M. Sabry Hassouna

948 total citations
23 papers, 649 citations indexed

About

M. Sabry Hassouna is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Aerospace Engineering. According to data from OpenAlex, M. Sabry Hassouna has authored 23 papers receiving a total of 649 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 8 papers in Computer Graphics and Computer-Aided Design and 7 papers in Aerospace Engineering. Recurrent topics in M. Sabry Hassouna's work include Advanced Vision and Imaging (7 papers), Robotics and Sensor-Based Localization (7 papers) and Computer Graphics and Visualization Techniques (6 papers). M. Sabry Hassouna is often cited by papers focused on Advanced Vision and Imaging (7 papers), Robotics and Sensor-Based Localization (7 papers) and Computer Graphics and Visualization Techniques (6 papers). M. Sabry Hassouna collaborates with scholars based in United States, United Kingdom and United Arab Emirates. M. Sabry Hassouna's co-authors include Aly A. Farag, Stephen G. Hushek, Thomas M. Moriarty, Alaa E. Abdel-Hakim, Robert Falk, Ali Tarhini, Muhammad Sharif Abbasi, Gerald W. Dryden, Dongqing Chen and Marta Reis and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Medical Image Analysis and Image and Vision Computing.

In The Last Decade

M. Sabry Hassouna

23 papers receiving 629 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Sabry Hassouna United States 10 320 133 97 86 84 23 649
Klaus D. Toennies Germany 11 378 1.2× 145 1.1× 32 0.3× 82 1.0× 35 0.4× 40 630
Michel Couprie France 20 958 3.0× 141 1.1× 77 0.8× 68 0.8× 97 1.2× 67 1.4k
C. Gonner Indonesia 6 689 2.2× 219 1.6× 121 1.2× 124 1.4× 38 0.5× 8 1.1k
Ingmar Bitter United States 14 478 1.5× 143 1.1× 151 1.6× 102 1.2× 214 2.5× 29 773
Abhir Bhalerao United Kingdom 15 467 1.5× 303 2.3× 55 0.6× 102 1.2× 96 1.1× 77 994
F. Dibos France 4 1.1k 3.3× 156 1.2× 180 1.9× 89 1.0× 71 0.8× 8 1.3k
David Tucker United States 6 700 2.2× 164 1.2× 79 0.8× 118 1.4× 14 0.2× 11 953
Jens Gregor United States 16 146 0.5× 351 2.6× 47 0.5× 224 2.6× 11 0.1× 75 820
N. Kanopoulos United States 8 384 1.2× 49 0.4× 44 0.5× 75 0.9× 23 0.3× 36 877
Bernhard Burgeth Germany 15 336 1.1× 189 1.4× 79 0.8× 43 0.5× 38 0.5× 31 712

Countries citing papers authored by M. Sabry Hassouna

Since Specialization
Citations

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

Fields of papers citing papers by M. Sabry Hassouna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. Sabry Hassouna. 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 M. Sabry Hassouna. The network helps show where M. Sabry Hassouna may publish in the future.

Co-authorship network of co-authors of M. Sabry Hassouna

This figure shows the co-authorship network connecting the top 25 collaborators of M. Sabry Hassouna. A scholar is included among the top collaborators of M. Sabry Hassouna 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 M. Sabry Hassouna. M. Sabry Hassouna 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.
Hassouna, M. Sabry, et al.. (2023). Applications of Deep Learning in Medical Imaging: A Brief Review. 1–4. 3 indexed citations
2.
Hassouna, M. Sabry, et al.. (2019). Data-Driven Models for Sewer Blockage Prediction. 68–72. 6 indexed citations
3.
Abbasi, Muhammad Sharif, et al.. (2015). SOCIAL, ORGANIZATIONAL, DEMOGRAPHY AND INDIVIDUALS’ TECHNOLOGY ACCEPTANCE BEHAVIOUR: A CONCEPTUAL MODEL. European Scientific Journal ESJ. 11(9). 27 indexed citations
4.
Hassouna, M. Sabry, et al.. (2011). Agent based modelling and simulation: toward a new model of customer retention in the mobile market. Summer Computer Simulation Conference. 30–35. 3 indexed citations
5.
Hassouna, M. Sabry & Aly A. Farag. (2008). Variational Curve Skeletons Using Gradient Vector Flow. IEEE Transactions on Pattern Analysis and Machine Intelligence. 31(12). 2257–2274. 66 indexed citations
6.
Hassouna, M. Sabry, Alaa E. Abdel-Hakim, & Aly A. Farag. (2007). PDE-based robust robotic navigation. Image and Vision Computing. 27(1-2). 10–18. 18 indexed citations
7.
Chen, Dongqing, M. Sabry Hassouna, Aly A. Farag, & Robert Falk. (2007). A new color coding scheme for easy polyp visualization in CT-based virtual colonoscopy. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6514. 65142I–65142I. 1 indexed citations
8.
Hassouna, M. Sabry & Aly A. Farag. (2007). MultiStencils Fast Marching Methods: A Highly Accurate Solution to the Eikonal Equation on Cartesian Domains. IEEE Transactions on Pattern Analysis and Machine Intelligence. 29(9). 1563–1574. 238 indexed citations
9.
Chen, Dongqing, Aly A. Farag, M. Sabry Hassouna, Robert Falk, & Gerald W. Dryden. (2007). Geometric Features Based Framework for Colonic Polyp Detection using a New Color Coding Scheme. V – 17. 9 indexed citations
10.
Hassouna, M. Sabry & Aly A. Farag. (2007). On the Extraction of Curve Skeletons using Gradient Vector Flow. 1–8. 33 indexed citations
11.
Hassouna, M. Sabry, Aly A. Farag, & Robert Falk. (2006). Virtual Fly-Over: A New Visualization Technique for Virtual Colonoscopy. Lecture notes in computer science. 9(Pt 1). 381–388. 12 indexed citations
12.
Hassouna, M. Sabry & Aly A. Farag. (2006). Accurate Tracking of Monotonically Advancing Fronts. 1. 355–362. 4 indexed citations
13.
Hassouna, M. Sabry, Aly A. Farag, & Robert Falk. (2005). Differential Fly-Throughs (DFT): A General Framework for Computing Flight Paths. Lecture notes in computer science. 8(Pt 1). 654–661. 15 indexed citations
14.
Hassouna, M. Sabry, et al.. (2005). Cerebrovascular segmentation from TOF using stochastic models. Medical Image Analysis. 10(1). 2–18. 83 indexed citations
15.
Hassouna, M. Sabry & Aly A. Farag. (2005). PDE-Based Three Dimensional Path Planning for Virtual Endoscopy. Lecture notes in computer science. 19. 529–540. 9 indexed citations
16.
Hassouna, M. Sabry & Aly A. Farag. (2005). Robust Centerline Extraction Framework Using Level Sets. 1. 458–465. 84 indexed citations
17.
Hassouna, M. Sabry, Alaa E. Abdel-Hakim, & Aly A. Farag. (2005). Robust robotic path planning using level sets. III–473. 14 indexed citations
18.
Hassouna, M. Sabry & Aly A. Farag. (2005). Stochastic segmentation of blood vessels from time-of-flight. I–29. 1 indexed citations
19.
Hassouna, M. Sabry, Aly A. Farag, & Stephen G. Hushek. (2005). 3D path planning for virtual endoscopy. International Congress Series. 1281. 115–120. 4 indexed citations
20.
Farag, Aly A., M. Sabry Hassouna, Ayman El‐Baz, & Stephen G. Hushek. (2004). Real-time vision-based approach for probe tracking in operating room. International Congress Series. 1268. 467–472. 2 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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