Erik Zamora

618 total citations
25 papers, 394 citations indexed

About

Erik Zamora is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Erik Zamora has authored 25 papers receiving a total of 394 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 11 papers in Artificial Intelligence and 8 papers in Aerospace Engineering. Recurrent topics in Erik Zamora's work include Neural Networks and Applications (9 papers), Robotics and Sensor-Based Localization (7 papers) and Face and Expression Recognition (6 papers). Erik Zamora is often cited by papers focused on Neural Networks and Applications (9 papers), Robotics and Sensor-Based Localization (7 papers) and Face and Expression Recognition (6 papers). Erik Zamora collaborates with scholars based in Mexico, France and Ecuador. Erik Zamora's co-authors include Humberto Sossa, Gerardo Hernández, Wen Yu, David Balderas, Luis Arturo Soriano, A. Soria, Rogelio Lozano, I. González-Hernández, Juan Irving Vasquez-Gomez and Fernando Terán Arce and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and Neurocomputing.

In The Last Decade

Erik Zamora

25 papers receiving 386 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Erik Zamora Mexico 9 160 106 91 53 53 25 394
Changyun Wei China 12 123 0.8× 160 1.5× 89 1.0× 46 0.9× 94 1.8× 45 508
Zenglong Peng China 4 95 0.6× 63 0.6× 86 0.9× 34 0.6× 22 0.4× 13 309
Saleh Zein-Sabatto United States 11 136 0.8× 58 0.5× 110 1.2× 47 0.9× 41 0.8× 59 383
Hao Fang China 8 45 0.3× 61 0.6× 114 1.3× 29 0.5× 55 1.0× 29 347
R. Salomon Germany 8 150 0.9× 94 0.9× 77 0.8× 56 1.1× 40 0.8× 17 409
Muxuan Han China 8 164 1.0× 46 0.4× 60 0.7× 76 1.4× 25 0.5× 11 351
Shuai Lü China 10 160 1.0× 95 0.9× 50 0.5× 58 1.1× 31 0.6× 56 362
Michael S. Gashler United States 8 161 1.0× 108 1.0× 72 0.8× 73 1.4× 22 0.4× 16 392
Dawei Zhao China 13 279 1.7× 286 2.7× 95 1.0× 24 0.5× 72 1.4× 51 525
Neng‐Sheng Pai Taiwan 12 91 0.6× 160 1.5× 145 1.6× 47 0.9× 26 0.5× 64 527

Countries citing papers authored by Erik Zamora

Since Specialization
Citations

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

Fields of papers citing papers by Erik Zamora

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Erik Zamora. 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 Erik Zamora. The network helps show where Erik Zamora may publish in the future.

Co-authorship network of co-authors of Erik Zamora

This figure shows the co-authorship network connecting the top 25 collaborators of Erik Zamora. A scholar is included among the top collaborators of Erik Zamora 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 Erik Zamora. Erik Zamora 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.
2.
Zamora, Erik, et al.. (2024). Detection and Classification of Agave angustifolia Haw Using Deep Learning Models. Agriculture. 14(12). 2199–2199. 2 indexed citations
3.
Zamora, Erik, et al.. (2024). Facial expression analysis in children with autism spectrum disorder using a refined Human-Robot-Game platform for active learning. Behaviour and Information Technology. 44(13). 3152–3164. 2 indexed citations
4.
Vasquez-Gomez, Juan Irving, et al.. (2022). Spiral Trajectories for Building Inspection with Quadrotors. 891–896. 3 indexed citations
5.
Zamora, Erik, et al.. (2022). Orientation Modeling Using Quaternions and Rational Trigonometry. Machines. 10(9). 749–749. 3 indexed citations
6.
Soriano, Luis Arturo, et al.. (2020). PD Control Compensation Based on a Cascade Neural Network Applied to a Robot Manipulator. Frontiers in Neurorobotics. 14. 577749–577749. 76 indexed citations
7.
Hernández, Gerardo, et al.. (2019). Hybrid neural networks for big data classification. Neurocomputing. 390. 327–340. 85 indexed citations
8.
Zamora, Erik, et al.. (2019). Fully Convolutional Networks for Automatic Pavement Crack Segmentation. Computación y Sistemas. 23(2). 41 indexed citations
9.
Zamora, Erik, et al.. (2019). PD+SMC Quadrotor Control for Altitude and Crack Recognition Using Deep Learning. International Journal of Control Automation and Systems. 18(4). 834–844. 24 indexed citations
10.
Zamora, Erik, et al.. (2019). Efficient FPGA Hardware Implementation for Robot Manipulator Kinematic Modeling Using Rational Trigonometry. IEEE Latin America Transactions. 17(9). 1524–1536. 4 indexed citations
11.
Zamora, Erik, et al.. (2018). Dendrite ellipsoidal neurons based on k-means optimization. Evolving Systems. 10(3). 381–396. 11 indexed citations
12.
Zamora, Erik, et al.. (2018). Differential evolution training algorithm for dendrite morphological neural networks. Applied Soft Computing. 68. 303–313. 37 indexed citations
13.
Yu, Wen, et al.. (2018). Sliding Mode SLAM for Robust Simultaneous Localization and Mapping. 34. 5674–5679. 1 indexed citations
14.
Zamora, Erik, et al.. (2017). Dendrite Ellipsoidal Neuron. 17. 795–802. 5 indexed citations
15.
Zamora, Erik & Humberto Sossa. (2017). Dendrite morphological neurons trained by stochastic gradient descent. Neurocomputing. 260. 420–431. 26 indexed citations
16.
Zamora, Erik, et al.. (2017). EFFICIENT LANE DETECTION BASED ON ARTIFICIAL NEURAL NETWORKS. SHILAP Revista de lepidopterología. IV-4/W3. 13–19. 5 indexed citations
17.
Zamora, Erik & Humberto Sossa. (2016). Dendrite morphological neurons trained by stochastic gradient descent. 7700. 1–8. 3 indexed citations
18.
Zamora, Erik & Wen Yu. (2016). Novel Autonomous Navigation Algorithms in Dynamic and Unknown Environments. Cybernetics & Systems. 47(7). 523–543. 5 indexed citations
19.
Zamora, Erik, et al.. (2016). Dendrite Morphological Neural Networks trained by Differential Evolution. 1–8. 8 indexed citations
20.
Zamora, Erik & Wen Yu. (2014). Novel autonomous navigation algorithms in dynamic and unknown environments. 1276–1281. 1 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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