Daniel S. Graça

26 papers and 222 indexed citations i.

About

Daniel S. Graça is a scholar working on Computational Theory and Mathematics, Mathematical Physics and Artificial Intelligence. According to data from OpenAlex, Daniel S. Graça has authored 26 papers receiving a total of 222 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computational Theory and Mathematics, 7 papers in Mathematical Physics and 6 papers in Artificial Intelligence. Recurrent topics in Daniel S. Graça’s work include Computability, Logic, AI Algorithms (24 papers), Cellular Automata and Applications (14 papers) and semigroups and automata theory (9 papers). Daniel S. Graça is often cited by papers focused on Computability, Logic, AI Algorithms (24 papers), Cellular Automata and Applications (14 papers) and semigroups and automata theory (9 papers). Daniel S. Graça collaborates with scholars based in Portugal, United States and France. Daniel S. Graça's co-authors include Jorge Buescu, José Félix Costa, Manuel L. Campagnolo, Ning Zhong, Olivier Bournez, Pieter Collins, H. Scott Dumas and Cristóbal Rojas and has published in prestigious journals such as Journal of the ACM, Transactions of the American Mathematical Society and Applied Mathematics and Computation.

In The Last Decade

Co-authorship network of co-authors of Daniel S. Graça i

Fields of papers citing papers by Daniel S. Graça

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel S. Graça. 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 Daniel S. Graça. The network helps show where Daniel S. Graça may publish in the future.

Countries citing papers authored by Daniel S. Graça

Since Specialization
Citations

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