D. Maldonado
- Electrical and Electronic Engineering top 10%
- Cellular and Molecular Neuroscience top 5%
- Cognitive Neuroscience top 10%
- Statistical and Nonlinear Physics top 5%
- Polymers and Plastics
- Co-authors
- J.B. RoldánFrancisco AlonsoF. Jiménez-MolinosAna M. AguileraMario LanzaMireia Bargalló GonzálezF. CampabadalN. V. Agudov
- Topics
- Advanced Memory and Neural Computing (42 papers)Ferroelectric and Negative Capacitance Devices (31 papers)Neuroscience and Neural Engineering (21 papers)
- Cited by
- Cellular and Molecular NeuroscienceElectrical and Electronic EngineeringStatistical and Nonlinear Physics
- Journals
- SHILAP Revista de lepidopterologíaApplied Physics LettersJournal of Applied Physics
- Partner nations
- SpainGermanySaudi Arabia
In The Last Decade
D. Maldonado
42 papers receiving 712 citations
Peers
Comparison fields: 5 of 50
- Electrical and Electronic Engineering 632
- Cellular and Molecular Neuroscience 283
- Cognitive Neuroscience 120
- Statistical and Nonlinear Physics 110
- Polymers and Plastics 65
Countries citing papers authored by D. Maldonado
This map shows the geographic impact of D. Maldonado'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 D. Maldonado with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Maldonado more than expected).
Fields of papers citing papers by D. Maldonado
This network shows the impact of papers produced by D. Maldonado. 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 D. Maldonado. The network helps show where D. Maldonado may publish in the future.
Co-authorship network of co-authors of D. Maldonado
This figure shows the co-authorship network connecting the top 25 collaborators of D. Maldonado. A scholar is included among the top collaborators of D. Maldonado 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 D. Maldonado. D. Maldonado 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 | 3 | |
| 4 | 3 | |
| 5 | 2 | |
| 6 | 11 | |
| 7 | 0 | |
| 8 | 7 | |
| 9 | 9 | |
| 10 | 4 | |
| 11 | 4 | |
| 12 | 0 | |
| 13 | 5 | |
| 14 | 18 | |
| 15 | 45 | |
| 16 | 118 | |
| 17 | 10 | |
| 18 | 5 | |
| 19 | 7 | |
| 20 | 1 |
About D. Maldonado
D. Maldonado is a scholar working on Cellular and Molecular Neuroscience, Electrical and Electronic Engineering and Cognitive Neuroscience, having authored 46 papers that have together received 726 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (42 papers), Ferroelectric and Negative Capacitance Devices (31 papers) and Neuroscience and Neural Engineering (21 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (283 citations), Electrical and Electronic Engineering (632 citations) and Statistical and Nonlinear Physics (110 citations). D. Maldonado has collaborated with scholars based in Spain, Germany and Saudi Arabia. Frequent co-authors include J.B. Roldán, Francisco Alonso, F. Jiménez-Molinos, Ana M. Aguilera, Mario Lanza, Mireia Bargalló González, F. Campabadal, N. V. Agudov, M. N. Koryazhkina and A. A. Dubkov. Their work appears in journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and Journal of Applied Physics.
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.