Miguel Á. Salichs

105 papers and 1.3k indexed citations i.

About

Miguel Á. Salichs is a scholar working on Artificial Intelligence, Social Psychology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Miguel Á. Salichs has authored 105 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Artificial Intelligence, 44 papers in Social Psychology and 37 papers in Computer Vision and Pattern Recognition. Recurrent topics in Miguel Á. Salichs’s work include Social Robot Interaction and HRI (39 papers), Robotic Path Planning Algorithms (22 papers) and Reinforcement Learning in Robotics (19 papers). Miguel Á. Salichs is often cited by papers focused on Social Robot Interaction and HRI (39 papers), Robotic Path Planning Algorithms (22 papers) and Reinforcement Learning in Robotics (19 papers). Miguel Á. Salichs collaborates with scholars based in Spain, France and United States. Miguel Á. Salichs's co-authors include María Malfáz, Luís Moreno, Arturo de la Escalera, José María Armingol, Álvaro Castro‐González, Fernándo Alonso-Martín, José Carlos Castillo, Ramón Barber, F. Córcoles and Luis Sainz and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, Expert Systems with Applications and Sensors.

In The Last Decade

Co-authorship network of co-authors of Miguel Á. Salichs i

Fields of papers citing papers by Miguel Á. Salichs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Miguel Á. Salichs. 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 Miguel Á. Salichs. The network helps show where Miguel Á. Salichs may publish in the future.

Countries citing papers authored by Miguel Á. Salichs

Since Specialization
Citations

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

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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