Michael S. Gashler

17 papers and 321 indexed citations i.

About

Michael S. Gashler is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Michael S. Gashler has authored 17 papers receiving a total of 321 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 5 papers in Signal Processing. Recurrent topics in Michael S. Gashler’s work include Neural Networks and Applications (11 papers), Time Series Analysis and Forecasting (4 papers) and Evolutionary Algorithms and Applications (3 papers). Michael S. Gashler is often cited by papers focused on Neural Networks and Applications (11 papers), Time Series Analysis and Forecasting (4 papers) and Evolutionary Algorithms and Applications (3 papers). Michael S. Gashler collaborates with scholars based in United States, Germany and Hungary. Michael S. Gashler's co-authors include Harry A. Pierson, Tony Martinez, Dan Ventura, Richard G. Morris, Michael Smith, Владик Крейнович, Gabor Csiszár and Michael R. Smith and has published in prestigious journals such as IEEE Transactions on Neural Networks and Learning Systems, Neurocomputing and Journal of Machine Learning Research.

In The Last Decade

Co-authorship network of co-authors of Michael S. Gashler i

Fields of papers citing papers by Michael S. Gashler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael S. Gashler. 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 Michael S. Gashler. The network helps show where Michael S. Gashler may publish in the future.

Countries citing papers authored by Michael S. Gashler

Since Specialization
Citations

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