Elka S. Basheva

33 total papers · 1.5k total citations
27 papers, 1.2k citations indexed

About

Elka S. Basheva is a scholar working on Materials Chemistry, Organic Chemistry and Food Science. According to data from OpenAlex, Elka S. Basheva has authored 27 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Materials Chemistry, 15 papers in Organic Chemistry and 7 papers in Food Science. Recurrent topics in Elka S. Basheva's work include Pickering emulsions and particle stabilization (16 papers), Surfactants and Colloidal Systems (15 papers) and Proteins in Food Systems (7 papers). Elka S. Basheva is often cited by papers focused on Pickering emulsions and particle stabilization (16 papers), Surfactants and Colloidal Systems (15 papers) and Proteins in Food Systems (7 papers). Elka S. Basheva collaborates with scholars based in Bulgaria, United States and Netherlands. Elka S. Basheva's co-authors include Peter A. Kralchevsky, Krassimir D. Danov, K. P. Ananthapadmanabhan, Bruce Campbell, K. Marinova, Ivan Ivanov, Simeon D. Stoyanov, A. Lips, Nikolai D. Denkov and Amir Y. Mirarefi and has published in prestigious journals such as Langmuir, Journal of Colloid and Interface Science and Physical Chemistry Chemical Physics.

In The Last Decade

Elka S. Basheva

27 papers receiving 1.2k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Elka S. Basheva 560 462 367 213 174 27 1.2k
Theodor D. Gurkov 593 1.1× 548 1.2× 434 1.2× 155 0.7× 269 1.5× 43 1.4k
Joanna Giermańska 816 1.5× 600 1.3× 467 1.3× 103 0.5× 141 0.8× 35 1.2k
Alain Cagna 527 0.9× 496 1.1× 443 1.2× 343 1.6× 132 0.8× 26 1.4k
Peter R. Garrett 626 1.1× 864 1.9× 170 0.5× 279 1.3× 168 1.0× 45 1.4k
Georgi Gochev 387 0.7× 299 0.6× 437 1.2× 80 0.4× 126 0.7× 39 916
Luben N. Arnaudov 535 1.0× 270 0.6× 541 1.5× 120 0.6× 154 0.9× 33 1.4k
Philip Taylor 592 1.1× 684 1.5× 373 1.0× 74 0.3× 201 1.2× 36 1.5k
G. Kretzschmar 288 0.5× 541 1.2× 136 0.4× 79 0.4× 144 0.8× 58 934
Juan Carlos Fernández-Toledano 539 1.0× 288 0.6× 209 0.6× 91 0.4× 191 1.1× 22 972
Aaron P. R. Eberle 589 1.1× 286 0.6× 138 0.4× 150 0.7× 208 1.2× 28 1.4k

Countries citing papers authored by Elka S. Basheva

Since Specialization
Citations

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

Fields of papers citing papers by Elka S. Basheva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Elka S. Basheva. 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 Elka S. Basheva. The network helps show where Elka S. Basheva may publish in the future.

Co-authorship network of co-authors of Elka S. Basheva

This figure shows the co-authorship network connecting the top 25 collaborators of Elka S. Basheva. A scholar is included among the top collaborators of Elka S. Basheva 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 Elka S. Basheva. Elka S. Basheva is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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