Daniel M. Muñoz
Impact in
- Control and Systems Engineering top 10%
- Elevator Systems and Control
- Hardware and Architecture top 10%
Papers in
-
- Robot Manipulation and Learning 7
- Elevator Systems and Control 5
-
- CCD and CMOS Imaging Sensors 6
- Co-authors
- Carlos H. Llanos (38 shared papers)Maurício Ayala-Rincón (17 shared papers)Leandro dos Santos Coelho (11 shared papers)Janier Arias-García (5 shared papers)Helon Vicente Hultmann Ayala (5 shared papers)José Maurício Santos Torres da Motta (4 shared papers)Geovany A. Borges (2 shared papers)Ricardo Pezzuol Jacobi (1 shared paper)
In The Last Decade
Daniel M. Muñoz
57 papers receiving 432 citations
Peers
Comparison fields: 5 of 58
- Control and Systems Engineering 148
- Hardware and Architecture 39
- Computational Theory and Mathematics 88
- Artificial Intelligence 153
- Computer Vision and Pattern Recognition 93
Countries citing papers authored by Daniel M. Muñoz
This map shows the geographic impact of Daniel M. Muñoz'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 M. Muñoz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel M. Muñoz more than expected).
Fields of papers citing papers by Daniel M. Muñoz
This network shows the impact of papers produced by Daniel M. Muñoz. 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 M. Muñoz. The network helps show where Daniel M. Muñoz may publish in the future.
Co-authors
The 23 scholars most cited alongside Daniel M. Muñoz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 41 | |
| 2 | 2010 | 30 | |
| 3 | 2008 | 26 | |
| 4 | 2013 | 25 | |
| 5 | 2010 | 25 | |
| 6 | 2009 | 22 | |
| 7 | 2009 | 17 | |
| 8 | 2009 | 14 | |
| 9 | 2013 | 14 | |
| 10 | 2010 | 14 | |
| 11 | 2012 | 11 | |
| 12 | 2017 | 10 | |
| 13 | 2018 | 9 | |
| 14 | 2013 | 9 | |
| 15 | 2022 | 9 | |
| 16 | 2021 | 9 | |
| 17 | 2016 | 9 | |
| 18 | 2015 | 9 | |
| 19 | 2006 | 8 | |
| 20 | 2011 | 8 |
About Daniel M. Muñoz
Daniel M. Muñoz is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering, Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics, having authored 70 papers that have together received 454 indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (8 papers), Metaheuristic Optimization Algorithms Research (8 papers), Robot Manipulation and Learning (7 papers), Numerical Methods and Algorithms (6 papers), CCD and CMOS Imaging Sensors (6 papers), Robotic Path Planning Algorithms (5 papers), Advanced Multi-Objective Optimization Algorithms (5 papers) and Elevator Systems and Control (5 papers). The work is most often cited by research in Control and Systems Engineering (148 citations), Hardware and Architecture (39 citations), Computational Theory and Mathematics (88 citations), Artificial Intelligence (153 citations) and Computer Vision and Pattern Recognition (93 citations). Daniel M. Muñoz has collaborated with scholars based in Brazil, Colombia and Germany. Frequent co-authors include Carlos H. Llanos, Maurício Ayala-Rincón, Leandro dos Santos Coelho, Janier Arias-García, Helon Vicente Hultmann Ayala, José Maurício Santos Torres da Motta, Geovany A. Borges, Ricardo Pezzuol Jacobi, Larissa H. Oliveira and Diana Mendes. Their work appears in journals such as Engineering Applications of Artificial Intelligence, Mechanical Systems and Signal Processing, Journal of Energy Storage, Analog Integrated Circuits and Signal Processing and Evolutionary Computation.
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.