D.A. Miller

448 citations
31 papers · 346 · h-index 11

Impact in

Papers in

D.A. Miller

27 papers receiving 327 citations

Peers

D.A. Miller
Comparison fields: 5 of 49
  • Statistical and Nonlinear Physics 256
  • Computer Networks and Communications 159
  • Computer Vision and Pattern Recognition 95
  • Mathematical Physics 34
  • Cognitive Neuroscience 21
Replace Banlue Srisuchinwong with:
Banlue Srisuchinwong Thailand
Aimin Chen China
Gualberto Solís‐Perales Mexico
Santo Banerjee Malaysia
Shaohui Yan China
Tianai Lu China
Juan Gonzalo Barajas-Ramírez Mexico
Xiangliang Xu China
Xiaofeng Gong China
Pooja Rani Sharma India
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Citations per field
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Citations per year

Countries citing papers authored by D.A. Miller

Since Specialization
Citations

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

Fields of papers citing papers by D.A. Miller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D.A. Miller. 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 D.A. Miller. The network helps show where D.A. Miller may publish in the future.

Co-authors

The 24 scholars most cited alongside D.A. Miller, 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 D.A. Miller Line = papers co-authored together D.A. Miller links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200263
2 200854
3 200147
4 201625
5 200722
6 200221
7 200820
8 200316
9 201413
10 201110
11 200710
12 19989
13 20116
14 20056
15 20115
16 20133
17 20232
18 20062
19 20022
20 20122

About D.A. Miller

D.A. Miller is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications, Artificial Intelligence, Cellular and Molecular Neuroscience and Control and Systems Engineering, having authored 31 papers that have together received 346 indexed citations. Recurring topics across this work include Chaos control and synchronization (14 papers), Nonlinear Dynamics and Pattern Formation (13 papers), Neural Networks and Applications (11 papers), Quantum chaos and dynamical systems (9 papers), Neuroscience and Neural Engineering (4 papers), Machine Learning and Algorithms (3 papers), Neural dynamics and brain function (3 papers) and Neural Networks and Reservoir Computing (3 papers). The work is most often cited by research in Statistical and Nonlinear Physics (256 citations), Computer Networks and Communications (159 citations), Computer Vision and Pattern Recognition (95 citations), Mathematical Physics (34 citations) and Cognitive Neuroscience (21 citations). D.A. Miller has collaborated with scholars based in United States, Italy and France. Frequent co-authors include Giuseppe Grassi, A. Lozowski, Jacek M. Żurada, John M. Spitsbergen, John‐Mary Vianney, Bradley J. Bazuin, Michael J. Bamshad, Julia M. Crouch, Karin M. Dent and Joon‐Ho Yu. Their work appears in journals such as International Journal of Bifurcation and Chaos, Chaos Solitons & Fractals, Genetics in Medicine, SAE technical papers on CD-ROM/SAE technical paper series and Brain Research.

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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