Andrew Carnes

4 papers and 17 indexed citations i.

About

Andrew Carnes is a scholar working on Nuclear and High Energy Physics, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Andrew Carnes has authored 4 papers receiving a total of 17 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Nuclear and High Energy Physics, 2 papers in Artificial Intelligence and 2 papers in Computer Networks and Communications. Recurrent topics in Andrew Carnes’s work include Particle Detector Development and Performance (3 papers), Particle physics theoretical and experimental studies (3 papers) and Computational Physics and Python Applications (2 papers). Andrew Carnes is often cited by papers focused on Particle Detector Development and Performance (3 papers), Particle physics theoretical and experimental studies (3 papers) and Computational Physics and Python Applications (2 papers). Andrew Carnes collaborates with scholars based in United States and Switzerland. Andrew Carnes's co-authors include D. Acosta, A. Brinkerhoff, Sergei Gleyzer, A. Madorsky, E. L. Busch, W. Shi, B. Scurlock, Jamal Rorie, J. F. Low and Khristian Kotov and has published in prestigious journals such as Journal of Physics Conference Series, CERN Document Server (European Organization for Nuclear Research) and CERN Document Server (European Organization for Nuclear Research).

In The Last Decade

Co-authorship network of co-authors of Andrew Carnes i

Fields of papers citing papers by Andrew Carnes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Andrew Carnes

Since Specialization
Citations

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