Bogdan Burlacu
- Artificial Intelligence top 10%
- Computational Theory and Mathematics top 10%
- Molecular Biology
- Statistical and Nonlinear Physics
- Astronomy and Astrophysics
- Co-authors
- Gabriel KronbergerMichael KommendaMichael AffenzellerFabrício Olivetti de FrançaStephan WinklerPedro G. FerreiraKaifeng YangHarry Desmond
- Topics
- Evolutionary Algorithms and Applications (18 papers)Metaheuristic Optimization Algorithms Research (16 papers)Advanced Multi-Objective Optimization Algorithms (6 papers)
In The Last Decade
Bogdan Burlacu
22 papers receiving 255 citations
Peers
Comparison fields: 5 of 61
- Artificial Intelligence 173
- Computational Theory and Mathematics 45
- Molecular Biology 38
- Statistical and Nonlinear Physics 31
- Astronomy and Astrophysics 26
Countries citing papers authored by Bogdan Burlacu
This map shows the geographic impact of Bogdan Burlacu'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 Bogdan Burlacu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bogdan Burlacu more than expected).
Fields of papers citing papers by Bogdan Burlacu
This network shows the impact of papers produced by Bogdan Burlacu. 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 Bogdan Burlacu. The network helps show where Bogdan Burlacu may publish in the future.
Co-authorship network of co-authors of Bogdan Burlacu
This figure shows the co-authorship network connecting the top 25 collaborators of Bogdan Burlacu. A scholar is included among the top collaborators of Bogdan Burlacu 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 Bogdan Burlacu. Bogdan Burlacu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 8 | |
| 4 | 14 | |
| 5 | 4 | |
| 6 | 7 | |
| 7 | 1 | |
| 8 | 16 | |
| 9 | 34 | |
| 10 | 57 | |
| 11 | 7 | |
| 12 | 66 | |
| 13 | 1 | |
| 14 | 6 | |
| 15 | 3 | |
| 16 | Heat treatment process parameter estimation using heuristic optimization algorithms | 1 |
| 17 | 5 | |
| 18 | 13 | |
| 19 | On the analysis, classification and prediction of metaheuristic algorithm behavior for combinatorial optimization problems | 1 |
| 20 | Multiobjective design of evolutionary hybrid neural networks | 3 |
About Bogdan Burlacu
Bogdan Burlacu is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Hardware and Architecture, having authored 23 papers that have together received 258 indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (18 papers), Metaheuristic Optimization Algorithms Research (16 papers) and Advanced Multi-Objective Optimization Algorithms (6 papers). The work is most often cited by research in Artificial Intelligence (173 citations), Computational Theory and Mathematics (45 citations) and Statistical and Nonlinear Physics (31 citations). Bogdan Burlacu has collaborated with scholars based in Austria, Brazil and Romania. Frequent co-authors include Gabriel Kronberger, Michael Kommenda, Michael Affenzeller, Fabrício Olivetti de França, Stephan Winkler, Pedro G. Ferreira, Kaifeng Yang, Harry Desmond, B. D. Wandelt and Mihail L. Sichitiu. Their work appears in journals such as Astronomy and Astrophysics, Applied Soft Computing and Evolutionary Computation.
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.