Gina C. Adam

4.2k total citations · 1 hit paper
46 papers, 3.3k citations indexed

About

Gina C. Adam is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience and Artificial Intelligence. According to data from OpenAlex, Gina C. Adam has authored 46 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Electrical and Electronic Engineering, 15 papers in Cellular and Molecular Neuroscience and 8 papers in Artificial Intelligence. Recurrent topics in Gina C. Adam's work include Advanced Memory and Neural Computing (29 papers), Ferroelectric and Negative Capacitance Devices (15 papers) and Neuroscience and Neural Engineering (12 papers). Gina C. Adam is often cited by papers focused on Advanced Memory and Neural Computing (29 papers), Ferroelectric and Negative Capacitance Devices (15 papers) and Neuroscience and Neural Engineering (12 papers). Gina C. Adam collaborates with scholars based in United States, Romania and Japan. Gina C. Adam's co-authors include Brian D. Hoskins, Dmitri B. Strukov, M. Prezioso, Konstantin K. Likharev, Farshad Merrikh‐Bayat, Bhaswar Chakrabarti, Themis Prodromakis, Ali Khiat, Farnood Merrikh-Bayat and Hussein Nili and has published in prestigious journals such as Nature, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Gina C. Adam

42 papers receiving 3.2k citations

Hit Papers

1 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.

Training and operation of an integrated neuromorphic network based on metal-oxide memristors

2015 2.3k citations M. Prezioso, Farshad Merrikh‐Bayat et al. Nature profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Gina C. Adam United States	13	3.1k	1.5k	526	496	421	46	3.3k
Brian D. Hoskins United States	16	3.4k 1.1×	1.6k 1.1×	538 1.0×	577 1.2×	484 1.1×	41	3.5k
Catherine E. Graves United States	18	3.0k 1.0×	1.1k 0.7×	605 1.2×	399 0.8×	276 0.7×	36	3.3k
Noraica Dávila United States	17	2.8k 0.9×	1.1k 0.7×	509 1.0×	426 0.9×	314 0.7×	23	2.9k
Yunning Li United States	14	3.6k 1.2×	1.5k 1.0×	709 1.3×	720 1.5×	322 0.8×	18	3.8k
Saumil Joshi United States	15	3.3k 1.1×	1.6k 1.1×	365 0.7×	606 1.2×	549 1.3×	22	3.4k
Stefano Ambrogio United States	31	3.8k 1.2×	1.2k 0.8×	692 1.3×	593 1.2×	434 1.0×	82	3.9k
Wenqiang Zhang China	17	4.3k 1.4×	1.5k 1.0×	1.0k 1.9×	706 1.4×	451 1.1×	41	4.6k
M. Prezioso United States	22	4.3k 1.4×	1.9k 1.3×	721 1.4×	698 1.4×	550 1.3×	43	4.5k
Irem Boybat Switzerland	19	3.9k 1.3×	1.2k 0.8×	1.0k 1.9×	581 1.2×	447 1.1×	41	4.1k
Pai-Yu Chen United States	32	4.8k 1.5×	1.5k 1.0×	810 1.5×	412 0.8×	493 1.2×	58	5.0k

Countries citing papers authored by Gina C. Adam

Since Specialization

Citations

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

Fields of papers citing papers by Gina C. Adam

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gina C. Adam. 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 Gina C. Adam. The network helps show where Gina C. Adam may publish in the future.

Co-authorship network of co-authors of Gina C. Adam

This figure shows the co-authorship network connecting the top 25 collaborators of Gina C. Adam. A scholar is included among the top collaborators of Gina C. Adam 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 Gina C. Adam. Gina C. Adam 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

Hoskins, Brian D., William A. Borders, Advait Madhavan, et al.. (2025). Layer ensemble averaging for fault tolerance in memristive neural networks. Nature Communications. 16(1). 1250–1250. 4 indexed citations

Najmaei, Sina, et al.. (2025). Robust Hardware-Aware Neural Networks for FeFET-Based Accelerators. IEEE Transactions on Nanotechnology. 24. 189–200.

Adam, Gina C., A. Zaslavsky, William R. Patterson, et al.. (2024). Unlocking Circuits for Quantum With Open Source Silicon: A first look at measured open source silicon results at 4 K. IEEE Solid-State Circuits Magazine. 16(2). 39–48.

Milman, Natalie B., et al.. (2024). Using Virtual Reality Cleanroom Simulation in a Mixed Nanoelectronics Classroom.

Adam, Gina C., et al.. (2024). Formation and retrieval of cell assemblies in a biologically realistic spiking neural network model of area CA3 in the mouse hippocampus. Journal of Computational Neuroscience. 52(4). 303–321. 1 indexed citations

Zhang, Lei, et al.. (2023). Explainable Learning-Based Intrusion Detection Supported by Memristors. 195–196. 4 indexed citations

Anders, Mark, et al.. (2022). Data-driven RRAM device models using Kriging interpolation. Scientific Reports. 12(1). 5963–5963. 12 indexed citations

Hoskins, Brian D., et al.. (2021). Gradient Decomposition Methods for Training Neural Networks With Non-ideal Synaptic Devices. Frontiers in Neuroscience. 15. 749811–749811. 5 indexed citations

Wainstein, Nicolás, Gina C. Adam, Eilam Yalon, & Shahar Kvatinsky. (2020). Radiofrequency Switches Based on Emerging Resistive Memory Technologies - A Survey. Proceedings of the IEEE. 109(1). 77–95. 39 indexed citations

10.

Kim, Jeeson, Hussein Nili, Gina C. Adam, et al.. (2018). Predictive Analysis of 3D ReRAM-Based PUF for Securing the Internet of Things. 1. 91–94. 4 indexed citations

11.

Adam, Gina C., Ali Khiat, & Themis Prodromakis. (2018). Challenges hindering memristive neuromorphic hardware from going mainstream. Nature Communications. 9(1). 5267–5267. 101 indexed citations

12.

Adam, Gina C., Danielle B. Harlow, Susan Lord, & Christian Kautz. (2017). Conceptual understanding of the P-N diode among undergraduate electrical engineering students. International journal of engineering education. 33(1). 261–271. 3 indexed citations

13.

Hoskins, Brian D., Gina C. Adam, Evgheni Strelcov, et al.. (2017). Stateful characterization of resistive switching TiO2 with electron beam induced currents. Nature Communications. 8(1). 1972–1972. 35 indexed citations

14.

Müller, A., George Konstantinidis, Gina C. Adam, et al.. (2017). GaN Membrane Supported SAW Pressure Sensors With Embedded Temperature Sensing Capability. IEEE Sensors Journal. 17(22). 7383–7393. 38 indexed citations

15.

Adam, Gina C., et al.. (2016). Misconceptions in Rolling Dynamics: A Case Study of an Inquiry-based Learning Activity. 2 indexed citations

16.

Adam, Gina C., Brian D. Hoskins, M. Prezioso, et al.. (2016). Highly-uniform multi-layer ReRAM crossbar circuits. 436–439. 6 indexed citations

17.

Prezioso, M., Yi Zhong, Farshad Merrikh‐Bayat, et al.. (2016). Spiking neuromorphic networks with metal-oxide memristors. 177–180. 17 indexed citations

18.

Adam, Gina C., Danielle B. Harlow, Susan Lord, & Christian Kautz. (2016). Micro- and Macroscale Ideas of Current Among Upper-Division Electrical Engineering Students. IEEE Transactions on Education. 60(3). 183–190. 3 indexed citations

19.

Prezioso, M., Farshad Merrikh‐Bayat, Brian D. Hoskins, et al.. (2015). Training and operation of an integrated neuromorphic network based on metal-oxide memristors. Nature. 521(7550). 61–64. 2292 indexed citations breakdown →

20.

Prezioso, M., Irina Kataeva, Farshad Merrikh‐Bayat, et al.. (2015). Modeling and implementation of firing-rate neuromorphic-network classifiers with bilayer Pt/Al2O3/TiO2−x/Pt Memristors. 17.4.1–17.4.4. 43 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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