David M. Walker

101 papers receiving 2.0k citations

Peers

David M. Walker
Comparison fields: 5 of 130
  • Computational Mechanics 803
  • Management, Monitoring, Policy and Law 416
  • Statistical and Nonlinear Physics 408
  • Modeling and Simulation 143
  • Civil and Structural Engineering 447
Replace Ángel Garcimartín with:
Ángel Garcimartín Spain
Remco I. Leine Switzerland
Diego Maza Spain
Raymond J. Spiteri Canada
J. David Logan United States
R. O. Weber Australia
Deborah Sulsky United States
Denis Blackmore United States
Paul B. Umbanhowar United States
David M. Walker relative to Ángel Garcimartín Spain Ángel Garcimartín's profile →
Citations per field
00.5×8.9×
Ángel Garcimartín · 1×
Citations per year

Countries citing papers authored by David M. Walker

Since Specialization
Citations

This map shows the geographic impact of David M. Walker'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 David M. Walker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David M. Walker more than expected).

Fields of papers citing papers by David M. Walker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David M. Walker. 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 David M. Walker. The network helps show where David M. Walker may publish in the future.

Co-authors

The 25 scholars most cited alongside David M. Walker, 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 David M. Walker Line = papers co-authored together David M. Walker links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 108 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1966341
2 2010204
3 2008194
4 2009119
5 1968119
6 200775
7 200672
8 196756
9 201250
10 202342
11 201339
12 201238
13 201437
14 201034
15 201931
16 201430
17 200629
18 196727
19 198919
20 200918

About David M. Walker

David M. Walker is a scholar working on Computational Mechanics, Statistical and Nonlinear Physics, Artificial Intelligence, Management, Monitoring, Policy and Law and Economics and Econometrics, having authored 108 papers that have together received 2.1k indexed citations. Recurring topics across this work include Granular flow and fluidized beds (27 papers), Landslides and related hazards (16 papers), Complex Systems and Time Series Analysis (14 papers), Chaos control and synchronization (14 papers), Neural Networks and Applications (10 papers), Time Series Analysis and Forecasting (10 papers), Control Systems and Identification (6 papers) and Ecology and Vegetation Dynamics Studies (6 papers). The work is most often cited by research in Computational Mechanics (803 citations), Management, Monitoring, Policy and Law (416 citations), Statistical and Nonlinear Physics (408 citations), Modeling and Simulation (143 citations) and Civil and Structural Engineering (447 citations). David M. Walker has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Antoinette Tordesillas, Michael Small, Qun Lin, Chi K. Tse, Haifeng Zhang, Xinchu Fu, F. Javier Pérez‐Barbería, Débora Corrêa, Robert Behringer and Alistair Mees. Their work appears in journals such as Chaos An Interdisciplinary Journal of Nonlinear Science, International Journal of Bifurcation and Chaos, Physics Letters A, Chemical Engineering Science and Journal of Applied Probability.

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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