Roger Miranda‐Colorado

610 citations
28 papers · 483 indexed · h-index 14

Roger Miranda‐Colorado

26 papers receiving 469 citations

Peers

Roger Miranda‐Colorado
Comparison fields: 5 of 31
  • Control and Systems Engineering 431
  • Automotive Engineering 55
  • Computer Vision and Pattern Recognition 68
  • Computer Networks and Communications 75
  • Aerospace Engineering 73
Replace Mingyue Cui with:
Mingyue Cui China
Shumin Fei China
Caihong Zhang China
Mario Ramírez‐Neria Mexico
Chala Merga Abdissa Ethiopia
María‐Eusebia Guerrero‐Sánchez Mexico
Zhuang Liu China
Ricardo Sanz Spain
Farès Boudjema Algeria
Roger Miranda‐Colorado relative to Mingyue Cui China Mingyue Cui's profile →
Citations per field
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Mingyue Cui · 1×
Citations per year

Countries citing papers authored by Roger Miranda‐Colorado

Since Specialization
Citations

This map shows the geographic impact of Roger Miranda‐Colorado'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 Roger Miranda‐Colorado with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roger Miranda‐Colorado more than expected).

Fields of papers citing papers by Roger Miranda‐Colorado

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Roger Miranda‐Colorado. 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 Roger Miranda‐Colorado. The network helps show where Roger Miranda‐Colorado may publish in the future.

Co-authorship network

The 7 scholars most cited alongside Roger Miranda‐Colorado, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Roger Miranda‐Colorado Line = papers co-authored together Roger Miranda‐Colorado links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20251
4 20250
5 20247
6 20246
7 20241
8 202411
9 202319
10 20237
11 20232
12 202113
13 201931
14 201989
15 201814
16 201737
17 201717
18 201713
19 20179
20 201631

About Roger Miranda‐Colorado

Roger Miranda‐Colorado is a scholar working on Control and Systems Engineering, Automotive Engineering and Statistical and Nonlinear Physics, having authored 28 papers that have together received 483 indexed citations. Recurring topics across this work include Adaptive Control of Nonlinear Systems (18 papers), Control and Dynamics of Mobile Robots (9 papers), Vehicle Dynamics and Control Systems (6 papers), Dynamics and Control of Mechanical Systems (6 papers), Control Systems and Identification (5 papers), Iterative Learning Control Systems (4 papers), Robotic Path Planning Algorithms (3 papers) and Advanced Control Systems Optimization (3 papers). The work is most often cited by research in Control and Systems Engineering (431 citations), Automotive Engineering (55 citations) and Computer Vision and Pattern Recognition (68 citations). Roger Miranda‐Colorado has collaborated with scholars based in Mexico and Puerto Rico. Frequent co-authors include Luis T. Aguilar, Javier Moreno–Valenzuela, Ricardo Pérez‐Alcocer, Carlos Aguilar-Avelar, Nohé R. Cázarez-Castro, Raúl Villafuerte‐Segura and Diego Mercado-Ravell. Their work appears in journals such as Mechanical Systems and Signal Processing, Applied Mathematics and Computation and International Journal of Control.

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.

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