Nancy Arana‐Daniel

1.0k citations
91 papers · 682 indexed · h-index 14

Impact in

Papers in

Nancy Arana‐Daniel

81 papers receiving 650 citations

Peers

Nancy Arana‐Daniel
Comparison fields: 5 of 94
  • Control and Systems Engineering 358
  • Computer Vision and Pattern Recognition 232
  • Artificial Intelligence 167
  • Aerospace Engineering 78
  • Signal Processing 27
Replace Lutz Gröll with:
Lutz Gröll Germany
Jaime Pacheco Mexico
Jiyang Dai China
Maode Yan China
Genaro Ochoa Mexico
Tamer Inanc United States
Tae‐Yong Kuc South Korea
Xin Zuo China
Nur Syazreen Ahmad Malaysia
Nancy Arana‐Daniel relative to Lutz Gröll Germany Lutz Gröll's profile →
Citations per field
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Lutz Gröll · 1×
Citations per year

Countries citing papers authored by Nancy Arana‐Daniel

Since Specialization
Citations

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

Fields of papers citing papers by Nancy Arana‐Daniel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nancy Arana‐Daniel. 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 Nancy Arana‐Daniel. The network helps show where Nancy Arana‐Daniel may publish in the future.

Co-authors

The 16 scholars most cited alongside Nancy Arana‐Daniel, 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 Nancy Arana‐Daniel Line = papers co-authored together Nancy Arana‐Daniel links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20240
4 20231
5 20221
6 202112
7 20214
8 20208
9 20200
10 202015
11 20204
12 20198
13 20182
14 20183
15 201713
16 201515
17 201511
18 20158
19 20147
20 20137

About Nancy Arana‐Daniel

Nancy Arana‐Daniel is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition, Applied Mathematics, Media Technology and Artificial Intelligence, having authored 91 papers that have together received 682 indexed citations. Recurring topics across this work include Adaptive Control of Nonlinear Systems (27 papers), Robotic Path Planning Algorithms (15 papers), Neural Networks and Applications (14 papers), Robotics and Sensor-Based Localization (13 papers), Control and Dynamics of Mobile Robots (10 papers), Robotic Mechanisms and Dynamics (9 papers), Algebraic and Geometric Analysis (8 papers) and Distributed Control Multi-Agent Systems (8 papers). The work is most often cited by research in Control and Systems Engineering (358 citations), Computer Vision and Pattern Recognition (232 citations), Artificial Intelligence (167 citations), Aerospace Engineering (78 citations) and Signal Processing (27 citations). Nancy Arana‐Daniel has collaborated with scholars based in Mexico, Germany and France. Frequent co-authors include Carlos López-Franco, Alma Y. Alanís, Eduardo Bayro–Corrochano, Jorge D. Rios, Edgar N. Sánchez, Emmanuel Nuño, Luis Basañez, Jorge Rivera, Esteban A. Hernandez‐Vargas and J. Alejandro Morales. Their work appears in journals such as Applied Sciences, Neurocomputing, PeerJ Computer Science, Electronics and Journal of Mathematical Imaging and Vision.

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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