Mark Daniel Ward

41 papers receiving 361 citations

Peers

Mark Daniel Ward
Comparison fields: 5 of 86
  • Statistics and Probability 107
  • Computer Science Applications 43
  • Mathematical Physics 59
  • Information Systems and Management 40
  • Discrete Mathematics and Combinatorics 17
Replace Sofiya Ostrovska with:
Sofiya Ostrovska Türkiye
Ivona Bezáková United States
Richard Rasala United States
F. Thomas Bruss Belgium
Deirdre O'Brien United States
Mark Levene United Kingdom
Edward O. Thorp United States
Jeremy Tantrum United States
L. E. Ward United States
Amit Puniyani United States
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Citations per year

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).

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.

Co-authors

The 25 scholars most cited alongside Mark Daniel Ward, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mark Daniel Ward Line = papers co-authored together Mark Daniel Ward links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015146
2
Measuring and interpreting organizational culture.
199039
3 200717
4 200515
5 201214
6 200514
7 202112
8 202211
9 201710
10 20159
11 20118
12 20127
13 20136
14 20206
15
Virtual Organisms: The Startling World of Artificial Life
20006
16 20205
17 20045
18 20124
19 20054
20 20084

About Mark Daniel Ward

Mark Daniel Ward is a scholar working on Artificial Intelligence, Mathematical Physics, Computational Theory and Mathematics, Statistics and Probability and Molecular Biology, having authored 48 papers that have together received 388 indexed citations. Recurring topics across this work include Algorithms and Data Compression (18 papers), Stochastic processes and statistical mechanics (10 papers), Mathematical Dynamics and Fractals (7 papers), semigroups and automata theory (7 papers), Data Management and Algorithms (6 papers), Coding theory and cryptography (5 papers), Advanced Combinatorial Mathematics (5 papers) and DNA and Biological Computing (4 papers). The work is most often cited by research in Statistics and Probability (107 citations), Computer Science Applications (43 citations), Mathematical Physics (59 citations), Information Systems and Management (40 citations) and Discrete Mathematics and Combinatorics (17 citations). Mark Daniel Ward has collaborated with scholars based in United States, Belgium and South Africa. Frequent co-authors include Hosam M. Mahmoud, D. Nolan, Nicholas J. Horton, Benjamin S. Baumer, Roger W. Hoerl, Roger D. Peng, Duncan Temple Lang, Paul Roback, Paul Murrell and Olaf Hall-Holt. Their work appears in journals such as Discrete Mathematics & Theoretical Computer Science, Journal of Applied Probability, The American Statistician, Probability in the Engineering and Informational Sciences and Mathematical Methods in the Applied Sciences.

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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