Eitel J. M. Lauría

About

Eitel J. M. Lauría is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Eitel J. M. Lauría has authored 14 papers receiving a total of 365 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 5 papers in Computer Networks and Communications and 5 papers in Information Systems. Recurrent topics in Eitel J. M. Lauría’s work include Data Quality and Management (4 papers), Online Learning and Analytics (3 papers) and Data Mining Algorithms and Applications (3 papers). Eitel J. M. Lauría is often cited by papers focused on Data Quality and Management (4 papers), Online Learning and Analytics (3 papers) and Data Mining Algorithms and Applications (3 papers). Eitel J. M. Lauría collaborates with scholars based in United States and Argentina. Eitel J. M. Lauría's co-authors include Peter Duchessi, Joshua D. Baron, Erik W. Moody, Craig W. Fisher, James Melitski, Jay Bainbridge, C. Sarmiento‐Cano, Giri Kumar Tayi, Harold A. Singer and Ariel Jaitovich and has published in prestigious journals such as European Journal of Operational Research, Expert Systems with Applications and American Journal of Respiratory Cell and Molecular Biology.

In The Last Decade

Co-authorship network of co-authors of Eitel J. M. Lauría i

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Fields of papers citing papers by Eitel J. M. Lauría

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eitel J. M. Lauría. 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 Eitel J. M. Lauría. The network helps show where Eitel J. M. Lauría may publish in the future.

Countries citing papers authored by Eitel J. M. Lauría

Since Specialization

Citations

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