Mark Daniel Ward

46 papers receiving 404 citations

Peers

Mark Daniel Ward
Comparison fields: 5 of 86
  • Statistics and Probability 124
  • Computer Science Applications 50
  • Discrete Mathematics and Combinatorics 26
  • Mathematical Physics 72
  • Information Systems and Management 48
Replace Sofiya Ostrovska with:
Sofiya Ostrovska Türkiye
Richard Rasala United States
Ursula Martin United Kingdom
Peter Fletcher United States
Edward O. Thorp United States
L. E. Ward United States
Shen Xu China
Jeremy Tantrum United States
Michael Brautbar United States
Ulrich Thiel Germany
Mark Daniel Ward relative to Sofiya Ostrovska Türkiye Sofiya Ostrovska's profile →
Citations per field
00.5×2×4×6.9×
Sofiya Ostrovska · 1×
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 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015156
2
Measuring and interpreting organizational culture.
199039
3 201220
4 200719
5 200518
6 200515
7 202114
8 201513
9 202212
10 201710
11 201110
12
Virtual Organisms: The Startling World of Artificial Life
20008
13 20077
14 20127
15 20206
16 20136
17 20205
18 20055
19
Analysis of Randomized Selection Algorithm Motivated by the LZ'77 Scheme.
20045
20 20085

About Mark Daniel Ward

Mark Daniel Ward is a scholar working on Mathematical Physics, Artificial Intelligence, Statistics and Probability, Computational Theory and Mathematics and Discrete Mathematics and Combinatorics, having authored 53 papers that have together received 440 indexed citations. Recurring topics across this work include Algorithms and Data Compression (21 papers), Stochastic processes and statistical mechanics (10 papers), semigroups and automata theory (8 papers), Mathematical Dynamics and Fractals (7 papers), Data Management and Algorithms (6 papers), Advanced Combinatorial Mathematics (6 papers), Coding theory and cryptography (5 papers) and Statistics Education and Methodologies (5 papers). The work is most often cited by research in Statistics and Probability (124 citations), Computer Science Applications (50 citations), Discrete Mathematics and Combinatorics (26 citations), Mathematical Physics (72 citations) and Information Systems and Management (48 citations). Mark Daniel Ward has collaborated with scholars based in United States, South Africa and Belgium. Frequent co-authors include Hosam M. Mahmoud, Paul Roback, Duncan Temple Lang, Paul R. Murrell, Roger W. Hoerl, Darren Nolan, Johanna Hardin, Olaf A. Hall-Holt, Nicholas J. Horton and Benjamin S. Baumer. 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 Experimental Mathematics.

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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