Mark Daniel Ward

37 papers and 314 indexed citations i.

About

Mark Daniel Ward is a scholar working on Artificial Intelligence, Mathematical Physics and Computational Theory and Mathematics. According to data from OpenAlex, Mark Daniel Ward has authored 37 papers receiving a total of 314 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 15 papers in Mathematical Physics and 8 papers in Computational Theory and Mathematics. Recurrent topics in Mark Daniel Ward’s work include Algorithms and Data Compression (13 papers), Stochastic processes and statistical mechanics (10 papers) and Mathematical Dynamics and Fractals (7 papers). Mark Daniel Ward is often cited by papers focused on Algorithms and Data Compression (13 papers), Stochastic processes and statistical mechanics (10 papers) and Mathematical Dynamics and Fractals (7 papers). Mark Daniel Ward collaborates with scholars based in United States, South Africa and Belgium. Mark Daniel Ward's co-authors include Hosam M. Mahmoud, Nicholas J. Horton, D. Nolan, Roger W. Hoerl, Johanna Hardin, Paul Murrell, Paul Roback, Guy Louchard, Benjamin S. Baumer and Roger D. Peng and has published in prestigious journals such as IEEE Transactions on Information Theory, The American Statistician and Journal of Applied Probability.

In The Last Decade

Co-authorship network of co-authors of Mark Daniel Ward i

Fields of papers citing papers by Mark Daniel Ward

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mark Daniel Ward

Since Specialization
Citations

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