Marco A. Contreras-Cruz

451 citations
13 papers · 330 indexed · h-index 7

Marco A. Contreras-Cruz

12 papers receiving 316 citations

Peers

Marco A. Contreras-Cruz
Comparison fields: 5 of 51
  • Computer Vision and Pattern Recognition 232
  • Control and Systems Engineering 110
  • Aerospace Engineering 83
  • Industrial and Manufacturing Engineering 33
  • Artificial Intelligence 95
Replace Uriel H. Hernandez-Belmonte with:
Uriel H. Hernandez-Belmonte Mexico
Theodore W. Manikas United States
Venkatraman Narayanan United States
Changwei Miao China
Ryan Luna United States
Fatin Hassan Ajeil Iraq
Ee Soong Low Malaysia
Mikko Lauri Germany
Konstantin Yakovlev Russia
Marco A. Contreras-Cruz relative to Uriel H. Hernandez-Belmonte Mexico Uriel H. Hernandez-Belmonte's profile →
Citations per field
00.5×1.5×1.8×
Uriel H. Hernandez-Belmonte · 1×
Citations per year

Countries citing papers authored by Marco A. Contreras-Cruz

Since Specialization
Citations

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

Fields of papers citing papers by Marco A. Contreras-Cruz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marco A. Contreras-Cruz. 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 Marco A. Contreras-Cruz. The network helps show where Marco A. Contreras-Cruz may publish in the future.

Co-authorship network

The 6 scholars most cited alongside Marco A. Contreras-Cruz, 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 Marco A. Contreras-Cruz Line = papers co-authored together Marco A. Contreras-Cruz links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 20239
2 20231
3 202223
4 202217
5 20222
6 20202
7 20204
8 20197
9 20191
10 20196
11 201811
12 201710
13 2015237

About Marco A. Contreras-Cruz

Marco A. Contreras-Cruz is a scholar working on Sensory Systems, Computer Vision and Pattern Recognition and Endocrinology, having authored 13 papers that have together received 330 indexed citations. Recurring topics across this work include Visual Attention and Saliency Detection (3 papers), Olfactory and Sensory Function Studies (3 papers), Robotic Path Planning Algorithms (3 papers), Generative Adversarial Networks and Image Synthesis (2 papers), Advanced Image and Video Retrieval Techniques (2 papers), Distributed Control Multi-Agent Systems (2 papers), Anomaly Detection Techniques and Applications (2 papers) and Robotics and Sensor-Based Localization (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (232 citations), Control and Systems Engineering (110 citations) and Aerospace Engineering (83 citations). Marco A. Contreras-Cruz has collaborated with scholars based in Mexico, United States and United Kingdom. Frequent co-authors include Víctor Ayala-Ramírez, Uriel H. Hernandez-Belmonte, Dario J. Villarreal, Raúl E. Sánchez-Yáñez, Gabriela Ochoa and Pilar Arroyo. Their work appears in journals such as Sensors, Applied Soft Computing and Applied Sciences.

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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