David Salinas

27 papers and 1.5k indexed citations i.

About

David Salinas is a scholar working on Artificial Intelligence, Mechanical Engineering and Management Science and Operations Research. According to data from OpenAlex, David Salinas has authored 27 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 8 papers in Mechanical Engineering and 5 papers in Management Science and Operations Research. Recurrent topics in David Salinas’s work include Forecasting Techniques and Applications (5 papers), Time Series Analysis and Forecasting (4 papers) and Metal Forming Simulation Techniques (3 papers). David Salinas is often cited by papers focused on Forecasting Techniques and Applications (5 papers), Time Series Analysis and Forecasting (4 papers) and Metal Forming Simulation Techniques (3 papers). David Salinas collaborates with scholars based in United States, Germany and France. David Salinas's co-authors include Tim Januschowski, Valentín Flunkert, Jan Gasthaus, Sebastian Schelter, Laurent Callot, Yasuaki Ito, Dominique Attali, Michael Bohlke‐Schneider, André Lieutier and Matthias Seeger and has published in prestigious journals such as Journal of Applied Mechanics, ACM Computing Surveys and Journal of Machine Learning Research.

In The Last Decade

Co-authorship network of co-authors of David Salinas i

Fields of papers citing papers by David Salinas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by David Salinas

Since Specialization
Citations

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