Joseph S. Najem

998 total citations
41 papers, 822 citations indexed

About

Joseph S. Najem is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Cellular and Molecular Neuroscience. According to data from OpenAlex, Joseph S. Najem has authored 41 papers receiving a total of 822 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Electrical and Electronic Engineering, 17 papers in Biomedical Engineering and 11 papers in Cellular and Molecular Neuroscience. Recurrent topics in Joseph S. Najem's work include Advanced Memory and Neural Computing (19 papers), Neural dynamics and brain function (10 papers) and Lipid Membrane Structure and Behavior (10 papers). Joseph S. Najem is often cited by papers focused on Advanced Memory and Neural Computing (19 papers), Neural dynamics and brain function (10 papers) and Lipid Membrane Structure and Behavior (10 papers). Joseph S. Najem collaborates with scholars based in United States, Lebanon and Canada. Joseph S. Najem's co-authors include Stephen A. Sarles, Donald J. Leo, Md Sakib Hasan, Barbar J. Akle, Ryan Weiss, Garrett S. Rose, C. Patrick Collier, Graham J. Taylor, Eric C. Freeman and Alex Belianinov and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Joseph S. Najem

39 papers receiving 803 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joseph S. Najem United States 13 375 334 183 172 106 41 822
Stephen A. Sarles United States 23 727 1.9× 574 1.7× 552 3.0× 277 1.6× 149 1.4× 83 1.6k
Vamsy P. Chodavarapu Canada 18 656 1.7× 636 1.9× 131 0.7× 179 1.0× 65 0.6× 100 1.3k
Satoyuki Kawano Japan 19 905 2.4× 287 0.9× 133 0.7× 46 0.3× 206 1.9× 107 1.3k
Ayumi Hirano‐Iwata Japan 22 498 1.3× 389 1.2× 503 2.7× 296 1.7× 191 1.8× 106 1.3k
Guanhua Yang China 21 147 0.4× 1.2k 3.7× 74 0.4× 149 0.9× 51 0.5× 112 1.6k
Hong Han China 24 436 1.2× 1.2k 3.6× 109 0.6× 568 3.3× 137 1.3× 40 1.6k
Ge Zhang United States 16 216 0.6× 231 0.7× 44 0.2× 38 0.2× 122 1.2× 40 866
Cristina Martin‐Olmos Switzerland 18 405 1.1× 576 1.7× 46 0.3× 137 0.8× 162 1.5× 47 1.1k
Yumei Zhai United States 14 200 0.5× 185 0.6× 72 0.4× 101 0.6× 315 3.0× 20 1.4k

Countries citing papers authored by Joseph S. Najem

Since Specialization
Citations

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

Fields of papers citing papers by Joseph S. Najem

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joseph S. Najem. 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 Joseph S. Najem. The network helps show where Joseph S. Najem may publish in the future.

Co-authorship network of co-authors of Joseph S. Najem

This figure shows the co-authorship network connecting the top 25 collaborators of Joseph S. Najem. A scholar is included among the top collaborators of Joseph S. Najem 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 Joseph S. Najem. Joseph S. Najem 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.
Bolmatov, Dima, Rana Ashkar, Virginia Sullivan, et al.. (2025). Electromechanically induced membrane restructuring enables learning and memory. Proceedings of the National Academy of Sciences. 122(45). e2510664122–e2510664122. 2 indexed citations
2.
Hall, Derek M., et al.. (2025). Design optimization of electric-fish-inspired power sources using statistical and machine learning approaches. Journal of Power Sources. 661. 238621–238621. 1 indexed citations
3.
Hasan, Md Sakib, et al.. (2025). Memimpedance‐Based Biomolecular Device for Adaptive Physical Reservoir Computing. Advanced Intelligent Systems. 7(11). 2 indexed citations
4.
Hall, Derek M., et al.. (2025). Mechanistic insights into electric fish-inspired power sources: A combined modeling and experimental approach. Electrochimica Acta. 525. 146043–146043. 2 indexed citations
5.
Hall, Derek M., et al.. (2025). Electric‐Fish‐Inspired Thin Hydrogel Electrocytes Achieve High Power Density and Environmental Robustness. Advanced Science. 13(9). e19348–e19348.
6.
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Hasan, Md Sakib, et al.. (2024). Intrinsic Voltage Offsets in Memcapacitive Biomembranes Enable High-Performance Physical Reservoir Computing. ACS Applied Engineering Materials. 2(8). 2118–2130. 9 indexed citations
8.
Hasan, Md Sakib, et al.. (2024). Nonlinear memristor model with exact solution allows for ex situ reservoir computing training and in situ inference. Nanoscale. 17(4). 2068–2077. 5 indexed citations
9.
Najem, Joseph S., et al.. (2023). Biomembrane‐Based Memcapacitive Reservoir Computing System for Energy‐Efficient Temporal Data Processing. SHILAP Revista de lepidopterología. 5(12). 19 indexed citations
10.
Najem, Joseph S., et al.. (2022). Memristor based Reservoir Network for Chaotic Time Series Prediction. 2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME). 1–6. 2 indexed citations
11.
Najem, Joseph S., et al.. (2019). Memristive plasticity in artificial electrical synapses via geometrically reconfigurable, gramicidin-doped biomembranes. Nanoscale. 11(40). 18640–18652. 26 indexed citations
12.
Najem, Joseph S., Md Sakib Hasan, R. Stanley Williams, et al.. (2019). Dynamical nonlinear memory capacitance in biomimetic membranes. Nature Communications. 10(1). 3239–3239. 81 indexed citations
13.
Najem, Joseph S., et al.. (2019). Memcapacitive Devices in Neuromorphic Circuits via Polymeric Biomimetic Membranes. 2 indexed citations
14.
Song, Woochul, Himanshu Joshi, Ratul Chowdhury, et al.. (2019). Artificial water channels enable fast and selective water permeation through water-wire networks. Nature Nanotechnology. 15(1). 73–79. 141 indexed citations
15.
Najem, Joseph S., Graham J. Taylor, Ryan Weiss, et al.. (2019). Assembly and Characterization of Biomolecular Memristors Consisting of Ion Channel-doped Lipid Membranes. Journal of Visualized Experiments. 7 indexed citations
16.
Najem, Joseph S., Graham J. Taylor, Ryan Weiss, et al.. (2018). Memristive Ion Channel-Doped Biomembranes as Synaptic Mimics. ACS Nano. 12(5). 4702–4711. 150 indexed citations
17.
Najem, Joseph S., et al.. (2018). Encapsulating Networks of Droplet Interface Bilayers in a Thermoreversible Organogel. Scientific Reports. 8(1). 6494–6494. 22 indexed citations
18.
Najem, Joseph S., Eric C. Freeman, Sergei Sukharev, & Donald J. Leo. (2015). Modulation of MscL activity in droplet interface bilayers through tailored interfacial mechanical properties. Bulletin of the American Physical Society. 2015. 1 indexed citations
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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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