Daniel R. Moore

7 papers and 345 indexed citations i.

About

Daniel R. Moore is a scholar working on Computer Networks and Communications, Computational Mechanics and Sociology and Political Science. According to data from OpenAlex, Daniel R. Moore has authored 7 papers receiving a total of 345 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Networks and Communications, 3 papers in Computational Mechanics and 1 paper in Sociology and Political Science. Recurrent topics in Daniel R. Moore’s work include Nonlinear Dynamics and Pattern Formation (4 papers), Fluid Dynamics and Turbulent Flows (3 papers) and Distributed and Parallel Computing Systems (1 paper). Daniel R. Moore is often cited by papers focused on Nonlinear Dynamics and Pattern Formation (4 papers), Fluid Dynamics and Turbulent Flows (3 papers) and Distributed and Parallel Computing Systems (1 paper). Daniel R. Moore collaborates with scholars based in United Kingdom, United States and Switzerland. Daniel R. Moore's co-authors include Herbert E. Huppert, Edgar Knobloch, N. O. Weiss, Juri Toomre, Alan J. Wallcraft, F. P. Pijpers, R. J. Wilson, Silvia Zane, D. O. Kataria and T. S. Horbury and has published in prestigious journals such as The Astrophysical Journal, PLoS ONE and Journal of Fluid Mechanics.

In The Last Decade

Co-authorship network of co-authors of Daniel R. Moore i

Fields of papers citing papers by Daniel R. Moore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel R. Moore. 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 Daniel R. Moore. The network helps show where Daniel R. Moore may publish in the future.

Countries citing papers authored by Daniel R. Moore

Since Specialization
Citations

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