Alan H. Baydush

691 total citations
34 papers, 512 citations indexed

About

Alan H. Baydush is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Artificial Intelligence. According to data from OpenAlex, Alan H. Baydush has authored 34 papers receiving a total of 512 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Radiology, Nuclear Medicine and Imaging, 16 papers in Pulmonary and Respiratory Medicine and 14 papers in Artificial Intelligence. Recurrent topics in Alan H. Baydush's work include AI in cancer detection (14 papers), Medical Imaging Techniques and Applications (13 papers) and Digital Radiography and Breast Imaging (12 papers). Alan H. Baydush is often cited by papers focused on AI in cancer detection (14 papers), Medical Imaging Techniques and Applications (13 papers) and Digital Radiography and Breast Imaging (12 papers). Alan H. Baydush collaborates with scholars based in United States and Australia. Alan H. Baydush's co-authors include Carey E. Floyd, Carl E. Ravin, James T. Dobbins, H. Chotas, Rene Vargas‐Voracek, Craig K. Abbey, Ehsan Samei, Joseph Y. Lo, Michael T. Munley and C.J. Hampton and has published in prestigious journals such as Radiology, International Journal of Radiation Oncology*Biology*Physics and Medical Physics.

In The Last Decade

Alan H. Baydush

34 papers receiving 490 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alan H. Baydush United States 12 349 296 198 137 98 34 512
Nico Lanconelli Italy 16 514 1.5× 358 1.2× 244 1.2× 163 1.2× 253 2.6× 61 763
Brian Harrawood United States 16 519 1.5× 181 0.6× 346 1.7× 188 1.4× 215 2.2× 56 809
Michael Albert United States 12 465 1.3× 468 1.6× 257 1.3× 206 1.5× 33 0.3× 22 638
Wookjin Choi United States 12 520 1.5× 413 1.4× 105 0.5× 156 1.1× 44 0.4× 35 696
V.A. Dumane United States 13 358 1.0× 130 0.4× 163 0.8× 167 1.2× 124 1.3× 33 603
Yoshiki Kawata Japan 15 752 2.2× 603 2.0× 151 0.8× 208 1.5× 58 0.6× 140 978
Johannes Hofmanninger Austria 11 385 1.1× 229 0.8× 96 0.5× 129 0.9× 21 0.2× 14 564
Nico Lanconelli Italy 12 320 0.9× 213 0.7× 75 0.4× 80 0.6× 364 3.7× 32 551
Rene Vargas‐Voracek United States 8 189 0.5× 141 0.5× 78 0.4× 167 1.2× 23 0.2× 14 357

Countries citing papers authored by Alan H. Baydush

Since Specialization
Citations

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

Fields of papers citing papers by Alan H. Baydush

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alan H. Baydush. 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 Alan H. Baydush. The network helps show where Alan H. Baydush may publish in the future.

Co-authorship network of co-authors of Alan H. Baydush

This figure shows the co-authorship network connecting the top 25 collaborators of Alan H. Baydush. A scholar is included among the top collaborators of Alan H. Baydush 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 Alan H. Baydush. Alan H. Baydush 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.
Halvorsen, Per H., Alan H. Baydush, C Buckey, et al.. (2023). AAPM Medical physics practice guideline 15.A: Peer review in clinical physics. Journal of Applied Clinical Medical Physics. 24(10). e14151–e14151. 2 indexed citations
2.
Nguyen, Callistus, et al.. (2018). Operational consistency of medical linear accelerators manufactured and commissioned in series. Technical Innovations & Patient Support in Radiation Oncology. 7. 6–10. 3 indexed citations
3.
Hampton, C.J., et al.. (2011). Initial investigation using statistical process control for quality control of accelerator beam steering. Radiation Oncology. 6(1). 180–180. 19 indexed citations
4.
Baydush, Alan H., et al.. (2007). Incorporation of a Laguerre–Gauss Channelized Hotelling Observer for False-Positive Reduction in a Mammographic Mass CAD System. Journal of Digital Imaging. 20(2). 196–202. 5 indexed citations
5.
Baydush, Alan H., et al.. (2006). Mass detection in mammographic ROIs using Watson filters. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6146. 614603–614603. 2 indexed citations
6.
Miller, Keith L., Zafer Koçak, Daniel Kahn, et al.. (2005). Preliminary report of the 6-minute walk test as a predictor of radiation-induced pulmonary toxicity. International Journal of Radiation Oncology*Biology*Physics. 62(4). 1009–1013. 16 indexed citations
7.
Das, Shiva K., Alan H. Baydush, S. Zhou, et al.. (2004). Predicting radiotherapy‐induced cardiac perfusion defects. Medical Physics. 32(1). 19–27. 27 indexed citations
8.
Baydush, Alan H., et al.. (2004). Development and application of a segmentation routine in a mammographic mass CAD system. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5370. 801–801. 1 indexed citations
9.
Baydush, Alan H., Lawrence B. Marks, & Shiva K. Das. (2004). Penalized likelihood fluence optimization with evolutionary components for intensity modulated radiation therapy treatment planning. Medical Physics. 31(8). 2335–2343. 2 indexed citations
10.
Dobbins, James T., Ehsan Samei, H. Chotas, et al.. (2003). Chest Radiography: Optimization of X-ray Spectrum for Cesium Iodide–Amorphous Silicon Flat-Panel Detector. Radiology. 226(1). 221–230. 59 indexed citations
11.
Baydush, Alan H., et al.. (2003). Computer aided detection of masses in mammography using subregion Hotelling observers. Medical Physics. 30(7). 1781–1787. 26 indexed citations
12.
Abbey, Craig K., et al.. (2002). <title>Human-observer templates for detection of a simulated lesion in mammographic images</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 4686. 25–36. 10 indexed citations
13.
Floyd, Carey E., James T. Dobbins, H. Chotas, et al.. (2001). Imaging Characteristics of an Amorphous Silicon Flat-Panel Detector for Digital Chest Radiography. Radiology. 218(3). 683–688. 97 indexed citations
14.
Baydush, Alan H., et al.. (2001). <title>Initial development of a computer-aided diagnosis tool for solitary pulmonary nodules</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 4322. 710–717. 8 indexed citations
15.
Baydush, Alan H., et al.. (2001). Computerized classification of suspicious regions in chest radiographs using subregion Hotelling observers. Medical Physics. 28(12). 2403–2409. 10 indexed citations
16.
Baydush, Alan H. & Carey E. Floyd. (2000). Improved image quality in digital mammography with image processing. Medical Physics. 27(7). 1503–1508. 19 indexed citations
17.
Vargas‐Voracek, Rene, et al.. (1998). Characteristics of regions suspicious for pulmonary nodules at chest radiography. Academic Radiology. 5(9). 613–619. 6 indexed citations
18.
Baydush, Alan H. & Carey E. Floyd. (1996). Spatially varying Bayesian image estimation. Academic Radiology. 3(2). 129–136. 8 indexed citations
19.
Baydush, Alan H. & Carey E. Floyd. (1995). Bayesian image estimation of digital chest radiography: Interdependence of noise, resolution, and scatter fraction. Medical Physics. 22(8). 1255–1261. 11 indexed citations
20.
Floyd, Carey E., et al.. (1993). Scatter Compensation for Digital Chest Radiography Using Maximum Likelihood Expectation Maximization. Investigative Radiology. 28(5). 427–433. 20 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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