Elias Nehme

1.6k total citations · 1 hit paper
19 papers, 659 citations indexed

About

Elias Nehme is a scholar working on Biophysics, Biomedical Engineering and Media Technology. According to data from OpenAlex, Elias Nehme has authored 19 papers receiving a total of 659 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Biophysics, 7 papers in Biomedical Engineering and 5 papers in Media Technology. Recurrent topics in Elias Nehme's work include Advanced Fluorescence Microscopy Techniques (12 papers), Image Processing Techniques and Applications (5 papers) and Advanced Electron Microscopy Techniques and Applications (4 papers). Elias Nehme is often cited by papers focused on Advanced Fluorescence Microscopy Techniques (12 papers), Image Processing Techniques and Applications (5 papers) and Advanced Electron Microscopy Techniques and Applications (4 papers). Elias Nehme collaborates with scholars based in Israel, United States and Germany. Elias Nehme's co-authors include Yoav Shechtman, Lucien E. Weiss, Tomer Michaeli, Michael Chein, Yael Roichman, Eran Perlson, Boris Ferdman, Onit Alalouf, Daniel Z. Freedman and Mike Heilemann and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Elias Nehme

18 papers receiving 622 citations

Hit Papers

Deep-STORM: super-resolution single-molecule microscopy b... 2018 2026 2020 2023 2018 100 200 300 400
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.

  1. Deep-STORM: super-resolution single-molecule microscopy by deep learning
    2018 406 citations Elias Nehme, Lucien E. Weiss et al. Optica profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Elias Nehme Israel 8 372 213 149 128 117 19 659
H. I. C. Dalgarno United Kingdom 7 332 0.9× 472 2.2× 553 3.7× 63 0.5× 67 0.6× 10 840
Tom Vettenburg United Kingdom 10 352 0.9× 595 2.8× 655 4.4× 79 0.6× 68 0.6× 34 1.0k
Sergey Alexandrov Ireland 15 304 0.8× 537 2.5× 433 2.9× 122 1.0× 29 0.2× 62 913
Chrysanthe Preza United States 12 464 1.2× 384 1.8× 338 2.3× 216 1.7× 30 0.3× 82 807
Cédric Allier France 18 263 0.7× 347 1.6× 409 2.7× 179 1.4× 78 0.7× 58 933
Christopher P. Calderon United States 15 168 0.5× 172 0.8× 91 0.6× 23 0.2× 318 2.7× 39 578
Marc Allain France 7 259 0.7× 270 1.3× 164 1.1× 44 0.3× 21 0.2× 15 480
Yansheng Liang China 17 131 0.4× 519 2.4× 694 4.7× 111 0.9× 20 0.2× 45 870
Oleg Soloviev Netherlands 13 112 0.3× 167 0.8× 291 2.0× 55 0.4× 15 0.1× 85 547
G. Reiner Germany 13 300 0.8× 280 1.3× 487 3.3× 23 0.2× 82 0.7× 41 1.1k

Countries citing papers authored by Elias Nehme

Since Specialization
Citations

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

Fields of papers citing papers by Elias Nehme

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elias Nehme

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

All Works

19 of 19 papers shown
1.
Nehme, Elias, et al.. (2024). Large-FOV 3D localization microscopy by spatially variant point spread function generation. Science Advances. 10(10). eadj3656–eadj3656. 10 indexed citations
2.
Nehme, Elias, et al.. (2024). Uncertainty Visualization via Low-Dimensional Posterior Projections. 11041–11051. 1 indexed citations
3.
Nehme, Elias & Tomer Michaeli. (2024). Generative AI for Solving Inverse Problems in Computational Imaging. XRDS Crossroads The ACM Magazine for Students. 31(2). 32–37. 1 indexed citations
4.
Nehme, Elias, et al.. (2024). Depth-enhanced high-throughput microscopy by compact PSF engineering. Nature Communications. 15(1). 4861–4861. 5 indexed citations
5.
Michaeli, Tomer, et al.. (2024). Hierarchical Uncertainty Exploration via Feedforward Posterior Trees. 125142–125191. 1 indexed citations
6.
Nehme, Elias, et al.. (2022). Quantifying cell-cycle-dependent chromatin dynamics during interphase by live 3D tracking. iScience. 25(5). 104197–104197. 4 indexed citations
7.
Ferdman, Boris, et al.. (2022). Learning Optimal Multicolor PSF Design for 3D Pairwise Distance Estimation. SHILAP Revista de lepidopterología. 2022. 2 indexed citations
8.
Nehme, Elias, et al.. (2021). 3D printable diffractive optical elements by liquid immersion. Nature Communications. 12(1). 3067–3067. 19 indexed citations
9.
Weiss, Lucien E., Elias Nehme, Christos Karathanasis, et al.. (2021). Automated Analysis of Fluorescence Kinetics in Single-Molecule Localization Microscopy Data Reveals Protein Stoichiometry. The Journal of Physical Chemistry B. 125(22). 5716–5721. 5 indexed citations
10.
Nehme, Elias, Boris Ferdman, Lucien E. Weiss, et al.. (2021). Learning Optimal Wavefront Shaping for Multi-Channel Imaging. IEEE Transactions on Pattern Analysis and Machine Intelligence. 43(7). 2179–2192. 28 indexed citations
11.
Ferdman, Boris, et al.. (2021). Deep-ROCS: from speckle patterns to superior-resolved images by deep learning in rotating coherent scattering microscopy. Optics Express. 29(15). 23877–23877. 6 indexed citations
12.
13.
Ferdman, Boris, et al.. (2020). VIPR: vectorial implementation of phase retrieval for fast and accurate microscopic pixel-wise pupil estimation. Optics Express. 28(7). 10179–10179. 29 indexed citations
14.
Weiss, Lucien E., et al.. (2020). Microscopic scan-free surface profiling over extended axial ranges by point-spread-function engineering. Science Advances. 6(44). 7 indexed citations
15.
Nehme, Elias, Daniel Z. Freedman, Boris Ferdman, et al.. (2020). DeepSTORM3D: dense 3D localization microscopy and PSF design by deep learning. Zenodo (CERN European Organization for Nuclear Research). 7 indexed citations
16.
Nehme, Elias, et al.. (2019). Dense three dimensional localization microscopy by deep learning. arXiv (Cornell University). 3 indexed citations
17.
Weiss, Lucien E., Elias Nehme, Michael Chein, et al.. (2019). Single-Particle Diffusion Characterization by Deep Learning. Biophysical Journal. 117(2). 185–192. 124 indexed citations
18.
Nehme, Elias, et al.. (2019). Deep learning for dense and multicolor localization microscopy (Conference Presentation). 27–27. 1 indexed citations
19.
Nehme, Elias, Lucien E. Weiss, Tomer Michaeli, & Yoav Shechtman. (2018). Deep-STORM: super-resolution single-molecule microscopy by deep learning. Optica. 5(4). 458–458. 406 indexed citations breakdown →

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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