Derek Allman

458 total citations
10 papers, 343 citations indexed

About

Derek Allman is a scholar working on Biomedical Engineering, Mechanics of Materials and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Derek Allman has authored 10 papers receiving a total of 343 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Biomedical Engineering, 5 papers in Mechanics of Materials and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Derek Allman's work include Photoacoustic and Ultrasonic Imaging (10 papers), Ultrasound and Hyperthermia Applications (6 papers) and Thermography and Photoacoustic Techniques (5 papers). Derek Allman is often cited by papers focused on Photoacoustic and Ultrasonic Imaging (10 papers), Ultrasound and Hyperthermia Applications (6 papers) and Thermography and Photoacoustic Techniques (5 papers). Derek Allman collaborates with scholars based in United States. Derek Allman's co-authors include Muyinatu A. Lediju Bell, Austin Reiter, Fabrizio Assis, Jonathan Chrispin, Eduardo González, Alycen Wiacek, Sarah E. Beck, J. Palmer and Jin He and has published in prestigious journals such as IEEE Transactions on Medical Imaging, Journal of Biomedical Optics and 2017 IEEE International Ultrasonics Symposium (IUS).

In The Last Decade

Derek Allman

10 papers receiving 333 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Derek Allman United States 8 325 187 160 25 15 10 343
Alycen Wiacek United States 12 375 1.2× 313 1.7× 168 1.1× 22 0.9× 7 0.5× 29 453
Janek Gröhl Germany 11 311 1.0× 244 1.3× 163 1.0× 39 1.6× 19 1.3× 30 365
Kedi Xiong China 13 375 1.2× 165 0.9× 173 1.1× 12 0.5× 7 0.5× 31 398
Hailong He Germany 11 210 0.6× 134 0.7× 76 0.5× 13 0.5× 27 1.8× 19 255
Geng-Shi Jeng Taiwan 8 219 0.7× 173 0.9× 98 0.6× 12 0.5× 7 0.5× 26 306
Bhargava Chinni United States 12 356 1.1× 194 1.0× 204 1.3× 15 0.6× 22 1.5× 38 384
Nathanael Kuo United States 10 297 0.9× 202 1.1× 107 0.7× 37 1.5× 12 0.8× 19 352
Hengrong Lan China 13 600 1.8× 361 1.9× 354 2.2× 44 1.8× 22 1.5× 49 654
Lei Yao United States 13 472 1.5× 311 1.7× 260 1.6× 5 0.2× 10 0.7× 21 488
T.A. Tuthill United States 8 172 0.5× 207 1.1× 102 0.6× 58 2.3× 4 0.3× 10 316

Countries citing papers authored by Derek Allman

Since Specialization
Citations

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

Fields of papers citing papers by Derek Allman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Derek Allman

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

All Works

10 of 10 papers shown
1.
Assis, Fabrizio, Derek Allman, Alycen Wiacek, et al.. (2020). Photoacoustic image guidance and robotic visual servoing to mitigate fluoroscopy during cardiac catheter interventions. 45–45. 9 indexed citations
2.
Allman, Derek, Muyinatu A. Lediju Bell, Jonathan Chrispin, & Fabrizio Assis. (2019). A deep learning-based approach to identify in vivo catheter tips during photoacoustic-guided cardiac interventions. 197–197. 13 indexed citations
3.
Allman, Derek, Fabrizio Assis, Jonathan Chrispin, & Muyinatu A. Lediju Bell. (2019). Deep learning to detect catheter tips in vivo during photoacoustic-guided catheter interventions : Invited Presentation. 1–3. 6 indexed citations
4.
Wiacek, Alycen, J. Palmer, Eduardo González, et al.. (2019). In vivo demonstration of photoacoustic-guided liver surgery. 77. 217–217. 3 indexed citations
5.
Wiacek, Alycen, Eduardo González, Derek Allman, et al.. (2019). In vivo photoacoustic imaging of major blood vessels in the pancreas and liver during surgery. Journal of Biomedical Optics. 24(12). 1–1. 36 indexed citations
6.
Assis, Fabrizio, Derek Allman, Alycen Wiacek, et al.. (2019). In Vivo Demonstration of Photoacoustic Image Guidance and Robotic Visual Servoing for Cardiac Catheter-Based Interventions. IEEE Transactions on Medical Imaging. 39(4). 1015–1029. 58 indexed citations
7.
Allman, Derek, Austin Reiter, & Muyinatu A. Lediju Bell. (2018). Photoacoustic Source Detection and Reflection Artifact Removal Enabled by Deep Learning. IEEE Transactions on Medical Imaging. 37(6). 1464–1477. 164 indexed citations
8.
9.
Allman, Derek, Fabrizio Assis, Jonathan Chrispin, & Muyinatu A. Lediju Bell. (2018). Deep Neural Networks to Remove Photoacoustic Reflection Artifacts in Ex Vivo and in Vivo Tissue. 1–4. 12 indexed citations
10.
Allman, Derek, Austin Reiter, & Muyinatu A. Lediju Bell. (2017). A machine learning method to identify and remove reflection artifacts in photoacoustic channel data. 2017 IEEE International Ultrasonics Symposium (IUS). 1–4. 30 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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2026