Itzik Malkiel

1.1k total citations · 1 hit paper
18 papers, 748 citations indexed

About

Itzik Malkiel is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Itzik Malkiel has authored 18 papers receiving a total of 748 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 5 papers in Atomic and Molecular Physics, and Optics and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Itzik Malkiel's work include Topic Modeling (8 papers), Natural Language Processing Techniques (5 papers) and Photonic Crystals and Applications (4 papers). Itzik Malkiel is often cited by papers focused on Topic Modeling (8 papers), Natural Language Processing Techniques (5 papers) and Photonic Crystals and Applications (4 papers). Itzik Malkiel collaborates with scholars based in Israel, United Kingdom and United States. Itzik Malkiel's co-authors include Lior Wolf, Haim Suchowski, Michael Mrejen, Uri Arieli, Achiya Nagler, John M. Pauly, Christopher J. Hardy, Jonathan I. Tamir, Feiyu Chen and Shreyas Vasanawala and has published in prestigious journals such as Radiology, Optics Letters and Light Science & Applications.

In The Last Decade

Itzik Malkiel

17 papers receiving 719 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Plasmonic nanostructure design and characterization via Deep Learning

2018 528 citations Itzik Malkiel, Michael Mrejen et al. Light Science & Applications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Itzik Malkiel Israel	9	280	254	224	174	161	18	748
Haima Yang China	13	79 0.3×	214 0.8×	142 0.6×	75 0.4×	160 1.0×	73	673
L. P. Zhou China	15	478 1.7×	450 1.8×	217 1.0×	203 1.2×	200 1.2×	49	1.3k
Zhiyong Tan China	17	94 0.3×	441 1.7×	137 0.6×	180 1.0×	32 0.2×	72	716
Bedir Yousif Egypt	17	161 0.6×	732 2.9×	189 0.8×	156 0.9×	53 0.3×	44	1.0k
Jun Liu China	16	59 0.2×	687 2.7×	208 0.9×	110 0.6×	66 0.4×	189	1.1k
Apratim Majumder United States	13	261 0.9×	276 1.1×	320 1.4×	245 1.4×	51 0.3×	42	691
Jeongmin Kim United States	16	147 0.5×	141 0.6×	238 1.1×	410 2.4×	50 0.3×	42	878
Yang Yue China	16	317 1.1×	560 2.2×	165 0.7×	350 2.0×	40 0.2×	90	980
John Peurifoy United States	5	276 1.0×	323 1.3×	214 1.0×	241 1.4×	184 1.1×	5	755
Yixuan Tan United States	8	336 1.2×	420 1.7×	264 1.2×	297 1.7×	159 1.0×	23	973

Countries citing papers authored by Itzik Malkiel

Since Specialization

Citations

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

Fields of papers citing papers by Itzik Malkiel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Itzik Malkiel

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

All Works

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18 of 18 papers shown

1.

Malkiel, Itzik, et al.. (2024). InterrogateLLM: Zero-Resource Hallucination Detection in LLM-Generated Answers. 9333–9347. 2 indexed citations

2.

Malkiel, Itzik, et al.. (2024). SEGLLM: Topic-Oriented Call Segmentation Via LLM-Based Conversation Synthesis. 11361–11365. 1 indexed citations

3.

Barkan, Oren, et al.. (2023). Efficient Discovery and Effective Evaluation of Visual Perceptual Similarity: A Benchmark and Beyond. 19950–19961. 2 indexed citations

4.

Malkiel, Itzik, et al.. (2022). Metricbert: Text Representation Learning Via Self-Supervised Triplet Training. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 1–5. 4 indexed citations

5.

Malkiel, Itzik, et al.. (2022). Interpreting BERT-based Text Similarity via Activation and Saliency Maps. Proceedings of the ACM Web Conference 2022. 3259–3268. 13 indexed citations

6.

Malkiel, Itzik, et al.. (2021). Caption Enriched Samples for Improving Hateful Memes Detection. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 9350–9358. 12 indexed citations

7.

Malkiel, Itzik & Lior Wolf. (2021). MTAdam: Automatic Balancing of Multiple Training Loss Terms. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 10713–10729. 3 indexed citations

8.

Malkiel, Itzik & Lior Wolf. (2021). Maximal Multiverse Learning for Promoting Cross-Task Generalization of Fine-Tuned Language Models. 187–199. 5 indexed citations

9.

Malkiel, Itzik, Michael Mrejen, Lior Wolf, & Haim Suchowski. (2021). Inverse design of unparametrized nanostructures by generating images from spectra. Optics Letters. 46(9). 2087–2087. 10 indexed citations

10.

Barkan, Oren, et al.. (2021). Representation Learning via Variational Bayesian Networks. 78–88. 8 indexed citations

11.

Barkan, Oren, et al.. (2021). GAM. 68–77. 8 indexed citations

12.

Malkiel, Itzik, et al.. (2020). Optimizing BERT for Unlabeled Text-Based Items Similarity.. Empirical Methods in Natural Language Processing. 1704–1714. 1 indexed citations

13.

Malkiel, Itzik, Michael Mrejen, Lior Wolf, & Haim Suchowski. (2020). Machine learning for nanophotonics. MRS Bulletin. 45(3). 221–229. 13 indexed citations

14.

Barkan, Oren, et al.. (2020). Cold Item Recommendations via Hierarchical Item2vec. 14 indexed citations

15.

Mrejen, Michael, Itzik Malkiel, Achiya Nagler, et al.. (2019). Deep Learning for Design and Retrieval of Plasmonic Nanostructures. Conference on Lasers and Electro-Optics. 13. FTu4C.3–FTu4C.3.

16.

Chen, Feiyu, Valentina Taviani, Itzik Malkiel, et al.. (2018). Variable-Density Single-Shot Fast Spin-Echo MRI with Deep Learning Reconstruction by Using Variational Networks. Radiology. 289(2). 366–373. 96 indexed citations

17.

Malkiel, Itzik, Michael Mrejen, Achiya Nagler, et al.. (2018). Plasmonic nanostructure design and characterization via Deep Learning. Light Science & Applications. 7(1). 60–60. 528 indexed citations breakdown →

18.

Malkiel, Itzik, Michael Mrejen, Achiya Nagler, et al.. (2018). Deep learning for the design of nano-photonic structures. 1–14. 28 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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