Arturo López Pineda

14 papers and 296 indexed citations i.

About

Arturo López Pineda is a scholar working on Artificial Intelligence, Molecular Biology and Epidemiology. According to data from OpenAlex, Arturo López Pineda has authored 14 papers receiving a total of 296 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 5 papers in Molecular Biology and 5 papers in Epidemiology. Recurrent topics in Arturo López Pineda’s work include Anomaly Detection Techniques and Applications (3 papers), Data-Driven Disease Surveillance (3 papers) and Biomedical Text Mining and Ontologies (3 papers). Arturo López Pineda is often cited by papers focused on Anomaly Detection Techniques and Applications (3 papers), Data-Driven Disease Surveillance (3 papers) and Biomedical Text Mining and Ontologies (3 papers). Arturo López Pineda collaborates with scholars based in United States, Mexico and China. Arturo López Pineda's co-authors include James Zou, Brandon Arnieri, Shyam Visweswaran, Ying Lü, Michael W. Lu, Ruishan Liu, Ryan Copping, Navdeep Pal, Shemra Rizzo and William B. Capra and has published in prestigious journals such as Nature, PLoS ONE and BMC Cancer.

In The Last Decade

Co-authorship network of co-authors of Arturo López Pineda i

Fields of papers citing papers by Arturo López Pineda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Arturo López Pineda. 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 Arturo López Pineda. The network helps show where Arturo López Pineda may publish in the future.

Countries citing papers authored by Arturo López Pineda

Since Specialization
Citations

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