Olympia Roeva

1.7k total citations
82 papers, 678 citations indexed

About

Olympia Roeva is a scholar working on Artificial Intelligence, Molecular Biology and Control and Systems Engineering. According to data from OpenAlex, Olympia Roeva has authored 82 papers receiving a total of 678 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Artificial Intelligence, 30 papers in Molecular Biology and 26 papers in Control and Systems Engineering. Recurrent topics in Olympia Roeva's work include Intuitionistic Fuzzy Systems Applications (25 papers), Advanced Control Systems Optimization (22 papers) and Viral Infectious Diseases and Gene Expression in Insects (21 papers). Olympia Roeva is often cited by papers focused on Intuitionistic Fuzzy Systems Applications (25 papers), Advanced Control Systems Optimization (22 papers) and Viral Infectious Diseases and Gene Expression in Insects (21 papers). Olympia Roeva collaborates with scholars based in Bulgaria, United Kingdom and Germany. Olympia Roeva's co-authors include Stefka Fidanova, Marcin Paprzycki, Tania Pencheva, Tsonyo Slavov, Peter Vassilev, Maria Angelova, Oscar Castillo, Bernd Hitzmann, Vassia Atanassova and Krassimir Atanassov and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and Applied Sciences.

In The Last Decade

Olympia Roeva

77 papers receiving 628 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Olympia Roeva Bulgaria 14 241 126 123 64 60 82 678
Snehasis Mukhopadhyay United States 12 229 1.0× 200 1.6× 148 1.2× 77 1.2× 31 0.5× 61 766
Weizheng Zhang China 14 263 1.1× 85 0.7× 53 0.4× 177 2.8× 75 1.3× 44 836
Fardin Akhlaghian Tab Iran 17 323 1.3× 65 0.5× 45 0.4× 37 0.6× 74 1.2× 51 892
Jiaxu Ning China 11 367 1.5× 32 0.3× 95 0.8× 126 2.0× 50 0.8× 30 741
Jingsen Liu China 13 300 1.2× 50 0.4× 57 0.5× 137 2.1× 45 0.8× 31 581
P. Ganeshkumar India 19 273 1.1× 110 0.9× 63 0.5× 22 0.3× 44 0.7× 80 1.1k
Zhiheng Zhang China 13 228 0.9× 20 0.2× 120 1.0× 105 1.6× 57 0.9× 47 654
Tibérius O. Bonates Brazil 11 169 0.7× 103 0.8× 61 0.5× 111 1.7× 26 0.4× 20 545
Marzuki Khalid Malaysia 19 310 1.3× 120 1.0× 357 2.9× 45 0.7× 44 0.7× 91 1.3k

Countries citing papers authored by Olympia Roeva

Since Specialization
Citations

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

Fields of papers citing papers by Olympia Roeva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Olympia Roeva

This figure shows the co-authorship network connecting the top 25 collaborators of Olympia Roeva. A scholar is included among the top collaborators of Olympia Roeva 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 Olympia Roeva. Olympia Roeva 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.
Roeva, Olympia, et al.. (2024). A Comparison of Chaotic Electromagnetic Field Optimization Algorithms. SHILAP Revista de lepidopterología. 28(4). 245–265. 1 indexed citations
2.
Angelova, Maria, Olympia Roeva, Peter Vassilev, & Tania Pencheva. (2023). Multi-Population Genetic Algorithm and Cuckoo Search Hybrid Technique for Parameter Identification of Fermentation Process Models. Processes. 11(2). 427–427. 5 indexed citations
3.
Roeva, Olympia, et al.. (2023). Model Identification of E. coli Cultivation Process Applying Hybrid Crow Search Algorithm. Fermentation. 10(1). 12–12. 1 indexed citations
4.
Atanassova, Vassia, Olympia Roeva, Peter Vassilev, et al.. (2022). Application of Game Method for Modelling and Temporal Intuitionistic Fuzzy Pairs to the Forest Fire Spread in the Presence of Strong Wind. Mathematics. 10(8). 1280–1280. 2 indexed citations
5.
Atanassov, Krassimir, et al.. (2021). Generalized Net Model of Forest Zone Monitoring by UAVs. Mathematics. 9(22). 2874–2874. 3 indexed citations
6.
Roeva, Olympia, et al.. (2021). Escherichia coli Cultivation Process Modelling Using ABC-GA Hybrid Algorithm. Processes. 9(8). 1418–1418. 9 indexed citations
7.
Velikova, Violeta, Carmen Arena, Luigi Gennaro Izzo, et al.. (2020). Functional and Structural Leaf Plasticity Determine Photosynthetic Performances during Drought Stress and Recovery in Two Platanus orientalis Populations from Contrasting Habitats. International Journal of Molecular Sciences. 21(11). 3912–3912. 25 indexed citations
9.
Roeva, Olympia, et al.. (2015). Functional State Modelling of Cultivation Processes: Dissolved Oxygen Limitation State. SHILAP Revista de lepidopterología. 1 indexed citations
10.
Slavov, Tsonyo & Olympia Roeva. (2014). Multiple non-linear model adaptive control of cultivation process: Hardware-in-the-loop simulation of control system. Comptes Rendus De L Academie Bulgare Des Sciences. 67(4). 577–584. 1 indexed citations
11.
Roeva, Olympia & Tania Pencheva. (2014). Functional state modelling approach validation for yeast and bacteria cultivations. Biotechnology & Biotechnological Equipment. 28(5). 968–974. 2 indexed citations
12.
Roeva, Olympia, et al.. (2012). Genetic Algorithms and Firefly Algorithms for Non-linear Bioprocess Model Parameters Identification.. 164–169. 1 indexed citations
13.
Roeva, Olympia & Tsonyo Slavov. (2012). Firefly algorithm tuning of PID controller for glucose concentration control during E. coli fed-batch cultivation process. Federated Conference on Computer Science and Information Systems. 455–462. 18 indexed citations
14.
Slavov, Tsonyo & Olympia Roeva. (2012). Application of Genetic Algorithm to Tuning a PID Controller for Glucose Concentration Control. WSEAS TRANSACTIONS on SYSTEMS archive. 11(7). 223–233. 16 indexed citations
15.
Roeva, Olympia & Tsonyo Slavov. (2011). Fed-batch cultivation control based on genetic algorithm PID controller tuning. Lecture notes in computer science. 289–296.
16.
Roeva, Olympia, et al.. (2010). Optimal Feeding Trajectories Design for E. coli Fed-batch Fermentations. SHILAP Revista de lepidopterología. 2 indexed citations
17.
Roeva, Olympia, et al.. (2009). A Genetic Algorithm for Feeding Trajectory Optimisation of Fed-batch Fermentation Processes. SHILAP Revista de lepidopterología. 10 indexed citations
18.
Roeva, Olympia, et al.. (2008). A genetic algorithms based approach for identification of Escherichia coli fed-batch fermentation. SHILAP Revista de lepidopterología. 14 indexed citations
19.
Roeva, Olympia, et al.. (2007). Multiple model approach to modelling of Escherichia coli fed-batch cultivation extracellular production of bacterial phytase. Electronic Journal of Biotechnology. 10(4). 592–603. 17 indexed citations
20.
Roeva, Olympia. (2005). Genetic Algorithms for a Parameter Estimation of a Fermentation Process Model: A Comparison. SHILAP Revista de lepidopterología. 12 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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