Newton Spolaôr

20 papers and 550 indexed citations i.

About

Newton Spolaôr is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Newton Spolaôr has authored 20 papers receiving a total of 550 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 6 papers in Molecular Biology. Recurrent topics in Newton Spolaôr’s work include Text and Document Classification Technologies (5 papers), AI in cancer detection (3 papers) and Machine Learning and Data Classification (3 papers). Newton Spolaôr is often cited by papers focused on Text and Document Classification Technologies (5 papers), AI in cancer detection (3 papers) and Machine Learning and Data Classification (3 papers). Newton Spolaôr collaborates with scholars based in Brazil, Portugal and Greece. Newton Spolaôr's co-authors include Huei Lee, Maria Carolina Monard, Everton Alvares Cherman, Fabiane Barreto Vavassori Benitti, Feng Chung Wu, Ana Carolina Lorena, Grigorios Tsoumakas, Cláudio Saddy Rodrigues Coy, Marcílio C. P. de Souto and Renato Anghinah and has published in prestigious journals such as Expert Systems with Applications, Computers & Education and Clinical Neurophysiology.

In The Last Decade

Co-authorship network of co-authors of Newton Spolaôr i

Fields of papers citing papers by Newton Spolaôr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Newton Spolaôr

Since Specialization
Citations

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