Daniel Garcia-Romero

45 papers and 2.3k indexed citations i.

About

Daniel Garcia-Romero is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Daniel Garcia-Romero has authored 45 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Signal Processing, 39 papers in Artificial Intelligence and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Daniel Garcia-Romero’s work include Speech Recognition and Synthesis (39 papers), Speech and Audio Processing (37 papers) and Music and Audio Processing (29 papers). Daniel Garcia-Romero is often cited by papers focused on Speech Recognition and Synthesis (39 papers), Speech and Audio Processing (37 papers) and Music and Audio Processing (29 papers). Daniel Garcia-Romero collaborates with scholars based in United States, Spain and United Kingdom. Daniel Garcia-Romero's co-authors include Carol Espy-Wilson, David Snyder, Daniel Povey, Sanjeev Khudanpur, Gregory Sell, Alan McCree, Yishay Carmiel, Pegah Ghahremani, Niko Brümmer and Julián Fiérrez and has published in prestigious journals such as The Journal of the Acoustical Society of America, Pattern Recognition and Pattern Recognition Letters.

In The Last Decade

Co-authorship network of co-authors of Daniel Garcia-Romero i

Fields of papers citing papers by Daniel Garcia-Romero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Garcia-Romero. 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 Daniel Garcia-Romero. The network helps show where Daniel Garcia-Romero may publish in the future.

Countries citing papers authored by Daniel Garcia-Romero

Since Specialization
Citations

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