Daniel S. Dantas

4 papers and 64 indexed citations i.

About

Daniel S. Dantas is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Daniel S. Dantas has authored 4 papers receiving a total of 64 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Information Systems and 1 paper in Computer Networks and Communications. Recurrent topics in Daniel S. Dantas’s work include Advanced Software Engineering Methodologies (3 papers), Logic, programming, and type systems (2 papers) and Software Engineering Research (2 papers). Daniel S. Dantas is often cited by papers focused on Advanced Software Engineering Methodologies (3 papers), Logic, programming, and type systems (2 papers) and Software Engineering Research (2 papers). Daniel S. Dantas collaborates with scholars based in United States. Daniel S. Dantas's co-authors include David Walker, John Bicket, Bowei Du, Bing Zhou, Emin Gün Sirer, Rimon Barr, Geoffrey Washburn and Stephanie Weirich and has published in prestigious journals such as ACM SIGPLAN Notices, ACM Transactions on Programming Languages and Systems and ACM SIGOPS Operating Systems Review.

In The Last Decade

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

Fields of papers citing papers by Daniel S. Dantas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniel S. Dantas

Since Specialization
Citations

This map shows the geographic impact of Daniel S. Dantas'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. Dantas 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. Dantas 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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2025