Shiri Gordon

414 total citations
14 papers, 257 citations indexed

About

Shiri Gordon is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Epidemiology. According to data from OpenAlex, Shiri Gordon has authored 14 papers receiving a total of 257 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 4 papers in Epidemiology. Recurrent topics in Shiri Gordon's work include AI in cancer detection (9 papers), Medical Image Segmentation Techniques (8 papers) and Cervical Cancer and HPV Research (4 papers). Shiri Gordon is often cited by papers focused on AI in cancer detection (9 papers), Medical Image Segmentation Techniques (8 papers) and Cervical Cancer and HPV Research (4 papers). Shiri Gordon collaborates with scholars based in Israel and United States. Shiri Gordon's co-authors include Hayit Greenspan, Jacob Goldberger, José Jerónimo, L. Rodney Long, Sameer Antani, Eli Shahar, Isaac Srugo, Jacob Genizi, Nogah C. Kerem and Sarit Ravid and has published in prestigious journals such as NeuroImage, Image and Vision Computing and The Journal of Headache and Pain.

In The Last Decade

Shiri Gordon

14 papers receiving 246 citations

Peers

Shiri Gordon

CVPR

AI

EPIDE

RNMI

PMH

Jacek Kawa Poland

Deevyankar Agarwal Spain

Ebrahim Mohammed Senan Yemen

Tongtong Che China

Charturong Tantibundhit Thailand

Farheen Ramzan Pakistan

Mario Alejandro Bravo-Ortíz Colombia

Barbara Villarini United Kingdom

Rayan Krishnan United States

Mohammad Eslami Iran

Jacek Kawa Poland

Shiri Gordon

86 ×0.7

CVPR

72 ×0.6

AI

10 ×0.2

EPIDE

52 ×1.4

RNMI

27 ×0.8

PMH

Citations per year, relative to Shiri Gordon Shiri Gordon (= 1×) peers Jacek Kawa

Countries citing papers authored by Shiri Gordon

Since Specialization

Citations

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

Fields of papers citing papers by Shiri Gordon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shiri Gordon

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

All Works

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14 of 14 papers shown

1.

Gordon, Shiri, et al.. (2021). An atlas of classifiers—a machine learning paradigm for brain MRI segmentation. Medical & Biological Engineering & Computing. 59(9). 1833–1849. 2 indexed citations

2.

Gordon, Shiri, et al.. (2021). Deep Semi-Supervised Bias Field Correction Of Mr Images. 1836–1840. 8 indexed citations

3.

Gordon, Shiri, et al.. (2019). A novel multimodal optical imaging device for cervical cancer screening and diagnosis. 19. 20–20. 2 indexed citations

4.

Gordon, Shiri, et al.. (2018). Multidimensional co-segmentation of longitudinal brain MRI ensembles in the presence of a neurodegenerative process. NeuroImage. 178. 346–369. 2 indexed citations

5.

Gordon, Shiri, et al.. (2016). Co-segmentation of multiple images into multiple regions: Application to mouse brain MRI. 18. 399–402. 3 indexed citations

6.

Genizi, Jacob, Shiri Gordon, Nogah C. Kerem, et al.. (2013). Primary headaches, attention deficit disorder and learning disabilities in children and adolescents. The Journal of Headache and Pain. 14(1). 54–54. 40 indexed citations

7.

Gordon, Shiri & Hayit Greenspan. (2010). An agglomerative segmentation framework for non-convex regions within uterine cervix images. Image and Vision Computing. 28(12). 1682–1701. 3 indexed citations

8.

Gordon, Shiri, et al.. (2009). Evaluation of uterine cervix segmentations using ground truth from multiple experts. Computerized Medical Imaging and Graphics. 33(3). 205–216. 22 indexed citations

9.

Gordon, Shiri, et al.. (2008). Shape priors for segmentation of the cervix region within uterine cervix images. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6914. 69141N–69141N. 5 indexed citations

10.

Gordon, Shiri, et al.. (2008). Shape Priors for Segmentation of the Cervix Region Within Uterine Cervix Images. Journal of Digital Imaging. 22(3). 286–296. 17 indexed citations

11.

Gordon, Shiri, et al.. (2007). Automatic evaluation of uterine cervix segmentations. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6515. 65151J–65151J. 6 indexed citations

12.

Gordon, Shiri & Hayit Greenspan. (2007). SEGMENTATION OF NON-CONVEX REGIONS WITHIN UTERINE CERVIX IMAGES. 22. 312–315. 12 indexed citations

13.

Gordon, Shiri, et al.. (2006). Content analysis of uterine cervix images: initial steps towards content based indexing and retrieval of cervigrams. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6144. 61444U–61444U. 41 indexed citations

14.

Goldberger, Jacob, Shiri Gordon, & Hayit Greenspan. (2003). An Efficient Image Similarity Measure Based on Approximations of KL-Divergence Between Two Gaussian Mixtures. 487–493. 94 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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