Nancy Arana‐Daniel

1.0k total citations
91 papers, 682 citations indexed

About

Nancy Arana‐Daniel is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Nancy Arana‐Daniel has authored 91 papers receiving a total of 682 indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Control and Systems Engineering, 33 papers in Computer Vision and Pattern Recognition and 24 papers in Artificial Intelligence. Recurrent topics in Nancy Arana‐Daniel's work include Adaptive Control of Nonlinear Systems (27 papers), Robotic Path Planning Algorithms (15 papers) and Neural Networks and Applications (14 papers). Nancy Arana‐Daniel is often cited by papers focused on Adaptive Control of Nonlinear Systems (27 papers), Robotic Path Planning Algorithms (15 papers) and Neural Networks and Applications (14 papers). Nancy Arana‐Daniel collaborates with scholars based in Mexico, Germany and France. Nancy Arana‐Daniel's co-authors include Carlos López-Franco, Alma Y. Alanís, Eduardo Bayro–Corrochano, Jorge D. Rios, Edgar N. Sánchez, Luis Basañez, Emmanuel Nuño, Esteban A. Hernandez‐Vargas, Jorge Rivera and J. Alejandro Morales and has published in prestigious journals such as Sensors, Neurocomputing and Journal of the Franklin Institute.

In The Last Decade

Nancy Arana‐Daniel

81 papers receiving 650 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Nancy Arana‐Daniel Mexico 14 358 232 167 85 84 91 682
Carlos López-Franco Mexico 14 344 1.0× 216 0.9× 137 0.8× 79 0.9× 85 1.0× 84 576
Xianqiang Yang China 22 683 1.9× 233 1.0× 207 1.2× 116 1.4× 72 0.9× 64 1.1k
Lutz Gröll Germany 14 351 1.0× 366 1.6× 224 1.3× 44 0.5× 79 0.9× 72 985
Grady Williams United States 8 427 1.2× 307 1.3× 228 1.4× 47 0.6× 67 0.8× 10 838
Chia‐Ju Wu Taiwan 16 391 1.1× 187 0.8× 214 1.3× 51 0.6× 55 0.7× 65 709
Miguel Gabriel Villarreal-Cervantes Mexico 15 433 1.2× 118 0.5× 194 1.2× 116 1.4× 80 1.0× 74 708
Xianfeng Yuan China 15 333 0.9× 195 0.8× 360 2.2× 119 1.4× 70 0.8× 68 875
Paul Drews United States 7 313 0.9× 215 0.9× 199 1.2× 35 0.4× 52 0.6× 11 662
Jaime Pacheco Mexico 19 521 1.5× 117 0.5× 273 1.6× 92 1.1× 73 0.9× 59 963
Brian Goldfain United States 7 316 0.9× 215 0.9× 184 1.1× 34 0.4× 47 0.6× 7 625

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-authorship network of co-authors of Nancy Arana‐Daniel

This figure shows the co-authorship network connecting the top 25 collaborators of Nancy Arana‐Daniel. A scholar is included among the top collaborators of Nancy Arana‐Daniel 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 Nancy Arana‐Daniel. Nancy Arana‐Daniel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
López-Franco, Carlos, et al.. (2025). Auto-compression transfer learning methodology for deep convolutional neural networks. Neurocomputing. 630. 129661–129661. 1 indexed citations
2.
López-Franco, Carlos, et al.. (2025). Improving Moving Insect Detection with Difference of Features Maps in YOLO Architecture. Applied Sciences. 15(14). 7697–7697.
4.
López-Franco, Carlos, et al.. (2023). Order-Based Schedule of Dynamic Topology for Recurrent Neural Network. Algorithms. 16(5). 231–231. 1 indexed citations
5.
López-Franco, Carlos, et al.. (2022). Neuroplasticity-Based Pruning Method for Deep Convolutional Neural Networks. Applied Sciences. 12(10). 4945–4945. 1 indexed citations
6.
Rios, Jorge D., et al.. (2021). Adaptive neural PD controllers for mobile manipulator trajectory tracking. PeerJ Computer Science. 7. e393–e393. 4 indexed citations
7.
López-Franco, Carlos, et al.. (2021). Inverse kinematics for cooperative mobile manipulators based on self-adaptive differential evolution. PeerJ Computer Science. 7. e419–e419. 12 indexed citations
8.
Rios, Jorge D., et al.. (2020). Adaptive Single Neuron Anti-Windup PID Controller Based on the Extended Kalman Filter Algorithm. Electronics. 9(4). 636–636. 15 indexed citations
9.
Alanís, Alma Y., et al.. (2020). Semantic Segmentation for Aerial Mapping. Mathematics. 8(9). 1456–1456. 4 indexed citations
10.
Rios, Jorge D., Alma Y. Alanís, Nancy Arana‐Daniel, & Carlos López-Franco. (2020). Real‐time neural observer‐based controller for unknown nonlinear discrete delayed systems. International Journal of Robust and Nonlinear Control. 30(18). 8402–8429. 5 indexed citations
11.
López-Franco, Carlos, et al.. (2019). Dual-arm cooperative manipulation based on differential evolution. International Journal of Advanced Robotic Systems. 16(1). 8 indexed citations
12.
Arana‐Daniel, Nancy, et al.. (2018). Multiellipsoidal Mapping Algorithm. Applied Sciences. 8(8). 1239–1239. 2 indexed citations
13.
Rios, Jorge D., et al.. (2017). Germinal Center Optimization Applied to Neural Inverse Optimal Control for an All-Terrain Tracked Robot. Applied Sciences. 8(1). 31–31. 13 indexed citations
14.
Rios, Jorge D., Alma Y. Alanís, Carlos López-Franco, & Nancy Arana‐Daniel. (2017). RHONN identifier-control scheme for nonlinear discrete-time systems with unknown time-delays. Journal of the Franklin Institute. 355(1). 218–249. 14 indexed citations
15.
Sánchez, Edgar N., et al.. (2015). Decentralized control for stabilization of nonlinear multi-agent systems using neural inverse optimal control. Neurocomputing. 168. 81–91. 11 indexed citations
16.
Alanís, Alma Y., Jorge D. Rios, Jorge Rivera, Nancy Arana‐Daniel, & Carlos López-Franco. (2015). Real-time discrete neural control applied to a Linear Induction Motor. Neurocomputing. 164. 240–251. 15 indexed citations
17.
López-Franco, Carlos, et al.. (2015). Real-Time Inverse Optimal Neural Control for Image Based Visual Servoing with Nonholonomic Mobile Robots. Mathematical Problems in Engineering. 2015. 1–12. 8 indexed citations
18.
López-Franco, Carlos, et al.. (2014). Image Classification Using PSO‐SVM and an RGB‐D Sensor. Mathematical Problems in Engineering. 2014(1). 7 indexed citations
19.
Alanís, Alma Y., et al.. (2014). Inverse Optimal Control with Speed Gradient for a Power Electric System Using a Neural Reduced Model. Mathematical Problems in Engineering. 2014(1). 5 indexed citations
20.
Alanís, Alma Y., et al.. (2013). Particle Swarm Based Approach of a Real-Time Discrete Neural Identifier for Linear Induction Motors. Mathematical Problems in Engineering. 2013. 1–9. 7 indexed citations

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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