Hugo de Garis

35 papers and 358 indexed citations i.

About

Hugo de Garis is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Control and Systems Engineering. According to data from OpenAlex, Hugo de Garis has authored 35 papers receiving a total of 358 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 13 papers in Computational Theory and Mathematics and 5 papers in Control and Systems Engineering. Recurrent topics in Hugo de Garis’s work include Evolutionary Algorithms and Applications (16 papers), Metaheuristic Optimization Algorithms Research (9 papers) and Cellular Automata and Applications (6 papers). Hugo de Garis is often cited by papers focused on Evolutionary Algorithms and Applications (16 papers), Metaheuristic Optimization Algorithms Research (9 papers) and Cellular Automata and Applications (6 papers). Hugo de Garis collaborates with scholars based in United States, China and Japan. Hugo de Garis's co-authors include Ben Goertzel, Ruiting Lian, Itamar Arel, Shuo Chen, Liang Zheng, Guang Chen, Hui Shi, Lixin Ding, Parris K. Egbert and Felix A. Gers and has published in prestigious journals such as IEEE Transactions on Evolutionary Computation, Neurocomputing and Applied Mathematics and Computation.

In The Last Decade

Co-authorship network of co-authors of Hugo de Garis i

Fields of papers citing papers by Hugo de Garis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hugo de Garis. 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 Hugo de Garis. The network helps show where Hugo de Garis may publish in the future.

Countries citing papers authored by Hugo de Garis

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025