Emmanuel Amaro

6 papers and 66 indexed citations i.

About

Emmanuel Amaro is a scholar working on Computer Vision and Pattern Recognition, Computer Science Applications and Artificial Intelligence. According to data from OpenAlex, Emmanuel Amaro has authored 6 papers receiving a total of 66 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 3 papers in Computer Science Applications and 2 papers in Artificial Intelligence. Recurrent topics in Emmanuel Amaro’s work include Mobile Crowdsensing and Crowdsourcing (3 papers), Image and Video Quality Assessment (3 papers) and Data Visualization and Analytics (2 papers). Emmanuel Amaro is often cited by papers focused on Mobile Crowdsensing and Crowdsourcing (3 papers), Image and Video Quality Assessment (3 papers) and Data Visualization and Analytics (2 papers). Emmanuel Amaro collaborates with scholars based in United States. Emmanuel Amaro's co-authors include Hadi Esmaeilzadeh, Jongse Park, Divya Mahajan, Joon Kyung Kim, Hardik Sharma, Amir Yazdanbakhsh, Bradley Thwaites, Nadav Amit, Marcos K. Aguilera and Dayeol Lee and has published in prestigious journals such as ACM SIGPLAN Notices, IEEE Micro and ACM SIGOPS Operating Systems Review.

In The Last Decade

Co-authorship network of co-authors of Emmanuel Amaro i

Fields of papers citing papers by Emmanuel Amaro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Emmanuel Amaro

Since Specialization
Citations

This map shows the geographic impact of Emmanuel Amaro'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 Emmanuel Amaro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emmanuel Amaro 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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2025