Themis Prodromakis

8.3k total citations · 1 hit paper
228 papers, 6.0k citations indexed

About

Themis Prodromakis is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Themis Prodromakis has authored 228 papers receiving a total of 6.0k indexed citations (citations by other indexed papers that have themselves been cited), including 188 papers in Electrical and Electronic Engineering, 108 papers in Cellular and Molecular Neuroscience and 45 papers in Cognitive Neuroscience. Recurrent topics in Themis Prodromakis's work include Advanced Memory and Neural Computing (155 papers), Neuroscience and Neural Engineering (97 papers) and Ferroelectric and Negative Capacitance Devices (72 papers). Themis Prodromakis is often cited by papers focused on Advanced Memory and Neural Computing (155 papers), Neuroscience and Neural Engineering (97 papers) and Ferroelectric and Negative Capacitance Devices (72 papers). Themis Prodromakis collaborates with scholars based in United Kingdom, Italy and United States. Themis Prodromakis's co-authors include Ali Khiat, Alexander Serb, Christos Papavassiliou, C. Toumazou, Giacomo Indiveri, B. Linares-Barranco, Robert Legenstein, Radu Berdan, Spyros Stathopoulos and G. Deligeorgis and has published in prestigious journals such as Advanced Materials, Nature Communications and Nature Materials.

In The Last Decade

Themis Prodromakis

210 papers receiving 5.9k 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.

Integration of nanoscale memristor synapses in neuromorphic computing architectures

2013 464 citations Themis Prodromakis et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Themis Prodromakis United Kingdom	39	5.0k	2.6k	1.2k	801	726	228	6.0k
Hao Jiang United States	31	8.4k 1.7×	3.7k 1.4×	1.4k 1.2×	767 1.0×	1.3k 1.8×	67	9.2k
Bai Sun China	48	6.0k 1.2×	2.5k 1.0×	432 0.4×	582 0.7×	2.2k 3.0×	277	7.3k
Yoeri van de Burgt Netherlands	23	3.8k 0.8×	1.7k 0.6×	360 0.3×	1.0k 1.3×	1.9k 2.6×	43	4.6k
Guangdong Zhou China	43	4.5k 0.9×	1.9k 0.7×	447 0.4×	651 0.8×	1.7k 2.4×	157	5.3k
Yuchao Yang China	49	9.6k 1.9×	3.8k 1.4×	1.4k 1.2×	785 1.0×	2.3k 3.1×	201	10.9k
Xiaobing Yan China	44	5.9k 1.2×	2.4k 0.9×	419 0.4×	788 1.0×	1.5k 2.0×	196	7.2k
Xumeng Zhang China	34	4.6k 0.9×	1.9k 0.7×	1.1k 0.9×	347 0.4×	761 1.0×	105	4.9k
Jinfeng Kang China	45	9.1k 1.8×	2.7k 1.0×	628 0.5×	462 0.6×	1.7k 2.4×	331	9.8k
Carlo Ricciardi Italy	29	2.3k 0.5×	637 0.2×	383 0.3×	763 1.0×	452 0.6×	138	3.2k
Hyunsang Hwang South Korea	57	13.4k 2.7×	4.0k 1.5×	1.2k 1.0×	548 0.7×	2.7k 3.7×	424	14.3k

Countries citing papers authored by Themis Prodromakis

Since Specialization

Citations

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

Fields of papers citing papers by Themis Prodromakis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Themis Prodromakis

This figure shows the co-authorship network connecting the top 25 collaborators of Themis Prodromakis. A scholar is included among the top collaborators of Themis Prodromakis 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 Themis Prodromakis. Themis Prodromakis 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

Acharyya, Amit, et al.. (2025). Design Methodologies for Skyrmion-Based Circuits and Systems in AI-Driven Applications: Bi-Directional Integration [Feature]. IEEE Circuits and Systems Magazine. 25(3). 30–55.

Kumar, Sanjay, et al.. (2025). Electrical Analysis of Atomic Layer Deposited Thin HfO₂ and HfO₂/Ta₂O₅-Based Memristive Devices. IEEE Transactions on Electron Devices. 72(4). 1780–1787. 4 indexed citations

Gordon, Leo W., Robert J. Messinger, Themis Prodromakis, et al.. (2024). Solid Polymer Electrolytes with Enhanced Electrochemical Stability for High‐Capacity Aluminum Batteries. Advanced Energy Materials. 14(8). 11 indexed citations

Wang, Shiwei, et al.. (2024). Design of a low-power Digital-to-Pulse Converter (DPC) for in-memory-computing applications. Microelectronics Journal. 153. 106420–106420. 1 indexed citations

Halak, Basel, et al.. (2023). A memristor fingerprinting and characterisation methodology for hardware security. Scientific Reports. 13(1). 9392–9392. 6 indexed citations

Tzouvadaki, Ioulia & Themis Prodromakis. (2023). Large-scale nano-biosensing technologies. Frontiers in Nanotechnology. 5. 6 indexed citations

Serb, Alexander, et al.. (2023). Text classification in memristor-based spiking neural networks. SHILAP Revista de lepidopterología. 3(1). 14003–14003. 15 indexed citations

Prodromakis, Themis, et al.. (2023). Bent-Pyramid: Towards A Quasi-Stochastic Data Representation for AI Hardware. 1–5.

Serb, Alexander, et al.. (2023). Automated RRAM measurements using a semi-automated probe station and ArC ONE interface. 1–4. 1 indexed citations

10.

Prodromakis, Themis, et al.. (2023). Digital in-memory stochastic computing architecture for vector-matrix multiplication. Frontiers in Nanotechnology. 5. 2 indexed citations

11.

Yuan, Peisen, Julianna Panidi, Dimitra G. Georgiadou, et al.. (2022). Electron Transporting Perylene Diimide-Based Random Terpolymers with Variable Co-Monomer Feed Ratio: A Route to All-Polymer-Based Photodiodes. Macromolecules. 55(2). 672–683. 7 indexed citations

12.

Simanjuntak, Firman Mangasa, et al.. (2022). Formation of a ternary oxide barrier layer and its role in switching characteristic of ZnO-based conductive bridge random access memory devices. APL Materials. 10(3). 3 indexed citations

13.

Yuan, Peisen, Λουκάς Κουτσοκέρας, Stavros Athanasopoulos, et al.. (2022). Low-power supralinear photocurrent generation via excited state fusion in single-component nanostructured organic photodetectors. Journal of Materials Chemistry C. 10(19). 7575–7585. 5 indexed citations

14.

Simanjuntak, Firman Mangasa, et al.. (2021). Conduction channel configuration controlled digital and analog response in TiO2-based inorganic memristive artificial synapses. APL Materials. 9(12). 7 indexed citations

15.

Simanjuntak, Firman Mangasa, et al.. (2021). Transformation of digital to analog switching in TaOx-based memristor device for neuromorphic applications. Applied Physics Letters. 118(11). 51 indexed citations

16.

Simanjuntak, Firman Mangasa, et al.. (2021). Negative effect of cations out-diffusion and auto-doping on switching mechanisms of transparent memristor devices employing ZnO/ITO heterostructure. Applied Physics Letters. 118(17). 15 indexed citations

17.

Sanzari, Ilaria, Elena Buratti, Ruomeng Huang, et al.. (2020). Poly(N-isopropylacrylamide) based thin microgel films for use in cell culture applications. Scientific Reports. 10(1). 6126–6126. 82 indexed citations

18.

Stathopoulos, Spyros, Alexander Serb, Ali Khiat, Maciej Ogorzałek, & Themis Prodromakis. (2019). A Memristive Switching Uncertainty Model. IEEE Transactions on Electron Devices. 66(7). 2946–2953. 12 indexed citations

19.

Trantidou, Tatiana, Eleanor J. Humphrey, Claire Poulet, et al.. (2016). Surface Chemistry and Microtopography of Parylene C Films Control the Morphology and Microtubule Density of Cardiac Myocytes. Tissue Engineering Part C Methods. 22(5). 464–472. 11 indexed citations

20.

Marei, Isra, et al.. (2015). Assessment of Parylene C Thin Films for Heart Valve Tissue Engineering. Tissue Engineering Part A. 21(19-20). 2504–2514. 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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