Asa MacWilliams

4 papers and 40 indexed citations i.

About

Asa MacWilliams is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Asa MacWilliams has authored 4 papers receiving a total of 40 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Computer Vision and Pattern Recognition, 1 paper in Artificial Intelligence and 1 paper in Computer Networks and Communications. Recurrent topics in Asa MacWilliams’s work include Context-Aware Activity Recognition Systems (2 papers), Advanced Software Engineering Methodologies (1 paper) and Microtubule and mitosis dynamics (1 paper). Asa MacWilliams is often cited by papers focused on Context-Aware Activity Recognition Systems (2 papers), Advanced Software Engineering Methodologies (1 paper) and Microtubule and mitosis dynamics (1 paper). Asa MacWilliams collaborates with scholars based in Germany, Italy and Canada. Asa MacWilliams's co-authors include Andreas Butz, Christoph Endres, Bernd Bruegge, D. Roller, Adriano Ceccarelli, Adrian Tsang, Gareth Bloomfield and Harry K. MacWilliams and has published in prestigious journals such as PLoS ONE, Mobile Information Systems and IEEE Distributed Systems Online.

In The Last Decade

Co-authorship network of co-authors of Asa MacWilliams i

Fields of papers citing papers by Asa MacWilliams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Asa MacWilliams

Since Specialization
Citations

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