Aybar C. Acar
- Molecular Biology
- Computational Theory and Mathematics top 10%
- Artificial Intelligence
- Computer Vision and Pattern Recognition
- Management Science and Operations Research
- Co-authors
- Tunca DoğanKemal TurhanHeval AtaşAmihai MotroGökhan KarakülahÖzlen KonuCengiz YakıcıerVolkan Atalay
- Topics
- Computational Drug Discovery Methods (5 papers)Machine Learning in Bioinformatics (3 papers)Protein Structure and Dynamics (3 papers)
- Cited by
- Computational Theory and MathematicsManagement Science and Operations ResearchMolecular Biology
- Partner nations
- TürkiyeUnited StatesGermany
In The Last Decade
Aybar C. Acar
19 papers receiving 287 citations
Peers
Comparison fields: 5 of 81
- Molecular Biology 154
- Computational Theory and Mathematics 50
- Artificial Intelligence 48
- Computer Vision and Pattern Recognition 29
- Management Science and Operations Research 28
Countries citing papers authored by Aybar C. Acar
This map shows the geographic impact of Aybar C. Acar'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 Aybar C. Acar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aybar C. Acar more than expected).
Fields of papers citing papers by Aybar C. Acar
This network shows the impact of papers produced by Aybar C. Acar. 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 Aybar C. Acar. The network helps show where Aybar C. Acar may publish in the future.
Co-authorship network of co-authors of Aybar C. Acar
This figure shows the co-authorship network connecting the top 25 collaborators of Aybar C. Acar. A scholar is included among the top collaborators of Aybar C. Acar 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 Aybar C. Acar. Aybar C. Acar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 35 | |
| 2 | 0 | |
| 3 | 106 | |
| 4 | 2 | |
| 5 | 4 | |
| 6 | 2 | |
| 7 | 5 | |
| 8 | 7 | |
| 9 | 29 | |
| 10 | 21 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 6 | |
| 14 | 1 | |
| 15 | 29 | |
| 16 | 1 | |
| 17 | Query Consolidation: Interpreting a Set of Independent Queries Using a Multidatabase Architecture in the Reverse Direction | 1 |
| 18 | A.: Intensional encapsulations of database subsets via genetic programming | 2 |
| 19 | 36 | |
| 20 | 8 |
About Aybar C. Acar
Aybar C. Acar is a scholar working on Modeling and Simulation, Computational Theory and Mathematics and Periodontics, having authored 20 papers that have together received 297 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (5 papers), Machine Learning in Bioinformatics (3 papers) and Protein Structure and Dynamics (3 papers). The work is most often cited by research in Computational Theory and Mathematics (50 citations), Management Science and Operations Research (28 citations) and Molecular Biology (154 citations). Aybar C. Acar has collaborated with scholars based in Türkiye, United States and Germany. Frequent co-authors include Tunca Doğan, Kemal Turhan, Heval Ataş, Amihai Motro, Gökhan Karakülah, Özlen Konu, Cengiz Yakıcıer, Volkan Atalay, Rengül Çetin-Atalay and Koray Dogan Kaya. Their work appears in journals such as Nucleic Acids Research, Bioinformatics and International Journal of Molecular Sciences.
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.