Diane M. L. Mas

About

Diane M. L. Mas is a scholar working on Electrical and Electronic Engineering, Sociology and Political Science and Artificial Intelligence. According to data from OpenAlex, Diane M. L. Mas has authored 4 papers receiving a total of 314 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Electrical and Electronic Engineering, 1 paper in Sociology and Political Science and 1 paper in Artificial Intelligence. Recurrent topics in Diane M. L. Mas’s work include Machine Learning and Data Classification (1 paper), Energy Load and Power Forecasting (1 paper) and Water resources management and optimization (1 paper). Diane M. L. Mas is often cited by papers focused on Machine Learning and Data Classification (1 paper), Energy Load and Power Forecasting (1 paper) and Water resources management and optimization (1 paper). Diane M. L. Mas collaborates with scholars based in United States. Diane M. L. Mas's co-authors include David P. Ahlfeld, Steven C. Chapra, Victor J. Bierman, Hans W. Paerl, Charles Fant, L. Jantarasami, Kenneth Strzepek, Jim Henderson, David Mills and Brent Boehlert and has published in prestigious journals such as Environmental Science & Technology, Journal of Hydraulic Engineering and Hydrological Sciences Journal.

In The Last Decade

Co-authorship network of co-authors of Diane M. L. Mas i

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Fields of papers citing papers by Diane M. L. Mas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Diane M. L. Mas. 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 Diane M. L. Mas. The network helps show where Diane M. L. Mas may publish in the future.

Countries citing papers authored by Diane M. L. Mas

Since Specialization

Citations

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