William J. Tolone

24 papers and 257 indexed citations i.

About

William J. Tolone is a scholar working on Artificial Intelligence, Information Systems and Management Information Systems. According to data from OpenAlex, William J. Tolone has authored 24 papers receiving a total of 257 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 7 papers in Information Systems and 6 papers in Management Information Systems. Recurrent topics in William J. Tolone’s work include Business Process Modeling and Analysis (6 papers), QoS-Aware Web Services Composition and Semantic Matching (5 papers) and Data Visualization and Analytics (4 papers). William J. Tolone is often cited by papers focused on Business Process Modeling and Analysis (6 papers), QoS-Aware Web Services Composition and Semantic Matching (5 papers) and Data Visualization and Analytics (4 papers). William J. Tolone collaborates with scholars based in United States, Egypt and Germany. William J. Tolone's co-authors include Gail‐Joon Ahn, Seng-Phil Hong, Yannis Labrou, Tim Finin, Yun Peng, Ashit Talukder, Bei-Tseng Chu, R. Scott Cost, William Ribarsky and Isaac Cho and has published in prestigious journals such as ACM Computing Surveys, CIRP Annals and Future Generation Computer Systems.

In The Last Decade

Co-authorship network of co-authors of William J. Tolone i

Fields of papers citing papers by William J. Tolone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William J. Tolone. 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 William J. Tolone. The network helps show where William J. Tolone may publish in the future.

Countries citing papers authored by William J. Tolone

Since Specialization
Citations

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