George Zaki

909 total citations
32 papers, 439 citations indexed

About

George Zaki is a scholar working on Computer Networks and Communications, Molecular Biology and Hardware and Architecture. According to data from OpenAlex, George Zaki has authored 32 papers receiving a total of 439 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Networks and Communications, 8 papers in Molecular Biology and 8 papers in Hardware and Architecture. Recurrent topics in George Zaki's work include Embedded Systems Design Techniques (7 papers), Parallel Computing and Optimization Techniques (7 papers) and Interconnection Networks and Systems (6 papers). George Zaki is often cited by papers focused on Embedded Systems Design Techniques (7 papers), Parallel Computing and Optimization Techniques (7 papers) and Interconnection Networks and Systems (6 papers). George Zaki collaborates with scholars based in United States, Egypt and India. George Zaki's co-authors include William Plishker, Gianluca Pegoraro, Prabhakar R. Gudla, Murali Palangat, Mayank Tandon, Dimitrios G. Anastasakis, Joseph Rodriguez, Daniel R. Larson, Sarah Shefer and Gerald Salen and has published in prestigious journals such as Cell, Molecular Cell and Journal of Molecular Biology.

In The Last Decade

George Zaki

32 papers receiving 424 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
George Zaki United States 11 208 46 43 39 36 32 439
Yuyao Kong China 10 198 1.0× 26 0.6× 18 0.4× 32 0.8× 11 0.3× 23 595
Miki Tanaka Japan 10 161 0.8× 19 0.4× 41 1.0× 18 0.5× 47 1.3× 36 438
Hyun‐Ji Choi South Korea 15 177 0.9× 24 0.5× 31 0.7× 38 1.0× 93 2.6× 34 506
Eric Kernfeld United States 7 220 1.1× 7 0.2× 30 0.7× 84 2.2× 37 1.0× 11 530
Takeyuki Tamura Japan 16 510 2.5× 9 0.2× 12 0.3× 19 0.5× 71 2.0× 73 774
Ke Zuo China 9 84 0.4× 29 0.6× 14 0.3× 15 0.4× 48 1.3× 24 256
Mohamed Marouf Egypt 7 198 1.0× 10 0.2× 11 0.3× 16 0.4× 21 0.6× 15 351
Takayuki Okamoto Japan 9 69 0.3× 85 1.8× 42 1.0× 13 0.3× 10 0.3× 29 376
David S. Owen United Kingdom 6 146 0.7× 55 1.2× 31 0.7× 34 0.9× 5 0.1× 8 382
Natalie Stanley United States 9 185 0.9× 18 0.4× 11 0.3× 20 0.5× 38 1.1× 34 371

Countries citing papers authored by George Zaki

Since Specialization
Citations

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

Fields of papers citing papers by George Zaki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of George Zaki

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

All Works

20 of 20 papers shown
1.
Gui, Gege, Jeremy Herzog, Abigail Wong-Rolle, et al.. (2025). Single-cell spatial transcriptomics reveals immunotherapy-driven bone marrow niche remodeling in AML. Science Advances. 11(28). eadw4871–eadw4871. 1 indexed citations
2.
Mendhiratta, Neil, Alexander P. Kenigsberg, Barış Türkbey, et al.. (2025). LLM-Mediated Data Extraction from Patient Records after Radical Prostatectomy. NEJM AI. 2(6). 1 indexed citations
3.
Zaki, George, et al.. (2024). Abstract 6199: Defining and capturing progression in glioma by harnessing NLP in unstructured electronic health records. Cancer Research. 84(6_Supplement). 6199–6199. 1 indexed citations
4.
Wan, Yihan, Dimitrios G. Anastasakis, Joseph Rodriguez, et al.. (2021). Dynamic imaging of nascent RNA reveals general principles of transcription dynamics and stochastic splice site selection. Cell. 184(11). 2878–2895.e20. 103 indexed citations
5.
Farahani, Keyvan, Tahsin Kurç, Spyridon Bakas, et al.. (2020). Computational Precision Medicine Radiology-Pathology challenge on Brain Tumor Classification 2020. Zenodo (CERN European Organization for Nuclear Research). 4 indexed citations
6.
Zaki, George, Prabhakar R. Gudla, Laurent Ozbun, et al.. (2020). A Deep Learning Pipeline for Nucleus Segmentation. Cytometry Part A. 97(12). 1248–1264. 9 indexed citations
7.
Bhattacharya, Tanmoy, Thomas Brettin, James H. Doroshow, et al.. (2019). AI Meets Exascale Computing: Advancing Cancer Research With Large-Scale High Performance Computing. Frontiers in Oncology. 9. 984–984. 22 indexed citations
8.
Stavreva, Diana A., David A. Garcia, Grégory Fettweis, et al.. (2019). Transcriptional Bursting and Co-bursting Regulation by Steroid Hormone Release Pattern and Transcription Factor Mobility. Molecular Cell. 75(6). 1161–1177.e11. 89 indexed citations
9.
Gudla, Prabhakar R., George Zaki, Sigal Shachar, Tom Misteli, & Gianluca Pegoraro. (2019). Deep Learning Based Segmentation of Nuclei from Fluorescence Microscopy Images. Microscopy and Microanalysis. 25(S2). 1376–1377. 2 indexed citations
10.
Zaki, George, Justin M. Wozniak, Jonathan Ozik, et al.. (2018). Portable and Reusable Deep Learning Infrastructure with Containers to Accelerate Cancer Studies. 54–61. 2 indexed citations
11.
Bhandari, Yuba R., Lixin Fan, Xianyang Fang, et al.. (2017). Topological Structure Determination of RNA Using Small-Angle X-Ray Scattering. Journal of Molecular Biology. 429(23). 3635–3649. 12 indexed citations
12.
Zaki, George, William Plishker, Wen Li, et al.. (2016). The Utility of Cloud Computing in Analyzing GPU-Accelerated Deformable Image Registration of CT and CBCT Images in Head and Neck Cancer Radiation Therapy. IEEE Journal of Translational Engineering in Health and Medicine. 4. 1–11. 15 indexed citations
13.
Liu, Xinyang, et al.. (2016). On-demand calibration and evaluation for electromagnetically tracked laparoscope in augmented reality visualization. International Journal of Computer Assisted Radiology and Surgery. 11(6). 1163–1171. 14 indexed citations
14.
Liu, Xinyang, et al.. (2016). Laparoscopic stereoscopic augmented reality: toward a clinically viable electromagnetic tracking solution. Journal of Medical Imaging. 3(4). 45001–45001. 23 indexed citations
15.
Robertson, Matthew, Xinyang Liu, William Plishker, et al.. (2016). Software-based PET-MR image coregistration: combined PET-MRI for the rest of us!. Pediatric Radiology. 46(11). 1552–1561. 10 indexed citations
16.
Zaki, George, et al.. (2014). Partial expansion of dataflow graphs for resource-aware scheduling of multicore signal processing systems. 2014 48th Asilomar Conference on Signals, Systems and Computers. 385–392. 1 indexed citations
17.
Zaki, George, et al.. (2012). Integration of Dataflow-Based Heterogeneous Multiprocessor Scheduling Techniques in GNU Radio. Journal of Signal Processing Systems. 70(2). 177–191. 6 indexed citations
18.
Plishker, William, et al.. (2011). Applying graphics processor acceleration in a software defined radio prototyping environment. 67–73. 13 indexed citations
19.
20.
Chen, Thomas S., George Zaki, & Carroll M. Leevy. (1979). Studies of Nucleic Acid and Collagen Synthesis: Current Status in Assessing Liver Repair. Medical Clinics of North America. 63(3). 583–592. 3 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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