James J. Sharp

54 papers and 404 indexed citations i.

About

James J. Sharp is a scholar working on Civil and Structural Engineering, Artificial Intelligence and Ecology. According to data from OpenAlex, James J. Sharp has authored 54 papers receiving a total of 404 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Civil and Structural Engineering, 9 papers in Artificial Intelligence and 9 papers in Ecology. Recurrent topics in James J. Sharp’s work include Hydrology and Sediment Transport Processes (9 papers), Water Systems and Optimization (9 papers) and Adversarial Robustness in Machine Learning (8 papers). James J. Sharp is often cited by papers focused on Hydrology and Sediment Transport Processes (9 papers), Water Systems and Optimization (9 papers) and Adversarial Robustness in Machine Learning (8 papers). James J. Sharp collaborates with scholars based in Canada, United Kingdom and United States. James J. Sharp's co-authors include Xiaowei Huang, Youcheng Sun, Daniel Kroening, Wenjie Ruan, Xinping Yi, Min Wu, Trimbak M. Parchure, Matthew Q. Hill, Rob Ashmore and A. S. J. Swamidas and has published in prestigious journals such as Fuel, Journal of the Franklin Institute and Advances in Water Resources.

In The Last Decade

Co-authorship network of co-authors of James J. Sharp i

Fields of papers citing papers by James J. Sharp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by James J. Sharp

Since Specialization
Citations

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