Leonardo Neumeyer

23 papers and 1.1k indexed citations i.

About

Leonardo Neumeyer is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Leonardo Neumeyer has authored 23 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 13 papers in Signal Processing and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Leonardo Neumeyer’s work include Speech Recognition and Synthesis (16 papers), Speech and Audio Processing (12 papers) and Natural Language Processing Techniques (7 papers). Leonardo Neumeyer is often cited by papers focused on Speech Recognition and Synthesis (16 papers), Speech and Audio Processing (12 papers) and Natural Language Processing Techniques (7 papers). Leonardo Neumeyer collaborates with scholars based in United States and Greece. Leonardo Neumeyer's co-authors include Vassilios Digalakis, Bruce Robbins, Anish Nair, Horacio Franco, M. Weintraub, Yoon Kim, P. Price, Stavros Tsakalidis, Patti Price and Fuliang Weng and has published in prestigious journals such as The Journal of the Acoustical Society of America, IEEE Journal on Selected Areas in Communications and Speech Communication.

In The Last Decade

Co-authorship network of co-authors of Leonardo Neumeyer i

Fields of papers citing papers by Leonardo Neumeyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Leonardo Neumeyer

Since Specialization
Citations

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