Adriana Lara
- Computational Theory and Mathematics top 0.5%
- Artificial Intelligence top 2%
- Management Science and Operations Research top 5%
- Control and Systems Engineering top 10%
- Civil and Structural Engineering top 10%
- Co-authors
- Oliver SchützeCarlos A. Coello CoelloGustavo SánchezKalyanmoy DebSaúl Zapotecas–MartínezAntonin PonsichMassimiliano VasileEdmund Burke
- Topics
- Advanced Multi-Objective Optimization Algorithms (23 papers)Metaheuristic Optimization Algorithms Research (21 papers)Evolutionary Algorithms and Applications (10 papers)
- Cited by
- Computational Theory and MathematicsArtificial IntelligenceStatistics, Probability and Uncertainty
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Evolutionary ComputationSwarm and Evolutionary Computation
- Partner nations
- MexicoUnited StatesUnited Kingdom
In The Last Decade
Adriana Lara
26 papers receiving 827 citations
Hit Papers
Peers
Comparison fields: 5 of 71
- Computational Theory and Mathematics 660
- Artificial Intelligence 573
- Management Science and Operations Research 112
- Control and Systems Engineering 106
- Civil and Structural Engineering 73
Countries citing papers authored by Adriana Lara
This map shows the geographic impact of Adriana Lara'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 Adriana Lara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adriana Lara more than expected).
Fields of papers citing papers by Adriana Lara
This network shows the impact of papers produced by Adriana Lara. 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 Adriana Lara. The network helps show where Adriana Lara may publish in the future.
Co-authorship network of co-authors of Adriana Lara
This figure shows the co-authorship network connecting the top 25 collaborators of Adriana Lara. A scholar is included among the top collaborators of Adriana Lara 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 Adriana Lara. Adriana Lara is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 16 | |
| 5 | 4 | |
| 6 | 1 | |
| 7 | 41 | |
| 8 | 14 | |
| 9 | 6 | |
| 10 | 3 | |
| 11 | 1 | |
| 12 | Using the Averaged Hausdorff Distance as a Performance Measure in Evolutionary Multiobjective Optimizationbreakdown → | 361 |
| 13 | 7 | |
| 14 | 1 | |
| 15 | 3 | |
| 16 | 8 | |
| 17 | 3 | |
| 18 | 7 | |
| 19 | 10 | |
| 20 | 142 |
About Adriana Lara
Adriana Lara is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Statistics, Probability and Uncertainty, having authored 28 papers that have together received 854 indexed citations. Recurring topics across this work include Advanced Multi-Objective Optimization Algorithms (23 papers), Metaheuristic Optimization Algorithms Research (21 papers) and Evolutionary Algorithms and Applications (10 papers). The work is most often cited by research in Computational Theory and Mathematics (660 citations), Artificial Intelligence (573 citations) and Statistics, Probability and Uncertainty (73 citations). Adriana Lara has collaborated with scholars based in Mexico, United States and United Kingdom. Frequent co-authors include Oliver Schütze, Carlos A. Coello Coello, Gustavo Sánchez, Kalyanmoy Deb, Saúl Zapotecas–Martínez, Antonin Ponsich, Massimiliano Vasile, Edmund Burke, Jun Chen and Günter Rudolph. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Evolutionary Computation and Swarm 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.