Vesselin Tonchev

741 total citations
34 papers, 562 citations indexed

About

Vesselin Tonchev is a scholar working on Materials Chemistry, Atomic and Molecular Physics, and Optics and Atmospheric Science. According to data from OpenAlex, Vesselin Tonchev has authored 34 papers receiving a total of 562 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Materials Chemistry, 11 papers in Atomic and Molecular Physics, and Optics and 10 papers in Atmospheric Science. Recurrent topics in Vesselin Tonchev's work include nanoparticles nucleation surface interactions (9 papers), Crystallization and Solubility Studies (8 papers) and Theoretical and Computational Physics (8 papers). Vesselin Tonchev is often cited by papers focused on nanoparticles nucleation surface interactions (9 papers), Crystallization and Solubility Studies (8 papers) and Theoretical and Computational Physics (8 papers). Vesselin Tonchev collaborates with scholars based in Bulgaria, Japan and Poland. Vesselin Tonchev's co-authors include S. Stoyanov, Alberto Pimpinelli, Christo N. Nanev, Norihiko Yokoi, Georgi Georgiev, Magdalena A. Załuska–Kotur, M. Vladimirova, Arnaud Videcoq, Joachim Krug and Rumen Krastev and has published in prestigious journals such as Physical Review Letters, Physical review. B, Condensed matter and Journal of Applied Physics.

In The Last Decade

Vesselin Tonchev

34 papers receiving 546 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vesselin Tonchev Bulgaria 15 218 158 148 129 120 34 562
Ștefan Andrei Irimiciuc Romania 15 169 0.8× 82 0.5× 25 0.2× 22 0.2× 104 0.9× 74 584
F. Mertens Germany 16 181 0.8× 323 2.0× 141 1.0× 66 0.5× 64 0.5× 19 669
Е. И. Демихов Russia 14 193 0.9× 169 1.1× 118 0.8× 4 0.0× 63 0.5× 71 610
T. Rasmussen Denmark 19 370 1.7× 378 2.4× 19 0.1× 52 0.4× 401 3.3× 48 974
Yves Hennequin United Kingdom 10 205 0.9× 103 0.7× 44 0.3× 23 0.2× 120 1.0× 12 534
E. Machado Austria 13 318 1.5× 166 1.1× 206 1.4× 11 0.1× 174 1.4× 40 620
Michael te Vrugt Germany 10 138 0.6× 48 0.3× 148 1.0× 27 0.2× 17 0.1× 22 351
Yuri Martı́nez-Ratón Spain 17 574 2.6× 78 0.5× 232 1.6× 12 0.1× 16 0.1× 52 746
Mohamed Daoud France 12 252 1.2× 58 0.4× 98 0.7× 7 0.1× 25 0.2× 22 585
Ryan B. Jadrich United States 15 424 1.9× 49 0.3× 72 0.5× 17 0.1× 34 0.3× 36 585

Countries citing papers authored by Vesselin Tonchev

Since Specialization
Citations

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

Fields of papers citing papers by Vesselin Tonchev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vesselin Tonchev

This figure shows the co-authorship network connecting the top 25 collaborators of Vesselin Tonchev. A scholar is included among the top collaborators of Vesselin Tonchev 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 Vesselin Tonchev. Vesselin Tonchev 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.
Tonchev, Vesselin, et al.. (2023). Cloud condensation nuclei and backward trajectories of air masses at Mt. Moussala in two months of 2016. Journal of Atmospheric and Solar-Terrestrial Physics. 243. 106004–106004. 1 indexed citations
2.
Załuska–Kotur, Magdalena A., et al.. (2021). Step Bunches, Nanowires and Other Vicinal “Creatures”—Ehrlich–Schwoebel Effect by Cellular Automata. Crystals. 11(9). 1135–1135. 16 indexed citations
3.
Załuska–Kotur, Magdalena A., et al.. (2020). Quantifying the Effect of Step–Step Exclusion on Dynamically Unstable Vicinal Surfaces: Step Bunching without Macrostep Formation. Crystal Growth & Design. 20(11). 7246–7259. 9 indexed citations
4.
Załuska–Kotur, Magdalena A., et al.. (2018). Scaling and Dynamic Stability of Model Vicinal Surfaces. Crystal Growth & Design. 19(2). 821–831. 11 indexed citations
5.
Coileáin, Cormac Ó, Sergey A. Krasnikov, S. I. Bozhko, et al.. (2018). Step bunching with both directions of the current: Vicinal W(110) surfaces versus atomistic-scale model. Physical review. B.. 97(3). 14 indexed citations
6.
7.
Georgiev, Georgi, et al.. (2016). Surface chemistry of the interactions of cationic nanoemulsions with human meibum films. Investigative Ophthalmology & Visual Science. 57(12). 6188–6188. 2 indexed citations
8.
Rashkov, R., et al.. (2016). Electrodeposition of Ni–Cu alloys at high current densities: details of the elements distribution. Journal of Materials Science. 51(18). 8663–8673. 27 indexed citations
9.
Załuska–Kotur, Magdalena A., et al.. (2016). Step bunching and macrostep formation in 1D atomistic scale model of unstable vicinal crystal growth. Journal of Crystal Growth. 474. 135–139. 13 indexed citations
10.
Eftimov, Petar, et al.. (2016). Surface properties and exponential stress relaxations of mammalian meibum films. European Biophysics Journal. 46(2). 129–140. 13 indexed citations
11.
Załuska–Kotur, Magdalena A., et al.. (2016). Unstable vicinal crystal growth from cellular automata. AIP conference proceedings. 1722. 220014–220014. 9 indexed citations
12.
Tonchev, Vesselin & Christo N. Nanev. (2013). Growth and dissolution of equally‐sized insulin crystals. Crystal Research and Technology. 48(11). 1003–1010. 2 indexed citations
13.
Ranguelov, Bogdan, et al.. (2012). Diffusion Limited Aggregation with modified local rules. 65(7). 913–918. 4 indexed citations
14.
Tonchev, Vesselin, Bogdan Ranguelov, Hiroo Omi, & Alberto Pimpinelli. (2010). Scaling and universality in models of step bunching: the “C+–C-” model. The European Physical Journal B. 73(4). 539–546. 14 indexed citations
15.
Ranguelov, Bogdan, Vesselin Tonchev, Hiroo Omi, & Alberto Pimpinelli. (2007). New universality class for step bunching in the "C+ - C-" model. ArXiv.org. 60(4). 389–394. 1 indexed citations
16.
Omi, Hiroo, Yoshikazu Homma, Vesselin Tonchev, & Alberto Pimpinelli. (2005). New Types of Unstable Step-Flow Growth onSi(111)(7×7)during Molecular Beam Epitaxy: Scaling and Universality. Physical Review Letters. 95(21). 216101–216101. 20 indexed citations
17.
Omi, Hiroo, Yoshikazu Homma, T. Ogino, S. Stoyanov, & Vesselin Tonchev. (2003). Design of atomic step networks on Si(111) through strain distribution control. Journal of Applied Physics. 95(1). 263–266. 2 indexed citations
18.
Pimpinelli, Alberto, Vesselin Tonchev, Arnaud Videcoq, & M. Vladimirova. (2002). Scaling and Universality of Self-Organized Patterns on Unstable Vicinal Surfaces. Physical Review Letters. 88(20). 206103–206103. 53 indexed citations
19.
Stoyanov, S., J.J. Métois, & Vesselin Tonchev. (2000). Current induced bunches of steps on the Si(111) surface – a key to measuring the temperature dependence of the step interaction coefficient. Surface Science. 465(3). 227–242. 20 indexed citations
20.
Starbova, K., et al.. (1992). Formation of ordered structures in the thin-film amorphous carbon/silicate glass system. The Journal of Physical Chemistry. 96(24). 9964–9967. 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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