William L. Ditto

10.4k citations
147 papers · 7.9k indexed · 3 hit papers · h-index 44

Impact in

Papers in

William L. Ditto

142 papers receiving 7.6k citations

Hit Papers

Controlling chaos in the brain 1994 · 700 citations
7001990202620022014200400600

Peers

William L. Ditto
Comparison fields: 5 of 159
  • Statistical and Nonlinear Physics 5.1k
  • Computer Networks and Communications 3.4k
  • Cognitive Neuroscience 1.7k
  • Statistics, Probability and Uncertainty 247
  • Mathematical Physics 307
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
James P. Keener United States
Ulrich Parlitz Germany
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-authorship network

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
#Work
1 20213
2 202011
3 202054
4 201710
5 20163
6 201136
7 20113
8 20108
9 201039
10 200911
11 2009166
12 200818
13 200823
14 20083
15 20066
16 200240
17 2000120
18 199976
19 199525
20 199480

About William L. Ditto

William L. Ditto is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications, Cognitive Neuroscience, Computational Theory and Mathematics and Artificial Intelligence, having authored 147 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 (247 citations) and Mathematical Physics (307 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, Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences and Physics Letters A.

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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