Ivanka Dakova

39 total papers · 621 total citations
29 papers, 528 citations indexed

About

Ivanka Dakova is a scholar working on Analytical Chemistry, Electrochemistry and Inorganic Chemistry. According to data from OpenAlex, Ivanka Dakova has authored 29 papers receiving a total of 528 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Analytical Chemistry, 16 papers in Electrochemistry and 7 papers in Inorganic Chemistry. Recurrent topics in Ivanka Dakova's work include Analytical chemistry methods development (24 papers), Electrochemical Analysis and Applications (16 papers) and Radioactive element chemistry and processing (7 papers). Ivanka Dakova is often cited by papers focused on Analytical chemistry methods development (24 papers), Electrochemical Analysis and Applications (16 papers) and Radioactive element chemistry and processing (7 papers). Ivanka Dakova collaborates with scholars based in Bulgaria, Switzerland and United Kingdom. Ivanka Dakova's co-authors include Irina Karadjova, George Georgiev, Ventsislava Georgieva, Penka Vasileva, G. Georgiev, Konstantin Balashev, Dimiter L. Tsalev, Vera I. Slaveykova and Seamus Simpson and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Hazardous Materials and Molecules.

In The Last Decade

Ivanka Dakova

27 papers receiving 515 citations

Author Peers

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

Author Last Decade Papers Cites
Ivanka Dakova 415 224 108 106 84 29 528
Lourdes Tajes Martínez 376 0.9× 246 1.1× 55 0.5× 123 1.2× 49 0.6× 19 542
Tülay Oymak 329 0.8× 240 1.1× 83 0.8× 68 0.6× 66 0.8× 23 520
Zhefeng Fan 508 1.2× 307 1.4× 82 0.8× 144 1.4× 37 0.4× 29 600
Yaneira Petit de Peña 315 0.8× 215 1.0× 73 0.7× 103 1.0× 37 0.4× 21 534
Özcan Yalçınkaya 298 0.7× 224 1.0× 51 0.5× 68 0.6× 77 0.9× 30 472
Marcela Zanetti Corazza 379 0.9× 174 0.8× 63 0.6× 53 0.5× 156 1.9× 32 618
Xiaojun Zou 428 1.0× 295 1.3× 85 0.8× 60 0.6× 161 1.9× 11 606
Karina Kocot 351 0.8× 187 0.8× 82 0.8× 73 0.7× 35 0.4× 27 555
Aslıhan Karatepe 347 0.8× 231 1.0× 55 0.5× 68 0.6× 55 0.7× 16 537
Adalet Tunçeli 341 0.8× 229 1.0× 66 0.6× 86 0.8× 101 1.2× 12 479

Countries citing papers authored by Ivanka Dakova

Since Specialization
Citations

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

Fields of papers citing papers by Ivanka Dakova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ivanka Dakova

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