James Michaelis

22 papers and 138 indexed citations i.

About

James Michaelis is a scholar working on Computer Networks and Communications, Artificial Intelligence and Information Systems and Management. According to data from OpenAlex, James Michaelis has authored 22 papers receiving a total of 138 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Networks and Communications, 10 papers in Artificial Intelligence and 9 papers in Information Systems and Management. Recurrent topics in James Michaelis’s work include Scientific Computing and Data Management (8 papers), Data Quality and Management (6 papers) and Semantic Web and Ontologies (6 papers). James Michaelis is often cited by papers focused on Scientific Computing and Data Management (8 papers), Data Quality and Management (6 papers) and Semantic Web and Ontologies (6 papers). James Michaelis collaborates with scholars based in United States, Germany and Italy. James Michaelis's co-authors include Deborah L. McGuinness, Li Ding, James Hendler, Alvaro Graves, Xian Li, Dominic DiFranzo, John Erickson, Jin Zheng, Timothy Lebo and Gregory Todd Williams and has published in prestigious journals such as Future Generation Computer Systems, Lecture notes in computer science and arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of James Michaelis i

Fields of papers citing papers by James Michaelis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by James Michaelis

Since Specialization
Citations

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