D. Tsoukalas

4.6k total citations
184 papers, 3.7k citations indexed

About

D. Tsoukalas is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Materials Chemistry. According to data from OpenAlex, D. Tsoukalas has authored 184 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 163 papers in Electrical and Electronic Engineering, 57 papers in Biomedical Engineering and 47 papers in Materials Chemistry. Recurrent topics in D. Tsoukalas's work include Semiconductor materials and devices (73 papers), Advanced Memory and Neural Computing (42 papers) and Silicon and Solar Cell Technologies (35 papers). D. Tsoukalas is often cited by papers focused on Semiconductor materials and devices (73 papers), Advanced Memory and Neural Computing (42 papers) and Silicon and Solar Cell Technologies (35 papers). D. Tsoukalas collaborates with scholars based in Greece, France and United Kingdom. D. Tsoukalas's co-authors include P. Normand, Evangelos Skotadis, Panagiotis Bousoulas, C. Tsamis, S. Chatzandroulis, Panagiotis Dimitrakis, Y. S. Raptis, A. Claverie, Marianthi Panagopoulou and E. Kapetanakis and has published in prestigious journals such as Nano Letters, Applied Physics Letters and Journal of Applied Physics.

In The Last Decade

D. Tsoukalas

178 papers receiving 3.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D. Tsoukalas Greece 34 2.8k 1.2k 1.1k 688 519 184 3.7k
Luca Boarino Italy 31 2.0k 0.7× 1.6k 1.3× 1.2k 1.2× 276 0.4× 623 1.2× 187 3.5k
Sung‐Jin Choi South Korea 36 4.5k 1.6× 1.3k 1.1× 2.2k 2.1× 624 0.9× 364 0.7× 266 6.0k
Seong Jun Kang South Korea 27 3.2k 1.2× 2.5k 2.1× 2.2k 2.1× 678 1.0× 553 1.1× 137 5.0k
Fabio Cicoira Canada 40 2.8k 1.0× 1.0k 0.8× 2.0k 1.9× 2.4k 3.4× 335 0.6× 124 5.3k
Takafumi Uemura Japan 35 3.2k 1.2× 885 0.7× 1.4k 1.3× 1.2k 1.8× 339 0.7× 127 4.4k
Inho Kim South Korea 32 2.0k 0.7× 803 0.7× 818 0.8× 404 0.6× 204 0.4× 177 2.9k
Tapani Ryhänen Finland 21 2.2k 0.8× 952 0.8× 1.2k 1.1× 596 0.9× 617 1.2× 46 3.2k
Dae Hwan Kim South Korea 36 4.8k 1.8× 2.2k 1.8× 945 0.9× 1000 1.5× 378 0.7× 334 5.5k
Alex Belianinov United States 33 1.6k 0.6× 2.4k 1.9× 814 0.8× 371 0.5× 606 1.2× 103 3.7k
Weidong Zhou United States 37 3.6k 1.3× 1.1k 0.9× 2.7k 2.6× 501 0.7× 1.9k 3.7× 237 5.8k

Countries citing papers authored by D. Tsoukalas

Since Specialization
Citations

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

Fields of papers citing papers by D. Tsoukalas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. Tsoukalas

This figure shows the co-authorship network connecting the top 25 collaborators of D. Tsoukalas. A scholar is included among the top collaborators of D. Tsoukalas 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 D. Tsoukalas. D. Tsoukalas 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.
Fyrigos, Iosif-Angelos, et al.. (2022). Chemically-inspired Memristor-based Neuron-like Oscillating Circuit. 1–6. 5 indexed citations
2.
Bousoulas, Panagiotis, et al.. (2020). Investigating the origins of ultra-short relaxation times of silver filaments in forming-free SiO 2 -based conductive bridge memristors. Nanotechnology. 31(45). 454002–454002. 50 indexed citations
3.
Skotadis, Evangelos, et al.. (2020). A sensing approach for automated and real-time pesticide detection in the scope of smart-farming. Computers and Electronics in Agriculture. 178. 105759–105759. 26 indexed citations
4.
Bousoulas, Panagiotis, et al.. (2020). Enhancing the synaptic properties of low-power and forming-free HfOx/TaOy/HfOx resistive switching devices. Microelectronic Engineering. 229. 111358–111358. 24 indexed citations
5.
Panagopoulou, Marianthi, Dimitra Vernardou, E. Koudoumas, D. Tsoukalas, & Y. S. Raptis. (2017). Oxygen and temperature effects on the electrochemical and electrochromic properties of rf-sputtered V2O5 thin films. Electrochimica Acta. 232. 54–63. 40 indexed citations
6.
Bousoulas, Panagiotis, et al.. (2016). Engineering amorphous-crystalline interfaces in TiO2−x/TiO2−y-based bilayer structures for enhanced resistive switching and synaptic properties. Journal of Applied Physics. 120(15). 49 indexed citations
7.
Dimitrakis, Panagiotis, P. Normand, & D. Tsoukalas. (2016). Silicon Nanocrystal Memories. 373–410.
8.
Guo, Hao, Jun Tang, Kun Qian, et al.. (2016). Vectorial strain gauge method using single flexible orthogonal polydimethylsiloxane gratings. Scientific Reports. 6(1). 23606–23606. 22 indexed citations
9.
Verrelli, E. & D. Tsoukalas. (2014). Cluster beam synthesis of metal and metal-oxide nanoparticles for emerging memories. Solid-State Electronics. 101. 95–105. 11 indexed citations
10.
Skotadis, Evangelos, et al.. (2013). Flexible platinum nanoparticle strain sensors. 5. 354–357. 2 indexed citations
11.
Verrelli, E., et al.. (2013). Nickel nanoparticle size and density effects on non-volatile memory performance. Journal of Vacuum Science & Technology B Nanotechnology and Microelectronics Materials Processing Measurement and Phenomena. 31(3). 4 indexed citations
12.
Verrelli, E., D. Tsoukalas, & D.N. Kouvatsos. (2008). Deposition and electrical characterization of hafnium oxide films on silicon. Physica status solidi. C, Conferences and critical reviews/Physica status solidi. C, Current topics in solid state physics. 5(12). 3720–3723. 9 indexed citations
13.
Tsoukalas, D.. (2008). Metallic nanoparticles for application in electronic non-volatile memories. International Journal of Nanotechnology. 6(1/2). 35–35. 9 indexed citations
14.
Misra, Nipun, et al.. (2008). Non-melt laser annealing of Plasma Implanted Boron for ultra shallow junctions in Silicon. Materials Science and Engineering B. 154-155. 39–42. 15 indexed citations
15.
Tsouti, V., Christos Boutopoulos, P. Andreakou, et al.. (2008). Detection of the biotin–streptavidin interaction by exploiting surface stress changes on ultrathin Si membranes. Microelectronic Engineering. 86(4-6). 1495–1498. 17 indexed citations
16.
Larsen, A. Nylandsted, A. Kanjilal, J. Lundsgaard Hansen, et al.. (2003). GERMANIUM QUANTUM DOTS IN SIO2: FABRICATION AND CHARACTERIZATION. 439–446.
17.
Goustouridis, D., et al.. (2003). Low temperature wafer bonding for thin silicon film transfer. Sensors and Actuators A Physical. 110(1-3). 401–406. 15 indexed citations
18.
Gaiseanu, Florin, D. Dascǎlu, J. Estéve, et al.. (2002). Stress control for process optimization of the capacitive pressure sensors for biomedical applications achieved by surface micromachining technology. DSpace - NTUA (National Technical University of Athens). 1. 71–74. 2 indexed citations
19.
Tsamis, C. & D. Tsoukalas. (1998). Model for the recombination velocity of silicon interstitials at nonoxidizing interfaces. Journal of Applied Physics. 84(12). 6650–6658. 4 indexed citations
20.
Tsoukalas, D., et al.. (1987). Boron diffusion in silicon in inert and oxidizing ambient and extrinsic conditions. physica status solidi (a). 100(2). 461–465. 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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