Fitsum A. Reda

3.7k total citations
17 papers, 606 citations indexed

About

Fitsum A. Reda is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Oceanography. According to data from OpenAlex, Fitsum A. Reda has authored 17 papers receiving a total of 606 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 7 papers in Cognitive Neuroscience and 5 papers in Oceanography. Recurrent topics in Fitsum A. Reda's work include Hearing Loss and Rehabilitation (7 papers), Underwater Acoustics Research (5 papers) and Robotics and Sensor-Based Localization (5 papers). Fitsum A. Reda is often cited by papers focused on Hearing Loss and Rehabilitation (7 papers), Underwater Acoustics Research (5 papers) and Robotics and Sensor-Based Localization (5 papers). Fitsum A. Reda collaborates with scholars based in United States, Germany and Türkiye. Fitsum A. Reda's co-authors include Jack H. Noble, Benoît M. Dawant, Robert F. Labadie, Andrew Tao, Bryan Catanzaro, Kevin J. Shih, Karan Sapra, Shawn Newsam, Yi Zhu and Theodore R. McRackan and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Biomedical Engineering and Medical Physics.

In The Last Decade

Fitsum A. Reda

17 papers receiving 589 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fitsum A. Reda United States 10 305 147 106 82 61 17 606
Lüder A. Kahrs Germany 13 139 0.5× 62 0.4× 77 0.7× 44 0.5× 205 3.4× 87 584
Pei‐Wen Lin Taiwan 12 96 0.3× 44 0.3× 25 0.2× 70 0.9× 53 0.9× 35 504
Rolf Schmidt Germany 13 302 1.0× 47 0.3× 39 0.4× 31 0.4× 19 0.3× 23 609
Mario Ceresa Spain 14 71 0.2× 87 0.6× 13 0.1× 78 1.0× 82 1.3× 49 683
Kenneth Salisbury United States 19 300 1.0× 212 1.4× 40 0.4× 15 0.2× 476 7.8× 45 1.2k
Christof Rezk‐Salama Germany 14 567 1.9× 31 0.2× 12 0.1× 19 0.2× 29 0.5× 31 891
Akio Nozawa Japan 15 36 0.1× 105 0.7× 40 0.4× 41 0.5× 129 2.1× 134 741
Sonny Chan Canada 15 157 0.5× 49 0.3× 38 0.4× 8 0.1× 357 5.9× 48 666
A. Pommert Germany 16 468 1.5× 51 0.3× 19 0.2× 61 0.7× 254 4.2× 47 1.0k
Ramya Balachandran United States 19 119 0.4× 379 2.6× 378 3.6× 5 0.1× 322 5.3× 50 1.1k

Countries citing papers authored by Fitsum A. Reda

Since Specialization
Citations

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

Fields of papers citing papers by Fitsum A. Reda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fitsum A. Reda. 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 Fitsum A. Reda. The network helps show where Fitsum A. Reda may publish in the future.

Co-authorship network of co-authors of Fitsum A. Reda

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

All Works

17 of 17 papers shown
1.
Zhu, Luyang, Dawei Yang, Tyler Zhu, et al.. (2023). TryOnDiffusion: A Tale of Two UNets. 4606–4615. 47 indexed citations
2.
Reda, Fitsum A., Rakesh Ranjan, Jon Morton, et al.. (2022). Feature-Align Network with Knowledge Distillation for Efficient Denoising. 709–718. 6 indexed citations
3.
Dündar, Ayşegül, Kevin J. Shih, Ting-Chun Wang, et al.. (2022). Partial Convolution for Padding, Inpainting, and Image Synthesis. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(5). 1–15. 31 indexed citations
4.
Zhu, Yi, Karan Sapra, Fitsum A. Reda, et al.. (2019). Improving Semantic Segmentation via Video Propagation and Label Relaxation. 8848–8857. 247 indexed citations
5.
Reda, Fitsum A., et al.. (2017). Real time coarse orientation detection in MR scans using multi-planar deep convolutional neural networks. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 10133. 1013303–1013303. 2 indexed citations
6.
McRackan, Theodore R., Matthew L. Carlson, Fitsum A. Reda, Jack H. Noble, & Alejandro Rivas. (2014). Bifid Facial Nerve in Congenital Stapes Footplate Fixation. Otology & Neurotology. 35(5). e199–e201. 5 indexed citations
7.
Reda, Fitsum A., Theodore R. McRackan, Robert F. Labadie, Benoît M. Dawant, & Jack H. Noble. (2014). Automatic segmentation of intra-cochlear anatomy in post-implantation CT of unilateral cochlear implant recipients. Medical Image Analysis. 18(3). 605–615. 40 indexed citations
8.
Reda, Fitsum A., Jack H. Noble, Robert F. Labadie, & Benoît M. Dawant. (2014). An artifact-robust, shape library-based algorithm for automatic segmentation of inner ear anatomy in post-cochlear-implantation CT. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9034. 90342V–90342V. 23 indexed citations
9.
Balachandran, Ramya, Fitsum A. Reda, Jack H. Noble, et al.. (2014). Minimally Invasive Image‐Guided Cochlear Implantation for Pediatric Patients: Clinical Feasibility Study. Otolaryngology. 150(4). 631–637. 10 indexed citations
10.
Reda, Fitsum A., Zhigang Peng, Yoshihisa Shinagawa, et al.. (2014). Sparse appearance model-based algorithm for automatic segmentation and identification of articulated hand bones. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9034. 90341O–90341O. 1 indexed citations
11.
Labadie, Robert F., Ramya Balachandran, Jack H. Noble, et al.. (2013). Minimally invasive image‐guided cochlear implantation surgery: First report of clinical implementation. The Laryngoscope. 124(8). 1915–1922. 101 indexed citations
12.
Reda, Fitsum A., Benoît M. Dawant, Theodore R. McRackan, Robert F. Labadie, & Jack H. Noble. (2013). Automatic segmentation of intra-cochlear anatomy in post-implantation CT. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8671. 86710I–86710I. 6 indexed citations
13.
McRackan, Theodore R., Fitsum A. Reda, Alejandro Rivas, et al.. (2012). Comparison of Cochlear Implant Relevant Anatomy in Children Versus Adults. Otology & Neurotology. 33(3). 328–334. 41 indexed citations
14.
Reda, Fitsum A., Jack H. Noble, Robert F. Labadie, & Benoît M. Dawant. (2012). Automatic Pre- to Intra-Operative CT Registration for Image-Guided Cochlear Implant Surgery. IEEE Transactions on Biomedical Engineering. 59(11). 3070–3077. 13 indexed citations
15.
Reda, Fitsum A., Benoît M. Dawant, Robert F. Labadie, & Jack H. Noble. (2012). Automatic pre- to intra-operative CT registration for image-guided cochlear implant surgery. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8316. 83161E–83161E. 4 indexed citations
16.
Reda, Fitsum A., Jack H. Noble, Alejandro Rivas, et al.. (2011). Automatic segmentation of the facial nerve and chorda tympani in pediatric CT scans. Medical Physics. 38(10). 5590–5600. 24 indexed citations
17.
Reda, Fitsum A., Jack H. Noble, Alejandro Rivas, Robert F. Labadie, & Benoît M. Dawant. (2011). Model-based segmentation of the facial nerve and chorda tympani in pediatric CT scans. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7962. 79622B–79622B. 5 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Lüder A. Kahrs Breakdown of academic impact, for papers by Pei‐Wen Lin Breakdown of academic impact, for papers by Rolf Schmidt Breakdown of academic impact, for papers by Mario Ceresa Breakdown of academic impact, for papers by Kenneth Salisbury Breakdown of academic impact, for papers by Christof Rezk‐Salama Breakdown of academic impact, for papers by Akio Nozawa Breakdown of academic impact, for papers by Sonny Chan Breakdown of academic impact, for papers by A. Pommert Breakdown of academic impact, for papers by Ramya Balachandran
Rankless by CCL
2026