Georgy Gimel’farb

6.3k total citations
196 papers, 2.8k citations indexed

About

Georgy Gimel’farb is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Georgy Gimel’farb has authored 196 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 120 papers in Computer Vision and Pattern Recognition, 65 papers in Radiology, Nuclear Medicine and Imaging and 28 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Georgy Gimel’farb's work include Medical Image Segmentation Techniques (71 papers), Image Retrieval and Classification Techniques (35 papers) and Radiomics and Machine Learning in Medical Imaging (31 papers). Georgy Gimel’farb is often cited by papers focused on Medical Image Segmentation Techniques (71 papers), Image Retrieval and Classification Techniques (35 papers) and Radiomics and Machine Learning in Medical Imaging (31 papers). Georgy Gimel’farb collaborates with scholars based in New Zealand, United States and Egypt. Georgy Gimel’farb's co-authors include Ayman El‐Baz, Mohamed Abou El‐Ghar, Fahmi Khalifa, Ahmed Soliman, Ahmed Elnakib, Aly A. Farag, Robert Falk, Garth M. Beache, Tarek El‐Diasty and Rosemary Ouseph and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and CHEST Journal.

In The Last Decade

Georgy Gimel’farb

185 papers receiving 2.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Georgy Gimel’farb New Zealand 25 1.5k 1.0k 693 494 360 196 2.8k
Fahmi Khalifa United States 26 1.4k 0.9× 831 0.8× 482 0.7× 517 1.0× 379 1.1× 153 2.5k
Elsa D. Angelini France 24 1.3k 0.9× 1.1k 1.1× 623 0.9× 260 0.5× 628 1.7× 166 3.1k
Virginia Newcombe United Kingdom 32 1.5k 1.0× 1.2k 1.2× 315 0.5× 578 1.2× 437 1.2× 116 5.2k
Michael R. Kaus United States 18 1.6k 1.1× 1.2k 1.2× 594 0.9× 351 0.7× 755 2.1× 38 3.4k
Jian Yang China 31 1.5k 1.0× 1.5k 1.5× 279 0.4× 383 0.8× 945 2.6× 260 3.4k
Geng Chen China 25 1.4k 0.9× 1.2k 1.1× 190 0.3× 675 1.4× 270 0.8× 170 3.7k
Konstantinos Kamnitsas United Kingdom 17 1.5k 1.1× 1.8k 1.7× 320 0.5× 991 2.0× 637 1.8× 32 3.8k
Mattias P. Heinrich‬ Germany 26 1.9k 1.3× 1.9k 1.9× 285 0.4× 738 1.5× 820 2.3× 81 3.6k
Zeynettin Akkus United States 21 1.5k 1.0× 579 0.6× 580 0.8× 800 1.6× 539 1.5× 54 3.2k
Heinz Handels Germany 29 1.3k 0.9× 1.2k 1.2× 549 0.8× 557 1.1× 786 2.2× 213 3.6k

Countries citing papers authored by Georgy Gimel’farb

Since Specialization
Citations

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

Fields of papers citing papers by Georgy Gimel’farb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Georgy Gimel’farb. 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 Georgy Gimel’farb. The network helps show where Georgy Gimel’farb may publish in the future.

Co-authorship network of co-authors of Georgy Gimel’farb

This figure shows the co-authorship network connecting the top 25 collaborators of Georgy Gimel’farb. A scholar is included among the top collaborators of Georgy Gimel’farb 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 Georgy Gimel’farb. Georgy Gimel’farb 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.
Taher, Fatma, Ahmed Soliman, Ali Mahmoud, et al.. (2020). Precise Cerebrovascular Segmentation. 394–397. 2 indexed citations
2.
Ismail, Marwa, Ahmed Soliman, Mohammed Ghazal, et al.. (2017). A fast stochastic framework for automatic MR brain images segmentation. PLoS ONE. 12(11). e0187391–e0187391. 8 indexed citations
3.
Hosseini-Asl, Ehsan, Jacek M. Żurada, Georgy Gimel’farb, & Ayman El‐Baz. (2015). 3-D Lung Segmentation by Incremental Constrained Nonnegative Matrix Factorization. IEEE Transactions on Biomedical Engineering. 63(5). 952–963. 19 indexed citations
4.
Delmas, Patrice, et al.. (2015). Tsai camera calibration enhanced. 435–438. 11 indexed citations
5.
Bertin, Stéphane, Heide Friedrich, Patrice Delmas, Edwin P. Chan, & Georgy Gimel’farb. (2015). Digital stereo photogrammetry for grain-scale monitoring of fluvial surfaces: Error evaluation and workflow optimisation. ISPRS Journal of Photogrammetry and Remote Sensing. 101. 193–208. 32 indexed citations
6.
Elnakib, Ahmed, Ahmed Soliman, Matthew Nitzken, et al.. (2014). Magnetic Resonance Imaging Findings for Dyslexia: A Review. Journal of Biomedical Nanotechnology. 10(10). 2778–2805. 35 indexed citations
7.
Elnakib, Ahmed, Garth M. Beache, Georgy Gimel’farb, Tamer Inanc, & Ayman El‐Baz. (2013). Validating a new methodology for strain estimation from cardiac cine MRI. AIP conference proceedings. 277–286. 2 indexed citations
8.
Elnakib, Ahmed, Manuel F. Casanova, Georgy Gimel’farb, Andrew E. Switala, & Ayman El‐Baz. (2011). Autism diagnostics by centerline-based shape analysis of the Corpus Callosum. 1843–1846. 12 indexed citations
9.
Gastélum-Strozzi, Alfonso, Patrice Delmas, Céline Duwig, et al.. (2010). Visualising 3D porous media fluid interaction using X-ray CT data and Smooth Particles Hydrodynamics modelling. 1–8. 1 indexed citations
10.
Nguyen, Minh, Georgy Gimel’farb, & Patrice Delmas. (2009). Stereo Vision: a Java-based online platform. Machine Vision and Applications. 483–486.
11.
El‐Baz, Ayman, et al.. (2009). Toward Early Diagnosis of Lung Cancer. Lecture notes in computer science. 12(Pt 2). 682–689. 7 indexed citations
12.
El‐Baz, Ayman, et al.. (2009). A Novel 3D Joint Markov-Gibbs Model for Extracting Blood Vessels from PC–MRA Images. Lecture notes in computer science. 12(Pt 2). 943–950. 10 indexed citations
13.
Lafarge, Florent, Georgy Gimel’farb, & Xavier Descombes. (2009). Geometric Feature Extraction by a Multimarked Point Process. IEEE Transactions on Pattern Analysis and Machine Intelligence. 32(9). 1597–1609. 69 indexed citations
14.
El‐Baz, Ayman & Georgy Gimel’farb. (2008). Global image registration based on learning the prior appearance model. 8. 1–7. 1 indexed citations
15.
El‐Baz, Ayman, Georgy Gimel’farb, Robert Falk, & Mohamed Abou El‐Ghar. (2008). Automatic analysis of 3D low dose CT images for early diagnosis of lung cancer. Pattern Recognition. 42(6). 1041–1051. 17 indexed citations
16.
Gimel’farb, Georgy, et al.. (2007). Robust Face Matching Under Large Occlusions. 448–453. 2 indexed citations
17.
18.
El‐Baz, Ayman, Aly A. Farag, Georgy Gimel’farb, & Alaa E. Abdel-Hakim. (2006). Robust Image Registration Based on Markov-Gibbs Appearance Model. 1204–1207. 1 indexed citations
19.
El‐Baz, Ayman, Aly A. Farag, Georgy Gimel’farb, & Stephen G. Hushek. (2005). Automatic Cerebrovascular Segmentation by Accurate Probabilistic Modeling of TOF-MRA Images. Lecture notes in computer science. 8(Pt 1). 34–42. 13 indexed citations
20.
Gimel’farb, Georgy, et al.. (2002). Cylindrical Panoramic Cameras - From Basic Design to Applications. Folia Microbiologica. 60(6). 541–4. 1 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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