William L. Ditto

10.5k citations
148 papers · 7.9k · 3 hit papers · h-index 44

Impact in

Papers in

William L. Ditto

143 papers receiving 7.6k citations

William L. Ditto's Hit Papers

Controlling chaos in the brain 1994 · 700 citations
7000+12+24Years since publication200400600

Peers

William L. Ditto
Comparison fields: 5 of 157
  • Statistical and Nonlinear Physics 5.1k
  • Computer Networks and Communications 3.4k
  • Cognitive Neuroscience 1.7k
  • Statistics, Probability and Uncertainty 245
  • Mathematical Physics 309
Replace Michael C. Mackey with:
Michael C. Mackey Canada
Thomas Schreiber Germany
Hölger Kantz Germany
Timothy Sauer United States
Henry D. I. Abarbanel United States
P. V. E. McClintock United Kingdom
Ulrich Parlitz Germany
James P. Keener United States
Rajarshi Roy United States
André Longtin Canada
William L. Ditto relative to Michael C. Mackey Canada Michael C. Mackey's profile →
Citations per field
00.5×1.5×
Michael C. Mackey · 1×
Citations per year

Countries citing papers authored by William L. Ditto

Since Specialization
Citations

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

Fields of papers citing papers by William L. Ditto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William L. Ditto. 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 William L. Ditto. The network helps show where William L. Ditto may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 148 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Controlling chaos in the brain
Hit paper breakdown →
1994700
2
Controlling Cardiac Chaos
Hit paper breakdown →
1992698
3
Experimental control of chaos
Hit paper breakdown →
1990563
4 1998399
5 1995374
6 1996286
7 1994237
8 1995188
9 1990174
10 2009168
11 1998160
12 2010148
13 1996127
14 1996123
15 2000121
16 1992119
17 1995116
18 1998107
19 1999104
20 198998

About William L. Ditto

William L. Ditto is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications, Artificial Intelligence, Cognitive Neuroscience and Molecular Biology, having authored 148 papers that have together received 7.9k indexed citations. Recurring topics across this work include Chaos control and synchronization (46 papers), Nonlinear Dynamics and Pattern Formation (45 papers), stochastic dynamics and bifurcation (39 papers), Neural dynamics and brain function (29 papers), Neural Networks and Applications (21 papers), Cellular Automata and Applications (19 papers), Quantum chaos and dynamical systems (16 papers) and Neural Networks and Reservoir Computing (15 papers). The work is most often cited by research in Statistical and Nonlinear Physics (5.1k citations), Computer Networks and Communications (3.4k citations), Cognitive Neuroscience (1.7k citations), Statistics, Probability and Uncertainty (245 citations) and Mathematical Physics (309 citations). William L. Ditto has collaborated with scholars based in United States, India and Canada. Frequent co-authors include Mark L. Spano, Sudeshna Sinha, John F. Lindner, Adi R. Bulsara, S. N. Rauseo, James N. Weiss, Alan Garfinkel, Steven J. Schiff, K. Murali and Mario E. Inchiosa. Their work appears in journals such as Physical Review Letters, Chaos An Interdisciplinary Journal of Nonlinear Science, International Journal of Bifurcation and Chaos, Physics Letters A and Nature.

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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