Christopher W. Kulp

410 citations
23 papers · 296 · h-index 10

Impact in

Papers in

Christopher W. Kulp

21 papers receiving 288 citations

Peers

Christopher W. Kulp
Comparison fields: 5 of 75
  • Statistical and Nonlinear Physics 143
  • Economics and Econometrics 144
  • Signal Processing 50
  • Computer Networks and Communications 78
  • Cognitive Neuroscience 42
Replace Ruoxi Xiang with:
Ruoxi Xiang Hong Kong
Renat M. Yulmetyev Germany
A. Wolf United States
G. Broggi Switzerland
M. Ravani Switzerland
K. Karamanos Greece
U. Dressler Germany
C. Cristescu Romania
Colleen D. Cutler Canada
R. S. Gioggia United States
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Countries citing papers authored by Christopher W. Kulp

Since Specialization
Citations

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

Fields of papers citing papers by Christopher W. Kulp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher W. Kulp. 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 Christopher W. Kulp. The network helps show where Christopher W. Kulp may publish in the future.

Co-authors

The 15 scholars most cited alongside Christopher W. Kulp, 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 Christopher W. Kulp Line = papers co-authored together Christopher W. Kulp links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201464
2 201657
3 201627
4 201723
5 201722
6 201121
7 201719
8 201811
9 201610
10 20179
11 20098
12 20108
13 20135
14 20194
15 19982
16 20221
17
Takens-Bogdanov random walks
19971
18 20041
19 20051
20 20201

About Christopher W. Kulp

Christopher W. Kulp is a scholar working on Statistical and Nonlinear Physics, Economics and Econometrics, Computer Networks and Communications, Signal Processing and Materials Chemistry, having authored 23 papers that have together received 296 indexed citations. Recurring topics across this work include Complex Systems and Time Series Analysis (10 papers), Chaos control and synchronization (8 papers), Nonlinear Dynamics and Pattern Formation (6 papers), Time Series Analysis and Forecasting (4 papers), Economic theories and models (2 papers), Luminescence Properties of Advanced Materials (2 papers), Quantum chaos and dynamical systems (2 papers) and Experimental and Theoretical Physics Studies (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (143 citations), Economics and Econometrics (144 citations), Signal Processing (50 citations), Computer Networks and Communications (78 citations) and Cognitive Neuroscience (42 citations). Christopher W. Kulp has collaborated with scholars based in United States, Argentina and Greece. Frequent co-authors include Luciano Zunino, Vasilis Pagonis, Suzanne Smith, T.H. Osborne, E. R. Tracy, Brianna Zawadzki, Reuven Chen, G. Kitis, Alexander N. Pisarchik and G. Huerta-Cuéllar. Their work appears in journals such as Chaos An Interdisciplinary Journal of Nonlinear Science, Physics Letters A, Radiation Measurements, Journal of Economic Interaction and Coordination and Physical review. E.

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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