Carlos Hernández
- Computational Theory and Mathematics top 5%
- Control and Systems Engineering top 10%
- Artificial Intelligence
- Statistics, Probability and Uncertainty top 5%
- Statistical and Nonlinear Physics top 10%
- Co-authors
- Oliver SchützeJian‐Qiao SunFurui XiongQian DingWei LiangRafael SaavedraJonadab E. OlguínRobin Harte
- Topics
- Advanced Multi-Objective Optimization Algorithms (20 papers)Metaheuristic Optimization Algorithms Research (12 papers)Evolutionary Algorithms and Applications (6 papers)
- Partner nations
- MexicoUnited StatesChina
In The Last Decade
Carlos Hernández
51 papers receiving 430 citations
Peers
Comparison fields: 5 of 98
- Computational Theory and Mathematics 139
- Control and Systems Engineering 102
- Artificial Intelligence 76
- Statistics, Probability and Uncertainty 48
- Statistical and Nonlinear Physics 44
Countries citing papers authored by Carlos Hernández
This map shows the geographic impact of Carlos Hernández'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 Carlos Hernández with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carlos Hernández more than expected).
Fields of papers citing papers by Carlos Hernández
This network shows the impact of papers produced by Carlos Hernández. 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 Carlos Hernández. The network helps show where Carlos Hernández may publish in the future.
Co-authorship network of co-authors of Carlos Hernández
This figure shows the co-authorship network connecting the top 25 collaborators of Carlos Hernández. A scholar is included among the top collaborators of Carlos Hernández 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 Carlos Hernández. Carlos Hernández is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 4 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 1 | |
| 11 | 20 | |
| 12 | 18 | |
| 13 | 24 | |
| 14 | 7 | |
| 15 | Scale invariance and criticality in nuclear spectra | 1 |
| 16 | 13 | |
| 17 | 4 | |
| 18 | 3 | |
| 19 | 7 | |
| 20 | 4 |
About Carlos Hernández
Carlos Hernández is a scholar working on Computational Theory and Mathematics, Algebra and Number Theory and Statistics, Probability and Uncertainty, having authored 56 papers that have together received 442 indexed citations. Recurring topics across this work include Advanced Multi-Objective Optimization Algorithms (20 papers), Metaheuristic Optimization Algorithms Research (12 papers) and Evolutionary Algorithms and Applications (6 papers). The work is most often cited by research in Computational Theory and Mathematics (139 citations), Statistics, Probability and Uncertainty (48 citations) and Parasitology (32 citations). Carlos Hernández has collaborated with scholars based in Mexico, United States and China. Frequent co-authors include Oliver Schütze, Jian‐Qiao Sun, Furui Xiong, Qian Ding, Wei Liang, Rafael Saavedra, Jonadab E. Olguín, Robin Harte, N. Morrell and S. Malaroda. Their work appears in journals such as The Journal of Immunology, PLoS ONE and Expert Systems with Applications.
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.