Ricardo Sanz

2.5k citations
112 papers · 1.3k indexed · h-index 17

Ricardo Sanz

103 papers receiving 1.2k citations

Peers

Ricardo Sanz
Comparison fields: 5 of 129
  • Genetics 280
  • Control and Systems Engineering 343
  • Hardware and Architecture 84
  • Industrial and Manufacturing Engineering 122
  • Software 46
Replace Yilu Zhang with:
Yilu Zhang China
Juan J. Fuertes Spain
Jeong Geun Kim South Korea
Yan Duan China
Zhigang Mao China
Vincenzo Riccio Italy
Andrea Acquaviva Italy
Davide Barbieri Netherlands
Jeonghwan Gwak South Korea
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Citations per year

Countries citing papers authored by Ricardo Sanz

Since Specialization
Citations

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

Fields of papers citing papers by Ricardo Sanz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Ricardo Sanz, 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 Ricardo Sanz Line = papers co-authored together Ricardo Sanz links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 202410
3 20243
4 20245
5 20234
6 202319
7 20222
8 202116
9 20202
10
Consciousness and Understanding in Autonomous Systems.
20190
11 201812
12
Ontologies as Backbone of Cognitive Systems Engineering
20172
13
AUTONOMOUS ACQUISITION OF NATURAL LANGUAGE
20141
14
Reducing Behaviorism and Cognitivism.
20131
15
From Brains to Systems: Brain-Inspired Cognitive Systems 2010
20116
16 20116
17
Consciosusness in Cognitive Architectures. A Principled Analysis of RCS, Soar and ACT-R
20083
18
Self-awareness in real-time cognitive control architectures
20075
19
Introducción al control inteligente de procesos
19911
20
La disolución en el todo
19791

About Ricardo Sanz

Ricardo Sanz is a scholar working on Artificial Intelligence, Hardware and Architecture and Control and Systems Engineering, having authored 112 papers that have together received 1.3k indexed citations. Recurring topics across this work include AI-based Problem Solving and Planning (17 papers), Service-Oriented Architecture and Web Services (12 papers), Semantic Web and Ontologies (12 papers), Robotics and Automated Systems (11 papers), Advanced Software Engineering Methodologies (11 papers), Fault Detection and Control Systems (10 papers), Digital Transformation in Industry (9 papers) and Real-Time Systems Scheduling (7 papers). The work is most often cited by research in Genetics (280 citations), Control and Systems Engineering (343 citations) and Hardware and Architecture (84 citations). Ricardo Sanz has collaborated with scholars based in Spain, Netherlands and Ecuador. Frequent co-authors include Carlos Hernández, Julita Bermejo–Alonso, María Eugenia Fernández‐Santos, Francisco Fernández‐Avilés, María Jesús Peñarrubia, Luis de la Fuente, J. Alberto San Román, Carolina Hernández, Ana Sánchez and Pedro L. Sánchez. Their work appears in journals such as Applied Sciences, Annual Reviews in Control, Integrated Computer-Aided Engineering, Advances in experimental medicine and biology and IEEE Control Systems.

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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