier to Detect Radiology Reports Describing Mediastinal Findings Associated with Inhalational Anthrax and Other Disorders. Journal of the American Medical Informatics Association. 10(5). 494–503. 37 indexed citations

13.

Leader, Joseph K., Bin Zheng, Robert M. Rogers, et al.. (2003). Automated lung segmentation in X-ray computed tomography. Academic Radiology. 10(11). 1224–1236. 120 indexed citations

14.

Cannon, George M., et al.. (2001). Digital processing of radiographic images from PACS to publishing. Journal of Digital Imaging. 14(1). 14–17. 5 indexed citations

15.

Alexander, Andrew L., Brian E. Chapman, Jay S. Tsuruda, & Dennis L. Parker. (2000). A median filter for 3D FAST spin echo black blood images of cerebral vessels. Magnetic Resonance in Medicine. 43(2). 310–313. 7 indexed citations

16.

Hadley, J. Rock, Brian E. Chapman, John A. Roberts, et al.. (2000). A three-coil comparison for MR angiography. Journal of Magnetic Resonance Imaging. 11(4). 458–468. 19 indexed citations

17.

Chapman, Brian E., et al.. (1999). Evaluation of Measures of Technical Image Quality for Intracranial Magnetic Resonance Angiography. Computers and Biomedical Research. 32(6). 530–556. 7 indexed citations

18.

Alexander, Andrew L., Henry R. Buswell, Yi Sun, et al.. (1998). Intracranial black‐blood MR angiography with high‐resolution 3D fast spin echo. Magnetic Resonance in Medicine. 40(2). 298–310. 50 indexed citations

19.

Chapman, Brian E., Allen R. Sanderson, K. Craig Goodrich, et al.. (1997). Observer performance methodologies for evaluating blood vessel visibility in MR angiograms using accurate geometric registration to high resolution x‐ray angiograms. Magnetic Resonance in Medicine. 37(4). 519–529. 7 indexed citations

20.

Kurland, Irwin J., Brian E. Chapman, Young Ho Lee, & S.J. Pilkis. (1995). Evolutionary Reengineering of the Phosphofructokinase Active Site: ARG-104 Does Not Stabilize the Transition State in 6-Phosphofructo-2-Kinase. Biochemical and Biophysical Research Communications. 213(2). 663–672. 7 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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