Daniel Hernández‐Balbuena
- Computational Mechanics top 2%
- Electrical and Electronic Engineering top 10%
- Computer Vision and Pattern Recognition top 5%
- Computer Networks and Communications top 5%
- Aerospace Engineering top 10%
- Co-authors
- Oleg SergiyenkoMoisés Rivas-LópezJulio C. Rodríguez‐QuiñonezWendy Flores‐FuentesVera TyrsaLars LindnerPaolo MercorelliLuis C. Básaca-Preciado
- Topics
- Astronomical Observations and Instrumentation (64 papers)Advanced Measurement and Detection Methods (27 papers)Sensor Technology and Measurement Systems (18 papers)
- Journals
- SHILAP Revista de lepidopterologíaInternational Journal of Heat and Mass TransferSensors
In The Last Decade
Daniel Hernández‐Balbuena
78 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 90
- Computational Mechanics 552
- Electrical and Electronic Engineering 389
- Computer Vision and Pattern Recognition 330
- Computer Networks and Communications 170
- Aerospace Engineering 146
Countries citing papers authored by Daniel Hernández‐Balbuena
This map shows the geographic impact of Daniel Hernández‐Balbuena'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 Daniel Hernández‐Balbuena with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Hernández‐Balbuena more than expected).
Fields of papers citing papers by Daniel Hernández‐Balbuena
This network shows the impact of papers produced by Daniel Hernández‐Balbuena. 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 Daniel Hernández‐Balbuena. The network helps show where Daniel Hernández‐Balbuena may publish in the future.
Co-authorship network of co-authors of Daniel Hernández‐Balbuena
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Hernández‐Balbuena. A scholar is included among the top collaborators of Daniel Hernández‐Balbuena 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 Daniel Hernández‐Balbuena. Daniel Hernández‐Balbuena 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 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 3 | |
| 8 | 6 | |
| 9 | 1 | |
| 10 | 45 | |
| 11 | 16 | |
| 12 | 4 | |
| 13 | 1 | |
| 14 | 8 | |
| 15 | 4 | |
| 16 | 3 | |
| 17 | 19 | |
| 18 | 2 | |
| 19 | 23 | |
| 20 | 31 |
About Daniel Hernández‐Balbuena
Daniel Hernández‐Balbuena is a scholar working on Computational Mechanics, Instrumentation and Geology, having authored 86 papers that have together received 1.1k indexed citations. Recurring topics across this work include Astronomical Observations and Instrumentation (64 papers), Advanced Measurement and Detection Methods (27 papers) and Sensor Technology and Measurement Systems (18 papers). The work is most often cited by research in Instrumentation (93 citations), Computational Mechanics (552 citations) and Geology (127 citations). Daniel Hernández‐Balbuena has collaborated with scholars based in Mexico, Ukraine and Germany. Frequent co-authors include Oleg Sergiyenko, Moisés Rivas-López, Julio C. Rodríguez‐Quiñonez, Wendy Flores‐Fuentes, Vera Tyrsa, Lars Lindner, Paolo Mercorelli, Luis C. Básaca-Preciado, Fabián N. Murrieta-Rico and Juan Iván Nieto Hipólito. Their work appears in journals such as SHILAP Revista de lepidopterología, International Journal of Heat and Mass Transfer and Sensors.
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.