Sharon Alpert

1.5k total citations
12 papers, 868 citations indexed

About

Sharon Alpert is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Sharon Alpert has authored 12 papers receiving a total of 868 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 2 papers in Computational Mechanics. Recurrent topics in Sharon Alpert's work include Image Retrieval and Classification Techniques (5 papers), Visual Attention and Saliency Detection (3 papers) and Medical Image Segmentation Techniques (3 papers). Sharon Alpert is often cited by papers focused on Image Retrieval and Classification Techniques (5 papers), Visual Attention and Saliency Detection (3 papers) and Medical Image Segmentation Techniques (3 papers). Sharon Alpert collaborates with scholars based in Israel and United States. Sharon Alpert's co-authors include Ronen Basri, Meirav Galun, Achi Brandt, Gregory Shakhnarovich, Daniel Gläsner, Eran Borenstein, Ella Barkan, Sharbell Hashoul, Boaz Ophir and Pavel Kisilev and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IBM Journal of Research and Development and Image and Vision Computing.

In The Last Decade

Sharon Alpert

11 papers receiving 833 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sharon Alpert Israel	9	770	113	103	93	88	12	868
Shuai Zheng United Kingdom	11	716 0.9×	164 1.5×	64 0.6×	117 1.3×	55 0.6×	19	867
Yu Zeng China	11	510 0.7×	46 0.4×	66 0.6×	156 1.7×	27 0.3×	23	740
Thanh-Toan Do Australia	19	608 0.8×	24 0.2×	65 0.6×	244 2.6×	163 1.9×	52	895
Yiqun Xu China	8	379 0.5×	119 1.1×	35 0.3×	70 0.8×	47 0.5×	25	576
Haibing Yin China	14	506 0.7×	22 0.2×	77 0.7×	48 0.5×	56 0.6×	118	688
Martin Hirzer Austria	7	1.4k 1.9×	35 0.3×	57 0.6×	121 1.3×	48 0.5×	12	1.5k
Zhe Huang United States	11	298 0.4×	34 0.3×	56 0.5×	70 0.8×	32 0.4×	46	613
Chen Gong China	11	597 0.8×	76 0.7×	89 0.9×	440 4.7×	23 0.3×	16	866
Shafin Rahman Bangladesh	12	398 0.5×	28 0.2×	33 0.3×	267 2.9×	22 0.3×	58	584
Junru Wu United States	7	833 1.1×	19 0.2×	309 3.0×	82 0.9×	20 0.2×	10	961

Countries citing papers authored by Sharon Alpert

Since Specialization

Citations

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

Fields of papers citing papers by Sharon Alpert

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sharon Alpert

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

All Works

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12 of 12 papers shown

Borenstein, Eran, et al.. (2020). Image Based Virtual Try-On Network From Unpaired Data. 5183–5192. 59 indexed citations

Alpert, Sharon, et al.. (2018). Learning Fashion By Simulated Human Supervision. 2401–24016. 1 indexed citations

Alpert, Sharon, et al.. (2018). Learning Fashion Traits with Label Uncertainty. 2 indexed citations

Akselrod-Ballin, Ayelet, Leonid Karlinsky, Sharon Alpert, et al.. (2017). A CNN based method for automatic mass detection and classification in mammograms. Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization. 7(3). 242–249. 24 indexed citations

Kisilev, Pavel, Eugene Walach, Ella Barkan, et al.. (2015). From medical image to automatic medical report generation. IBM Journal of Research and Development. 59(2/3). 2:1–2:7. 31 indexed citations

Kisilev, Pavel, Eugene Walach, Sharbell Hashoul, et al.. (2015). Semantic description of medical image findings: structured learning approach. 171.1–171.11. 8 indexed citations

Marder, Michael, et al.. (2015). Using image analytics to monitor retail store shelves. IBM Journal of Research and Development. 59(2/3). 3:1–3:11. 26 indexed citations

Alpert, Sharon & Pavel Kisilev. (2014). Unsupervised detection of abnormalities in medical images using salient features. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9034. 903416–903416. 1 indexed citations

Gläsner, Daniel, Meirav Galun, Sharon Alpert, Ronen Basri, & Gregory Shakhnarovich. (2012). Viewpoint-aware object detection and continuous pose estimation. Image and Vision Computing. 30(12). 923–933. 25 indexed citations

10.

Alpert, Sharon, Meirav Galun, Achi Brandt, & Ronen Basri. (2011). Image Segmentation by Probabilistic Bottom-Up Aggregation and Cue Integration. IEEE Transactions on Pattern Analysis and Machine Intelligence. 34(2). 315–327. 278 indexed citations

11.

Gläsner, Daniel, Meirav Galun, Sharon Alpert, Ronen Basri, & Gregory Shakhnarovich. (2011). Viewpoint-aware object detection and pose estimation. 1275–1282. 60 indexed citations

12.

Alpert, Sharon, Meirav Galun, Ronen Basri, & Achi Brandt. (2007). Image Segmentation by Probabilistic Bottom-Up Aggregation and Cue Integration. 1–8. 353 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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