Miguel Alfaro
- Strategy and Management top 5%
- Industrial and Manufacturing Engineering top 5%
- Artificial Intelligence
- Economics and Econometrics top 10%
- Management Information Systems top 10%
- Co-authors
- Guillermo FuertesManuel VargasJorge SabattinRodrigo TerneroSebastián GutiérrezMaurício CamargoClaudia DuránJuan Pedro Sepúlveda-Rojas
- Topics
- Metaheuristic Optimization Algorithms Research (5 papers)Digital Transformation in Industry (4 papers)Neural Networks and Applications (4 papers)
- Cited by
- Industrial and Manufacturing EngineeringStrategy and ManagementManagement of Technology and Innovation
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEJournal of Cleaner Production
In The Last Decade
Miguel Alfaro
49 papers receiving 597 citations
Peers
Comparison fields: 5 of 110
- Strategy and Management 155
- Industrial and Manufacturing Engineering 108
- Artificial Intelligence 90
- Economics and Econometrics 86
- Management Information Systems 67
Countries citing papers authored by Miguel Alfaro
This map shows the geographic impact of Miguel Alfaro'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 Miguel Alfaro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miguel Alfaro more than expected).
Fields of papers citing papers by Miguel Alfaro
This network shows the impact of papers produced by Miguel Alfaro. 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 Miguel Alfaro. The network helps show where Miguel Alfaro may publish in the future.
Co-authorship network of co-authors of Miguel Alfaro
This figure shows the co-authorship network connecting the top 25 collaborators of Miguel Alfaro. A scholar is included among the top collaborators of Miguel Alfaro 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 Miguel Alfaro. Miguel Alfaro 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 | 3 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 9 | |
| 7 | 2 | |
| 8 | 13 | |
| 9 | 9 | |
| 10 | 3 | |
| 11 | 13 | |
| 12 | 6 | |
| 13 | 3 | |
| 14 | 1 | |
| 15 | 1 | |
| 16 | 40 | |
| 17 | Marriage in Honey Bees Optimization Algorithm for Flow-shop Problems | 3 |
| 18 | 10 | |
| 19 | A new public key cryptography algorithm using chaotic systems and hyperelliptic curves | 1 |
| 20 | 1 |
About Miguel Alfaro
Miguel Alfaro is a scholar working on Industrial and Manufacturing Engineering, Management Information Systems and Architecture, having authored 52 papers that have together received 636 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (5 papers), Digital Transformation in Industry (4 papers) and Neural Networks and Applications (4 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (108 citations), Strategy and Management (155 citations) and Management of Technology and Innovation (61 citations). Miguel Alfaro has collaborated with scholars based in Chile, Colombia and France. Frequent co-authors include Guillermo Fuertes, Manuel Vargas, Jorge Sabattin, Rodrigo Ternero, Sebastián Gutiérrez, Maurício Camargo, Claudia Durán, Juan Pedro Sepúlveda-Rojas, Paulo César Narváez Rincón and Ismael Soto. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Cleaner Production.
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.