Nahil Sobh

2.7k total citations · 2 hit papers
54 papers, 2.0k citations indexed

About

Nahil Sobh is a scholar working on Atomic and Molecular Physics, and Optics, Mechanics of Materials and Biomedical Engineering. According to data from OpenAlex, Nahil Sobh has authored 54 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Atomic and Molecular Physics, and Optics, 13 papers in Mechanics of Materials and 12 papers in Biomedical Engineering. Recurrent topics in Nahil Sobh's work include Digital Holography and Microscopy (13 papers), Advanced Numerical Methods in Computational Mathematics (7 papers) and Advanced Fluorescence Microscopy Techniques (5 papers). Nahil Sobh is often cited by papers focused on Digital Holography and Microscopy (13 papers), Advanced Numerical Methods in Computational Mathematics (7 papers) and Advanced Fluorescence Microscopy Techniques (5 papers). Nahil Sobh collaborates with scholars based in United States, Austria and Saudi Arabia. Nahil Sobh's co-authors include Diab Abueidda, Seid Korić, Iwona Jasiuk, Erman Guleryuz, Jörgen Bergström, Rashid K. Abu Al‐Rub, Mete Bakır, Hüseyin Şehitoğlu, Gabriel Popescu and Charbel Farhat and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Nano Letters.

In The Last Decade

Nahil Sobh

52 papers receiving 1.9k 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.

Mechanical properties of 3D printed polymeric cellular materials with triply periodic minimal surface architectures

2017 343 citations Diab Abueidda, Nahil Sobh et al. profile →
Deep learning for topology optimization of 2D metamaterials

2020 253 citations Diab Abueidda, Seid Korić et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nahil Sobh United States	20	636	479	432	400	265	54	2.0k
Shmuel M. Rubinstein United States	28	746 1.2×	821 1.7×	285 0.7×	883 2.2×	238 0.9×	62	3.1k
Takashi Yamamoto Japan	24	470 0.7×	535 1.1×	314 0.7×	542 1.4×	353 1.3×	126	2.4k
Tiemo Bückmann Germany	16	1.1k 1.8×	1.6k 3.3×	427 1.0×	273 0.7×	257 1.0×	17	2.8k
Tobias Frenzel Germany	15	1.2k 1.9×	1.0k 2.1×	403 0.9×	268 0.7×	224 0.8×	20	2.2k
Siddhant Kumar Netherlands	17	604 0.9×	562 1.2×	371 0.9×	418 1.0×	208 0.8×	39	1.5k
A. Srikantha Phani Canada	24	777 1.2×	1.1k 2.2×	367 0.8×	509 1.3×	765 2.9×	74	2.4k
Sicong Shan United States	10	1.5k 2.4×	1.0k 2.1×	524 1.2×	240 0.6×	129 0.5×	21	2.1k
Anirvan DasGupta India	23	1.8k 2.8×	626 1.3×	311 0.7×	405 1.0×	264 1.0×	108	2.8k
Andreï Constantinescu France	28	1.0k 1.6×	373 0.8×	445 1.0×	1.1k 2.7×	414 1.6×	110	2.2k
Anil K. Bajaj United States	31	551 0.9×	500 1.0×	962 2.2×	424 1.1×	130 0.5×	173	3.1k

Countries citing papers authored by Nahil Sobh

Since Specialization

Citations

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

Fields of papers citing papers by Nahil Sobh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nahil Sobh

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

All Works

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20 of 20 papers shown

McGee, Kiaran P., Yi Sui, Robert J. Witte, et al.. (2024). Synthesis of MR fingerprinting information from magnitude-only MR imaging data using a parallelized, multi network U-Net convolutional neural network. SHILAP Revista de lepidopterología. 4. 1498411–1498411.

Goswami, Neha, Nicola Winston, Won‐Ho Choi, et al.. (2024). EVATOM: an optical, label-free, machine learning assisted embryo health assessment tool. Communications Biology. 7(1). 268–268. 5 indexed citations

Korić, Seid, et al.. (2023). Deep learning operator network for plastic deformation with variable loads and material properties. Engineering With Computers. 40(2). 917–929. 31 indexed citations

Sobh, Nahil, et al.. (2023). Error estimates and physics informed augmentation of neural networks for thermally coupled incompressible Navier Stokes equations. Computational Mechanics. 72(2). 267–289. 8 indexed citations

He, Shenghua, Sourya Sengupta, Krishnarao Tangella, et al.. (2022). White blood cell detection, classification and analysis using phase imaging with computational specificity (PICS). Scientific Reports. 12(1). 20043–20043. 11 indexed citations

Goswami, Neha, Yu‐Heng Deng, Chamteut Oh, et al.. (2021). Label-free SARS-CoV-2 detection and classification using phase imaging with computational specificity. Light Science & Applications. 10(1). 176–176. 43 indexed citations

Lee, Chia‐Hao, Di Luo, Chuqiao Shi, et al.. (2021). Probing the Strain Fields of Single-Atom Defects in 2D materials with Sub-Picometer Precision. Microscopy and Microanalysis. 27(S1). 1944–1944. 2 indexed citations

Kandel, Mikhail E., et al.. (2020). Reproductive outcomes predicted by phase imaging with computational specificity of spermatozoon ultrastructure. Proceedings of the National Academy of Sciences. 117(31). 18302–18309. 29 indexed citations

Abueidda, Diab, Seid Korić, & Nahil Sobh. (2020). Machine learning accelerated topology optimization of nonlinear structures.. arXiv (Cornell University). 1 indexed citations

10.

Kandel, Mikhail E., Young Jae Lee, Onur Aydin, et al.. (2020). PICS: Phase Imaging with Computational Specificity. arXiv (Cornell University). 1 indexed citations

11.

Sobh, Nahil, et al.. (2020). Label-free colorectal cancer screening using deep learning and spatial light interference microscopy (SLIM). APL Photonics. 5(4). 40805–40805. 37 indexed citations

12.

Chaney, Eric J., et al.. (2019). Interstitial magnetic thermotherapy dosimetry based on shear wave magnetomotive optical coherence elastography. Biomedical Optics Express. 10(2). 539–539. 12 indexed citations

13.

Abueidda, Diab, et al.. (2018). Shielding effectiveness and bandgaps of interpenetrating phase composites based on the Schwarz Primitive surface. Journal of Applied Physics. 124(17). 18 indexed citations

14.

Ahmad, Adeel, et al.. (2015). Mechanical contrast in spectroscopic magnetomotive optical coherence elastography. Physics in Medicine and Biology. 60(17). 6655–6668. 14 indexed citations

15.

Ahmad, Adeel, et al.. (2014). Magnetomotive optical coherence elastography using magnetic particles to induce mechanical waves. Biomedical Optics Express. 5(7). 2349–2349. 38 indexed citations

16.

Smith, Jeremy G., et al.. (2014). DDSCAT Discrete Dipole Approximation. 1 indexed citations

17.

Dietrich, Chris H., et al.. (2012). InvertNet: a new paradigm for digital access to invertebrate collections. ZooKeys. 209(209). 165–181. 20 indexed citations

18.

Wang, Zhuo, Nahil Sobh, Larry J. Millet, et al.. (2011). One-dimensional deterministic transport in neurons measured by dispersion-relation phase spectroscopy. Journal of Physics Condensed Matter. 23(37). 374107–374107. 20 indexed citations

19.

Rashid, Salim, et al.. (2006). Dynamic Contracting for Development Aid Projects. Mechanism Design and High Performance Computation. Institutional Repository (IHS Vienna). 1 indexed citations

20.

Farhat, Charbel & Nahil Sobh. (1989). A coarse/fine preconditioner for very ill‐conditioned finite element problems. International Journal for Numerical Methods in Engineering. 28(7). 1715–1723. 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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