Ishai Rosenberg

403 total citations
10 papers, 60 citations indexed

About

Ishai Rosenberg is a scholar working on Artificial Intelligence, Signal Processing and Computer Networks and Communications. According to data from OpenAlex, Ishai Rosenberg has authored 10 papers receiving a total of 60 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 7 papers in Signal Processing and 6 papers in Computer Networks and Communications. Recurrent topics in Ishai Rosenberg's work include Adversarial Robustness in Machine Learning (7 papers), Advanced Malware Detection Techniques (7 papers) and Network Security and Intrusion Detection (6 papers). Ishai Rosenberg is often cited by papers focused on Adversarial Robustness in Machine Learning (7 papers), Advanced Malware Detection Techniques (7 papers) and Network Security and Intrusion Detection (6 papers). Ishai Rosenberg collaborates with scholars based in Israel, Canada and Japan. Ishai Rosenberg's co-authors include Yuval Elovici, Asaf Shabtai, Lior Rokach, Ehud Gudes, Yair Motro, Moshe Levy and Jacob Moran‐Gilad and has published in prestigious journals such as Concurrency and Computation Practice and Experience and arXiv (Cornell University).

In The Last Decade

Ishai Rosenberg

10 papers receiving 56 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ishai Rosenberg Israel	6	47	42	37	11	4	10	60
Vincent Laporte France	5	48 1.0×	27 0.6×	16 0.4×	6 0.5×	4 1.0×	12	58
Feargus Pendlebury United Kingdom	6	73 1.6×	49 1.2×	75 2.0×	15 1.4×	9 2.3×	9	103
Ryan Sheatsley United States	5	29 0.6×	26 0.6×	36 1.0×	13 1.2×	1 0.3×	14	64
Bojan Kolosnjaji Germany	3	52 1.1×	76 1.8×	70 1.9×	49 4.5×	8 2.0×	5	97
Stefania Dumbrava France	5	42 0.9×	16 0.4×	37 1.0×	5 0.5×		13	62
Mikal Ziane France	5	28 0.6×	29 0.7×	50 1.4×	17 1.5×	1 0.3×	9	75
Tsutomu Matsumoto Japan	2	27 0.6×	20 0.5×	13 0.4×	21 1.9×	4 1.0×	5	48
Holger Sturm Germany	6	77 1.6×	12 0.3×	29 0.8×	6 0.5×	2 0.5×	11	85
Rainer Manthey Germany	5	27 0.6×	16 0.4×	25 0.7×	10 0.9×	2 0.5×	14	39
R. Kuesters China	2	32 0.7×	16 0.4×	23 0.6×	20 1.8×	1 0.3×	2	47

Countries citing papers authored by Ishai Rosenberg

Since Specialization

Citations

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

Fields of papers citing papers by Ishai Rosenberg

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ishai Rosenberg

This figure shows the co-authorship network connecting the top 25 collaborators of Ishai Rosenberg. A scholar is included among the top collaborators of Ishai Rosenberg 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 Ishai Rosenberg. Ishai Rosenberg 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.

Rosenberg, Ishai, Asaf Shabtai, Yuval Elovici, & Lior Rokach. (2021). Sequence Squeezing: A Defense Method Against Adversarial Examples for API Call-Based RNN Variants. 7 indexed citations

2.

Rosenberg, Ishai, Asaf Shabtai, Yuval Elovici, & Lior Rokach. (2020). Adversarial Learning in the Cyber Security Domain. arXiv (Cornell University). 6 indexed citations

3.

Levy, Moshe, et al.. (2020). GLOD: Gaussian Likelihood Out of Distribution Detector.. arXiv (Cornell University). 1 indexed citations

4.

Rosenberg, Ishai, et al.. (2020). Adversarial Vulnerability of Deep Learning Models in Analyzing Next Generation Sequencing Data. 464–468. 1 indexed citations

5.

Rosenberg, Ishai, Asaf Shabtai, Yuval Elovici, & Lior Rokach. (2018). Low Resource Black-Box End-to-End Attack Against State of the Art API Call Based Malware Classifiers.. arXiv (Cornell University). 4 indexed citations

6.

Rosenberg, Ishai, Asaf Shabtai, Yuval Elovici, & Lior Rokach. (2018). Query-Efficient GAN Based Black-Box Attack Against Sequence Based Machine and Deep Learning Classifiers. arXiv (Cornell University). 5 indexed citations

7.

Rosenberg, Ishai, et al.. (2018). DeepOrigin: End-To-End Deep Learning For Detection Of New Malware Families. arXiv (Cornell University). 1–7. 12 indexed citations

8.

Rosenberg, Ishai, Asaf Shabtai, Lior Rokach, & Yuval Elovici. (2017). Generic Black-Box End-to-End Attack against RNNs and Other API Calls Based Malware Classifiers.. arXiv (Cornell University). 13 indexed citations

9.

Rosenberg, Ishai & Ehud Gudes. (2016). Bypassing system calls–based intrusion detection systems. Concurrency and Computation Practice and Experience. 29(16). 9 indexed citations

10.

Rosenberg, Ishai, et al.. (2003). Variable selection heuristics and optimum decision trees-an experimental study. 238–244. 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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