Juan Lanchares
- Artificial Intelligence top 10%
- Hardware and Architecture top 5%
- Endocrinology, Diabetes and Metabolism top 10%
- Electrical and Electronic Engineering
- Computer Networks and Communications top 10%
- Co-authors
- J. Ignacio HidalgoÓscar GarnicaR. HermidaJ. De VicenteJ. Manuel ColmenarJosé L. Risco‐MartínGabriel KronbergerStephan Winkler
- Topics
- Evolutionary Algorithms and Applications (24 papers)VLSI and FPGA Design Techniques (13 papers)Embedded Systems Design Techniques (13 papers)
- Cited by
- Hardware and ArchitectureHealth Information ManagementEndocrinology, Diabetes and Metabolism
- Partner nations
- SpainSwitzerlandAustria
In The Last Decade
Juan Lanchares
52 papers receiving 446 citations
Peers
Comparison fields: 5 of 88
- Artificial Intelligence 198
- Hardware and Architecture 105
- Endocrinology, Diabetes and Metabolism 104
- Electrical and Electronic Engineering 90
- Computer Networks and Communications 69
Countries citing papers authored by Juan Lanchares
This map shows the geographic impact of Juan Lanchares'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 Juan Lanchares with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Juan Lanchares more than expected).
Fields of papers citing papers by Juan Lanchares
This network shows the impact of papers produced by Juan Lanchares. 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 Juan Lanchares. The network helps show where Juan Lanchares may publish in the future.
Co-authorship network of co-authors of Juan Lanchares
This figure shows the co-authorship network connecting the top 25 collaborators of Juan Lanchares. A scholar is included among the top collaborators of Juan Lanchares 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 Juan Lanchares. Juan Lanchares 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 | 4 | |
| 3 | 8 | |
| 4 | 71 | |
| 5 | 9 | |
| 6 | 1 | |
| 7 | 6 | |
| 8 | 13 | |
| 9 | 3 | |
| 10 | 15 | |
| 11 | 24 | |
| 12 | 3 | |
| 13 | 4 | |
| 14 | 3 | |
| 15 | 21 | |
| 16 | 1 | |
| 17 | 5 | |
| 18 | 9 | |
| 19 | 3 | |
| 20 | 5 |
About Juan Lanchares
Juan Lanchares is a scholar working on Hardware and Architecture, Artificial Intelligence and Computational Theory and Mathematics, having authored 54 papers that have together received 470 indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (24 papers), VLSI and FPGA Design Techniques (13 papers) and Embedded Systems Design Techniques (13 papers). The work is most often cited by research in Hardware and Architecture (105 citations), Health Information Management (48 citations) and Endocrinology, Diabetes and Metabolism (104 citations). Juan Lanchares has collaborated with scholars based in Spain, Switzerland and Austria. Frequent co-authors include J. Ignacio Hidalgo, Óscar Garnica, R. Hermida, J. De Vicente, J. Manuel Colmenar, José L. Risco‐Martín, Gabriel Kronberger, Stephan Winkler, Francisco Fernández de Vega and Francisco Fernández de Vega. Their work appears in journals such as Sensors, Physics Letters A and Applied Soft Computing.
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.