Sivan Harary

1.2k total citations
10 papers, 508 citations indexed

About

Sivan Harary is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Sivan Harary has authored 10 papers receiving a total of 508 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 7 papers in Artificial Intelligence and 2 papers in Signal Processing. Recurrent topics in Sivan Harary's work include Domain Adaptation and Few-Shot Learning (7 papers), Multimodal Machine Learning Applications (4 papers) and Advanced Neural Network Applications (3 papers). Sivan Harary is often cited by papers focused on Domain Adaptation and Few-Shot Learning (7 papers), Multimodal Machine Learning Applications (4 papers) and Advanced Neural Network Applications (3 papers). Sivan Harary collaborates with scholars based in Israel, United States and Germany. Sivan Harary's co-authors include Raja Giryes, Leonid Karlinsky, Rogério Feris, Joseph Shtok, Eli Schwartz, Alex Bronstein, Amit Aides, Abhishek Kumar, Alexander M. Bronstein and Assaf Arbelle and has published in prestigious journals such as IBM Journal of Research and Development, Computer Vision and Image Understanding and Computer Graphics Forum.

In The Last Decade

Sivan Harary

10 papers receiving 495 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sivan Harary Israel	10	366	307	60	48	40	10	508
Sheng Jin China	9	327 0.9×	235 0.8×	28 0.5×	37 0.8×	35 0.9×	16	573
Rongyao Fang Hong Kong	5	355 1.0×	247 0.8×	33 0.6×	42 0.9×	28 0.7×	6	542
Aming Wu China	14	526 1.4×	427 1.4×	44 0.7×	61 1.3×	23 0.6×	32	694
Jingru Tan China	6	349 1.0×	335 1.1×	67 1.1×	63 1.3×	10 0.3×	10	598
K J Joseph India	6	380 1.0×	301 1.0×	31 0.5×	33 0.7×	13 0.3×	12	542
Ruipeng Zhang China	9	265 0.7×	289 0.9×	57 0.9×	55 1.1×	25 0.6×	12	483
Daniel Stanley Tan Taiwan	9	279 0.8×	170 0.6×	59 1.0×	25 0.5×	31 0.8×	37	460
Eric Arazo Ireland	6	264 0.7×	380 1.2×	31 0.5×	59 1.2×	27 0.7×	10	568
Niluthpol Chowdhury Mithun United States	12	429 1.2×	189 0.6×	49 0.8×	30 0.6×	23 0.6×	26	537
Yalong Bai China	9	457 1.2×	354 1.2×	57 0.9×	19 0.4×	10 0.3×	27	655

Countries citing papers authored by Sivan Harary

Since Specialization

Citations

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

Fields of papers citing papers by Sivan Harary

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sivan Harary

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

All Works

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10 of 10 papers shown

1.

Schwartz, Eli, Assaf Arbelle, Leonid Karlinsky, et al.. (2024). MAEDAY: MAE for few- and zero-shot AnomalY-Detection. Computer Vision and Image Understanding. 241. 103958–103958. 16 indexed citations

2.

Arbelle, Assaf, Sivan Harary, Eli Schwartz, et al.. (2023). Teaching Structured Vision & Language Concepts to Vision & Language Models. 2657–2668. 19 indexed citations

3.

Harary, Sivan, Eli Schwartz, Assaf Arbelle, et al.. (2022). Unsupervised Domain Generalization by Learning a Bridge Across Domains. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 5270–5280. 18 indexed citations

4.

Karlinsky, Leonid, Joseph Shtok, Sivan Harary, et al.. (2021). StarNet: towards Weakly Supervised Few-Shot Object Detection. Proceedings of the AAAI Conference on Artificial Intelligence. 35(2). 1743–1753. 10 indexed citations

5.

Karlinsky, Leonid, Amit Aides, Joseph Shtok, et al.. (2019). LaSO: Label-Set Operations Networks for Multi-Label Few-Shot Learning. 6541–6550. 78 indexed citations

6.

Karlinsky, Leonid, Joseph Shtok, Sivan Harary, et al.. (2019). RepMet: Representative-Based Metric Learning for Classification and Few-Shot Object Detection. 5192–5201. 245 indexed citations

7.

Schwartz, Eli, Leonid Karlinsky, Joseph Shtok, et al.. (2018). Delta-encoder: an effective sample synthesis method for few-shot object recognition. arXiv (Cornell University). 31. 2845–2855. 64 indexed citations

8.

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

9.

Aronowitz, Hagai, Min Li, Orith Toledo‐Ronen, et al.. (2014). Multi-modal biometrics for mobile authentication. 1–8. 21 indexed citations

10.

Bak, Peter Michael, et al.. (2012). Scalable Detection of Spatiotemporal Encounters in Historical Movement Data. Computer Graphics Forum. 31(3pt1). 915–924. 11 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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