Christopher W. Kulp

410 total citations
23 papers, 296 citations indexed

About

Christopher W. Kulp is a scholar working on Statistical and Nonlinear Physics, Economics and Econometrics and Computer Networks and Communications. According to data from OpenAlex, Christopher W. Kulp has authored 23 papers receiving a total of 296 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Statistical and Nonlinear Physics, 11 papers in Economics and Econometrics and 6 papers in Computer Networks and Communications. Recurrent topics in Christopher W. Kulp's work include Complex Systems and Time Series Analysis (10 papers), Chaos control and synchronization (8 papers) and Nonlinear Dynamics and Pattern Formation (6 papers). Christopher W. Kulp is often cited by papers focused on Complex Systems and Time Series Analysis (10 papers), Chaos control and synchronization (8 papers) and Nonlinear Dynamics and Pattern Formation (6 papers). Christopher W. Kulp collaborates with scholars based in United States, Argentina and Greece. Christopher W. Kulp's co-authors include Luciano Zunino, Vasilis Pagonis, Suzanne Smith, E. R. Tracy, T.H. Osborne, Brianna Zawadzki, Reuven Chen, G. Kitis, Alexander N. Pisarchik and G. Huerta-Cuéllar and has published in prestigious journals such as Journal of Physics Condensed Matter, Journal of Physics D Applied Physics and Physics Letters A.

In The Last Decade

Christopher W. Kulp

21 papers receiving 288 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Christopher W. Kulp United States 10 144 143 78 50 42 23 296
Ruoxi Xiang Hong Kong 4 203 1.4× 155 1.1× 83 1.1× 83 1.7× 62 1.5× 4 399
Renat M. Yulmetyev Germany 11 95 0.7× 118 0.8× 25 0.3× 22 0.4× 34 0.8× 18 289
A. Wolf United States 4 126 0.9× 239 1.7× 149 1.9× 8 0.2× 17 0.4× 5 361
U. Dressler Germany 9 35 0.2× 419 2.9× 314 4.0× 9 0.2× 12 0.3× 12 496
G. Broggi Switzerland 10 119 0.8× 295 2.1× 175 2.2× 23 0.5× 21 0.5× 16 407
G. Baris Bagci Türkiye 10 122 0.8× 270 1.9× 21 0.3× 9 0.2× 23 0.5× 29 323
C. Cristescu Romania 10 65 0.5× 110 0.8× 42 0.5× 5 0.1× 8 0.2× 35 327
André P. Vieira Brazil 12 49 0.3× 91 0.6× 13 0.2× 22 0.4× 2 0.0× 41 401
K. Karamanos Greece 12 64 0.4× 84 0.6× 14 0.2× 9 0.2× 17 0.4× 28 349
M. Ravani Switzerland 7 82 0.6× 250 1.7× 191 2.4× 23 0.5× 32 0.8× 9 367

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-authorship network of co-authors of Christopher W. Kulp

This figure shows the co-authorship network connecting the top 25 collaborators of Christopher W. Kulp. A scholar is included among the top collaborators of Christopher W. Kulp based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Christopher W. Kulp. Christopher W. Kulp is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Kulp, Christopher W., et al.. (2022). The distribution of wealth: an agent-based approach to examine the effect of estate taxation, skill inheritance, and the Carnegie Effect. Journal of Economic Interaction and Coordination. 18(2). 397–415. 1 indexed citations
2.
3.
Kulp, Christopher W., et al.. (2019). The effect of various tax and redistribution models on the Gini coefficient of simple exchange games. Chaos An Interdisciplinary Journal of Nonlinear Science. 29(8). 83118–83118. 4 indexed citations
4.
Kulp, Christopher W., Luciano Zunino, T.H. Osborne, & Brianna Zawadzki. (2017). Using missing ordinal patterns to detect nonlinearity in time series data. Physical review. E. 96(2). 22218–22218. 22 indexed citations
5.
Pagonis, Vasilis, et al.. (2017). Quantum tunneling recombination in a system of randomly distributed trapped electrons and positive ions. Journal of Physics Condensed Matter. 29(36). 365701–365701. 9 indexed citations
6.
Zunino, Luciano & Christopher W. Kulp. (2017). Detecting nonlinearity in short and noisy time series using the permutation entropy. Physics Letters A. 381(42). 3627–3635. 23 indexed citations
7.
Kulp, Christopher W., et al.. (2016). Using forbidden ordinal patterns to detect determinism in irregularly sampled time series. Chaos An Interdisciplinary Journal of Nonlinear Science. 26(2). 23107–23107. 27 indexed citations
8.
Kulp, Christopher W., et al.. (2016). Using ordinal partition transition networks to analyze ECG data. Chaos An Interdisciplinary Journal of Nonlinear Science. 26(7). 73114–73114. 57 indexed citations
9.
Kulp, Christopher W. & Luciano Zunino. (2014). Discriminating chaotic and stochastic dynamics through the permutation spectrum test. Chaos An Interdisciplinary Journal of Nonlinear Science. 24(3). 33116–33116. 64 indexed citations
10.
Kulp, Christopher W.. (2013). Detecting chaos in irregularly sampled time series. Chaos An Interdisciplinary Journal of Nonlinear Science. 23(3). 33110–33110. 5 indexed citations
11.
Kulp, Christopher W. & Suzanne Smith. (2011). Characterization of noisy symbolic time series. Physical Review E. 83(2). 26201–26201. 21 indexed citations
12.
Pagonis, Vasilis & Christopher W. Kulp. (2010). Simulations of isothermal processes in the semilocalized transition (SLT) model of thermoluminescence (TL). Journal of Physics D Applied Physics. 43(17). 175403–175403. 8 indexed citations
13.
Kulp, Christopher W. & E. R. Tracy. (2009). The application of the transfer entropy to gappy time series. Physics Letters A. 373(14). 1261–1267. 8 indexed citations
14.
Kulp, Christopher W., et al.. (2008). When Two Balls Are Just One. The Physics Teacher. 46(3). 168–170.
15.
Kulp, Christopher W. & Mark L. Biermann. (2008). Kulp and Biermann's Response. The Physics Teacher. 46(L1). L2–L2.
16.
Kulp, Christopher W., et al.. (2007). Composition and Analysis of Music Using Mathematica. 12(1). 1. 1 indexed citations
17.
Kulp, Christopher W. & E. R. Tracy. (2005). Control of multidimensional integrable Hamiltonian systems. Physical Review E. 72(3). 36213–36213. 1 indexed citations
18.
Kulp, Christopher W. & E. R. Tracy. (2004). Control of integrable Hamiltonian systems and degenerate bifurcations. Physical Review E. 70(1). 16205–16205. 1 indexed citations
19.
Tracy, E. R., Xian-Zhu Tang, & Christopher W. Kulp. (1998). Takens-Bogdanov random walks. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 57(4). 3749–3756. 2 indexed citations
20.
Tracy, E. R., et al.. (1997). Takens-Bogdanov random walks. APS. 1 indexed citations

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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