Guy Nadav

977 total citations · 1 hit paper
9 papers, 521 citations indexed

About

Guy Nadav is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Guy Nadav has authored 9 papers receiving a total of 521 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Radiology, Nuclear Medicine and Imaging, 3 papers in Molecular Biology and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Guy Nadav's work include MRI in cancer diagnosis (6 papers), Advanced MRI Techniques and Applications (4 papers) and Advanced Neuroimaging Techniques and Applications (3 papers). Guy Nadav is often cited by papers focused on MRI in cancer diagnosis (6 papers), Advanced MRI Techniques and Applications (4 papers) and Advanced Neuroimaging Techniques and Applications (3 papers). Guy Nadav collaborates with scholars based in Israel, United States and Germany. Guy Nadav's co-authors include Nicole Fleischer, Peter Krawitz, Yaron Gurovich, Lina Basel‐Salmon, Lynne M. Bird, Martin Zenker, Karen W. Gripp, Omri Bar, Yair Hanani and Susanne B. Kamphausen and has published in prestigious journals such as Nature Medicine, Journal of Magnetic Resonance Imaging and Journal of Neuro-Oncology.

In The Last Decade

Guy Nadav

9 papers receiving 503 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.

Identifying facial phenotypes of genetic disorders using deep learning

2018 411 citations Yaron Gurovich, Yair Hanani et al. Nature Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Guy Nadav Israel	6	151	132	117	88	57	9	521
Lina Basel‐Salmon Israel	11	285 1.9×	52 0.4×	212 1.8×	80 0.9×	52 0.9×	35	683
Nicole Fleischer United States	9	213 1.4×	56 0.4×	172 1.5×	92 1.0×	57 1.0×	18	545
Yaron Gurovich Germany	3	155 1.0×	51 0.4×	118 1.0×	84 1.0×	54 0.9×	3	440
Yair Hanani Israel	5	154 1.0×	52 0.4×	119 1.0×	131 1.5×	81 1.4×	7	514
Felipe Giuste United States	11	44 0.3×	82 0.6×	225 1.9×	94 1.1×	13 0.2×	36	519
Omri Bar United States	8	172 1.1×	81 0.6×	154 1.3×	95 1.1×	62 1.1×	16	653
William D. Dunn United States	11	44 0.3×	210 1.6×	76 0.6×	54 0.6×	28 0.5×	16	449
Ken Takasawa Japan	15	34 0.2×	188 1.4×	264 2.3×	142 1.6×	25 0.4×	27	652
Eyal Lotan Israel	10	48 0.3×	197 1.5×	62 0.5×	22 0.3×	25 0.4×	34	571
T. Beck United States	9	139 0.9×	46 0.3×	221 1.9×	85 1.0×	7 0.1×	12	566

Countries citing papers authored by Guy Nadav

Since Specialization

Citations

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

Fields of papers citing papers by Guy Nadav

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guy Nadav

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

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Wang, Fengjun, et al.. (2023). MuMIC – Multimodal Embedding for Multi-Label Image Classification with Tempered Sigmoid. Proceedings of the AAAI Conference on Artificial Intelligence. 37(13). 15603–15611. 5 indexed citations

2.

Schmid, Alexander, Ashar Ahmad, Alexej Knaus, et al.. (2021). CADA: phenotype-driven gene prioritization based on a case-enriched knowledge graph. NAR Genomics and Bioinformatics. 3(3). lqab078–lqab078. 15 indexed citations

3.

Gurovich, Yaron, Yair Hanani, Omri Bar, et al.. (2018). Identifying facial phenotypes of genetic disorders using deep learning. Nature Medicine. 25(1). 60–64. 411 indexed citations breakdown →

4.

Artzi, Moran, Gilad Liberman, Guy Nadav, et al.. (2016). Differentiation between treatment-related changes and progressive disease in patients with high grade brain tumors using support vector machine classification based on DCE MRI. Journal of Neuro-Oncology. 127(3). 515–524. 25 indexed citations

5.

Artzi, Moran, Gilad Liberman, Guy Nadav, et al.. (2016). Optimization of DCE-MRI protocol for the assessment of patients with brain tumors. Magnetic Resonance Imaging. 34(9). 1242–1247. 3 indexed citations

6.

Nadav, Guy, Gilad Liberman, Moran Artzi, Nahum Kiryati, & Dafna Ben Bashat. (2016). Optimization of two-compartment-exchange-model analysis for dynamic contrast-enhanced mri incorporating bolus arrival time. Journal of Magnetic Resonance Imaging. 45(1). 237–249. 2 indexed citations

7.

Liberman, Gilad, Yoram Louzoun, Moran Artzi, et al.. (2015). DUSTER: dynamic contrast enhance up-sampled temporal resolution analysis method. Magnetic Resonance Imaging. 34(4). 442–450. 11 indexed citations

8.

Artzi, Moran, Gilad Liberman, Guy Nadav, et al.. (2015). Human cerebral blood volume measurements using dynamic contrast enhancement in comparison to dynamic susceptibility contrast MRI. Neuroradiology. 57(7). 671–678. 17 indexed citations

9.

Artzi, Moran, Deborah T. Blumenthal, Felix Bokstein, et al.. (2014). Classification of tumor area using combined DCE and DSC MRI in patients with glioblastoma. Journal of Neuro-Oncology. 121(2). 349–357. 32 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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