Daylond Hooper

11 papers and 521 indexed citations i.

About

Daylond Hooper is a scholar working on Materials Chemistry, Artificial Intelligence and Mechanical Engineering. According to data from OpenAlex, Daylond Hooper has authored 11 papers receiving a total of 521 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Materials Chemistry, 3 papers in Artificial Intelligence and 3 papers in Mechanical Engineering. Recurrent topics in Daylond Hooper’s work include Carbon Nanotubes in Composites (4 papers), Graphene research and applications (3 papers) and Machine Learning in Materials Science (3 papers). Daylond Hooper is often cited by papers focused on Carbon Nanotubes in Composites (4 papers), Graphene research and applications (3 papers) and Machine Learning in Materials Science (3 papers). Daylond Hooper collaborates with scholars based in United States. Daylond Hooper's co-authors include Benji Maruyama, Pavel Nikolaev, Rahul Rao, Rick Barto, Michael Krein, Kevin Decker, Néstor Perea‐López, Mauricio Terrones, Jay I. Myung and James R. Deneault and has published in prestigious journals such as ACS Nano, The Journal of Physical Chemistry C and Scripta Materialia.

In The Last Decade

Co-authorship network of co-authors of Daylond Hooper i

Fields of papers citing papers by Daylond Hooper

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daylond Hooper

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025