Anelia Dakova

55 total papers · 634 total citations
39 papers, 561 citations indexed

About

Anelia Dakova is a scholar working on Atomic and Molecular Physics, and Optics, Statistical and Nonlinear Physics and Electrical and Electronic Engineering. According to data from OpenAlex, Anelia Dakova has authored 39 papers receiving a total of 561 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Atomic and Molecular Physics, and Optics, 30 papers in Statistical and Nonlinear Physics and 11 papers in Electrical and Electronic Engineering. Recurrent topics in Anelia Dakova's work include Advanced Fiber Laser Technologies (33 papers), Nonlinear Photonic Systems (24 papers) and Nonlinear Waves and Solitons (22 papers). Anelia Dakova is often cited by papers focused on Advanced Fiber Laser Technologies (33 papers), Nonlinear Photonic Systems (24 papers) and Nonlinear Waves and Solitons (22 papers). Anelia Dakova collaborates with scholars based in Bulgaria, Saudi Arabia and United States. Anelia Dakova's co-authors include Anjan Biswas, Milivoj R. Belić, Hashim M. Alshehri, Yakup Yıldırım, Elsayed M.E. Zayed, Mohamed E.M. Alngar, Reham M.A. Shohib, Padmaja Guggilla, Salam Khan and Mehmet Ekici and has published in prestigious journals such as Nonlinear Dynamics, Optik and Optical and Quantum Electronics.

In The Last Decade

Anelia Dakova

35 papers receiving 541 citations

Hit Papers

Optical solitons in the S... 2022 2026 2023 2024 2022 50 100 150

Author Peers

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

Author Last Decade Papers Cites
Anelia Dakova 523 337 103 83 33 39 561
Fayequa B. Majid 572 1.1× 313 0.9× 76 0.7× 156 1.9× 41 1.2× 22 619
A. A. Al Qarni 490 0.9× 257 0.8× 65 0.6× 138 1.7× 29 0.9× 20 536
Lu Tang 471 0.9× 259 0.8× 77 0.7× 101 1.2× 37 1.1× 28 499
Alphonse Houwe 567 1.1× 297 0.9× 46 0.4× 164 2.0× 32 1.0× 38 617
Mahmoud El‐Horbaty 552 1.1× 349 1.0× 99 1.0× 78 0.9× 41 1.2× 38 569
Thomas Bouetou Bouetou 455 0.9× 242 0.7× 37 0.4× 87 1.0× 42 1.3× 32 519
Anupma Bansal 480 0.9× 208 0.6× 69 0.7× 126 1.5× 87 2.6× 18 521
Ifrah Iqbal 457 0.9× 184 0.5× 66 0.6× 168 2.0× 26 0.8× 37 518
Muhammad Tahir 638 1.2× 266 0.8× 101 1.0× 231 2.8× 66 2.0× 22 698
A. Uthayakumar 544 1.0× 413 1.2× 96 0.9× 47 0.6× 32 1.0× 28 580

Countries citing papers authored by Anelia Dakova

Since Specialization
Citations

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

Fields of papers citing papers by Anelia Dakova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anelia Dakova

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