Tamás Pajkossy

5.5k total citations · 1 hit paper
77 papers, 4.7k citations indexed

About

Tamás Pajkossy is a scholar working on Electrochemistry, Electrical and Electronic Engineering and Bioengineering. According to data from OpenAlex, Tamás Pajkossy has authored 77 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Electrochemistry, 31 papers in Electrical and Electronic Engineering and 27 papers in Bioengineering. Recurrent topics in Tamás Pajkossy's work include Electrochemical Analysis and Applications (57 papers), Analytical Chemistry and Sensors (27 papers) and Conducting polymers and applications (15 papers). Tamás Pajkossy is often cited by papers focused on Electrochemical Analysis and Applications (57 papers), Analytical Chemistry and Sensors (27 papers) and Conducting polymers and applications (15 papers). Tamás Pajkossy collaborates with scholars based in Hungary, Germany and United States. Tamás Pajkossy's co-authors include Lajos Nyikos, Zsolt Kerner, D.M. Kolb, Dieter M. Kolb, Thomas Wandlowski, Rafał Jurczakowski, J.H. Sluyters, Willem H. Mulder, Attila R. Imre and Ludwig A. Kibler and has published in prestigious journals such as SHILAP Revista de lepidopterología, Physical review. B, Condensed matter and Journal of The Electrochemical Society.

In The Last Decade

Tamás Pajkossy

76 papers receiving 4.6k citations

Hit Papers

Impedance of rough capacitive electrodes 1994 2026 2004 2015 1994 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tamás Pajkossy Hungary 34 2.2k 1.9k 1.5k 884 694 77 4.7k
E. Gileadi Israel 45 2.8k 1.3× 4.1k 2.1× 1.8k 1.2× 708 0.8× 1.8k 2.6× 194 6.9k
M. Sluyters‐Rehbach Netherlands 32 3.1k 1.4× 2.9k 1.5× 2.6k 1.7× 714 0.8× 838 1.2× 163 6.5k
J.H. Sluyters Netherlands 35 3.7k 1.6× 3.2k 1.6× 2.9k 1.9× 840 1.0× 948 1.4× 197 7.6k
David A. Harrington Canada 34 1.4k 0.6× 2.7k 1.4× 1.3k 0.9× 309 0.3× 2.4k 3.5× 111 4.4k
M.W. Bréiter United States 35 1.9k 0.8× 2.0k 1.0× 1.5k 1.0× 450 0.5× 1.5k 2.1× 188 4.0k
R.D. Armstrong United Kingdom 29 981 0.4× 2.0k 1.0× 1.8k 1.2× 819 0.9× 295 0.4× 87 4.2k
W. Plieth Germany 30 1.0k 0.5× 1.6k 0.8× 1.2k 0.8× 819 0.9× 505 0.7× 130 3.2k
Rama Kant India 34 1.3k 0.6× 1.1k 0.5× 579 0.4× 1.2k 1.4× 261 0.4× 112 2.9k
Şefik Süzer Türkiye 36 300 0.1× 1.6k 0.8× 1.6k 1.1× 748 0.8× 486 0.7× 182 4.5k
Guang Feng China 49 1.4k 0.6× 4.5k 2.3× 2.1k 1.4× 1.4k 1.6× 1.5k 2.1× 172 8.3k

Countries citing papers authored by Tamás Pajkossy

Since Specialization
Citations

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

Fields of papers citing papers by Tamás Pajkossy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tamás Pajkossy

This figure shows the co-authorship network connecting the top 25 collaborators of Tamás Pajkossy. A scholar is included among the top collaborators of Tamás Pajkossy 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 Tamás Pajkossy. Tamás Pajkossy 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.
2.
Pajkossy, Tamás. (2020). Analysis of adsorption-related voltammograms: Transformation to potential-program invariant form. Electrochemistry Communications. 118. 106810–106810. 8 indexed citations
3.
Felhősi, Ilona, Zsófia Keresztes, T. Marek, & Tamás Pajkossy. (2019). Properties of electrochemical double-layer capacitors with carbon-nanotubes-on-carbon-fiber-felt electrodes. Electrochimica Acta. 334. 135548–135548. 23 indexed citations
4.
Pajkossy, Tamás, et al.. (2018). The metal–ionic liquid interface as characterized by impedance spectroscopy andin situscanning tunneling microscopy. Physical Chemistry Chemical Physics. 20(33). 21241–21250. 30 indexed citations
5.
Fekete, Éva, B. Lengyel, Tamás Cserfalvi, & Tamás Pajkossy. (2016). Electrocoagulation: an electrochemical process for water clarification. Journal of Electrochemical Science and Engineering. 6(1). 57–65. 15 indexed citations
6.
Bakos, I., S. Szabó, & Tamás Pajkossy. (2011). Deposition of platinum monolayers on gold. Journal of Solid State Electrochemistry. 15(11-12). 2453–2459. 17 indexed citations
7.
Pajkossy, Tamás, et al.. (2011). The interface between Au(100) and 1-butyl-3-methyl-imidazolium-hexafluorophosphate. Physical Chemistry Chemical Physics. 13(24). 11627–11627. 64 indexed citations
8.
Pajkossy, Tamás, et al.. (2009). The interface between Au(111) and an ionic liquid. Electrochimica Acta. 55(21). 6212–6217. 133 indexed citations
9.
Pajkossy, Tamás & D.M. Kolb. (2007). Double layer capacitance of the platinum group metals in the double layer region. Electrochemistry Communications. 9(5). 1171–1174. 47 indexed citations
10.
Pajkossy, Tamás, Ludwig A. Kibler, & D.M. Kolb. (2005). Voltammetry and impedance measurements of Ir(111) electrodes in aqueous solutions. Journal of Electroanalytical Chemistry. 582(1-2). 69–75. 38 indexed citations
11.
Pajkossy, Tamás. (2003). Voltammetry and Impedance of Pt(111) Electrodes in Aqueous KClO4 Solutions. Zeitschrift für Physikalische Chemie. 217(4). 351–364. 7 indexed citations
12.
Pajkossy, Tamás, Thomas Wandlowski, & Dieter M. Kolb. (1996). Impedance aspects of anion adsorption on gold single crystal electrodes. Journal of Electroanalytical Chemistry. 414(2). 209–220. 111 indexed citations
13.
Pajkossy, Tamás. (1994). Method-independent representation of polarographic and voltammetric measurement results of reversible redox couples. Journal of Electroanalytical Chemistry. 364(1-2). 229–234. 14 indexed citations
14.
Imre, Attila R., Tamás Pajkossy, & Lajos Nyikos. (1992). Electrochemical determination of the fractal dimension of fractured surfaces. Acta Metallurgica et Materialia. 40(8). 1819–1826. 80 indexed citations
15.
Pajkossy, Tamás & Lajos Nyikos. (1992). Electrochemistry at fractal interfaces. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 2360–2361. 1 indexed citations
16.
Nyikos, Lajos, et al.. (1990). Diffusion to fractal surfaces—IV. The case of the rotating disc electrode of fractal surface. Electrochimica Acta. 35(9). 1423–1424. 19 indexed citations
17.
Pajkossy, Tamás & Lajos Nyikos. (1990). Scaling-law analysis to describe the impedance behavior of fractal electrodes. Physical review. B, Condensed matter. 42(1). 709–719. 68 indexed citations
18.
Nyikos, Lajos, et al.. (1990). Search for neutrons from cold nuclear fusion. Journal of Radioanalytical and Nuclear Chemistry. 145(5). 327–337. 1 indexed citations
19.
Pajkossy, Tamás & Lajos Nyikos. (1988). Comments on J. C. Wang's paper on the impedance of a fractal electrolyte—electrode interface. Electrochimica Acta. 33(5). 713–715. 15 indexed citations
20.
Pajkossy, Tamás. (1983). Mechanism of Hole Injection on Ferric Oxide Photoelectrodes. Journal of The Electrochemical Society. 130(3). 632–635. 9 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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