David Issa Mattos

13 papers and 56 indexed citations i.

About

David Issa Mattos is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, David Issa Mattos has authored 13 papers receiving a total of 56 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 4 papers in Information Systems and 2 papers in Computer Networks and Communications. Recurrent topics in David Issa Mattos’s work include Machine Learning and Data Classification (3 papers), Software Engineering Techniques and Practices (3 papers) and Software Engineering Research (2 papers). David Issa Mattos is often cited by papers focused on Machine Learning and Data Classification (3 papers), Software Engineering Techniques and Practices (3 papers) and Software Engineering Research (2 papers). David Issa Mattos collaborates with scholars based in Sweden, Germany and The Netherlands. David Issa Mattos's co-authors include Jan Bosch, Helena Holmström Olsson, Cecilia Jakobsson Bergstad, Colin McFarland, Ilias Gerostathopoulos and Jeffrey Wong and has published in prestigious journals such as IEEE Transactions on Evolutionary Computation, Behavior Research Methods and Transportation Research Part D Transport and Environment.

In The Last Decade

Co-authorship network of co-authors of David Issa Mattos i

Fields of papers citing papers by David Issa Mattos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Issa Mattos. 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 David Issa Mattos. The network helps show where David Issa Mattos may publish in the future.

Countries citing papers authored by David Issa Mattos

Since Specialization
Citations

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