Joseph D. Skufca

1.8k total citations
34 papers, 1.1k citations indexed

About

Joseph D. Skufca is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Molecular Biology. According to data from OpenAlex, Joseph D. Skufca has authored 34 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Statistical and Nonlinear Physics, 6 papers in Computer Networks and Communications and 4 papers in Molecular Biology. Recurrent topics in Joseph D. Skufca's work include Nonlinear Dynamics and Pattern Formation (6 papers), Quantum chaos and dynamical systems (5 papers) and Balance, Gait, and Falls Prevention (4 papers). Joseph D. Skufca is often cited by papers focused on Nonlinear Dynamics and Pattern Formation (6 papers), Quantum chaos and dynamical systems (5 papers) and Balance, Gait, and Falls Prevention (4 papers). Joseph D. Skufca collaborates with scholars based in United States, France and Jordan. Joseph D. Skufca's co-authors include Erik M. Bollt, Kenneth R. Foster, Robert Koprowski, James A. Yorke, Bruno Eckhardt, Russell D. Meller, Kevin R. Gue, Daniel J. Stilwell, Maurizio Porfiri and Stephen J. McGregor and has published in prestigious journals such as Physical Review Letters, PLoS ONE and IEEE Transactions on Power Electronics.

In The Last Decade

Joseph D. Skufca

34 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joseph D. Skufca United States 12 237 222 163 127 104 34 1.1k
Alistair Mees Australia 20 228 1.0× 679 3.1× 33 0.2× 90 0.7× 408 3.9× 48 1.6k
Jordi Luque Spain 13 150 0.6× 455 2.0× 48 0.3× 105 0.8× 353 3.4× 42 1.6k
Herwig Wendt France 17 57 0.2× 131 0.6× 56 0.3× 41 0.3× 115 1.1× 90 1.1k
Liangyue Cao Australia 9 198 0.8× 524 2.4× 83 0.5× 97 0.8× 396 3.8× 20 1.7k
Yinping Cao China 15 168 0.7× 527 2.4× 37 0.2× 91 0.7× 161 1.5× 66 1.5k
Elizabeth Bradley United States 19 178 0.8× 296 1.3× 49 0.3× 76 0.6× 260 2.5× 87 1.7k
E. A. Gopalakrishnan India 16 105 0.4× 147 0.7× 212 1.3× 91 0.7× 225 2.2× 45 1.3k
Dimitris Kugiumtzis Greece 28 220 0.9× 648 2.9× 23 0.1× 110 0.9× 399 3.8× 98 2.3k
A. Figliola Argentina 14 67 0.3× 438 2.0× 29 0.2× 65 0.5× 163 1.6× 35 1.8k

Countries citing papers authored by Joseph D. Skufca

Since Specialization
Citations

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

Fields of papers citing papers by Joseph D. Skufca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joseph D. Skufca

This figure shows the co-authorship network connecting the top 25 collaborators of Joseph D. Skufca. A scholar is included among the top collaborators of Joseph D. Skufca 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 Joseph D. Skufca. Joseph D. Skufca 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.
Skufca, Joseph D., et al.. (2020). New insights into prediction of weak π–π complex association through proton-nuclear magnetic resonance analysis. BMC Chemistry. 14(1). 66–66. 4 indexed citations
2.
Ridal, Jeffrey J., et al.. (2020). A multiscale approach to water quality variables in a river ecosystem. Ecosphere. 11(2). 3 indexed citations
3.
Langen, Tom A., et al.. (2015). Are College Students’ Assessments of Threat Shaped by the Dangers of Their Childhood Environment?. Journal of Interpersonal Violence. 31(11). 2006–2025. 8 indexed citations
4.
Wilke, Andreas, et al.. (2015). A Game of Hide and Seek: Expectations of Clumpy Resources Influence Hiding and Searching Patterns. PLoS ONE. 10(7). e0130976–e0130976. 11 indexed citations
5.
Bollt, Erik M. & Joseph D. Skufca. (2015). A Low-Dimensional Principal Manifold as the "Attractor Backbone" of a Chaotic Beam System. International Journal of Bifurcation and Chaos. 25(3). 1550037–1550037. 1 indexed citations
6.
Foster, Kenneth R., Robert Koprowski, & Joseph D. Skufca. (2014). Machine learning, medical diagnosis, and biomedical engineering research - commentary. BioMedical Engineering OnLine. 13(1). 94–94. 243 indexed citations
7.
Skufca, Joseph D., et al.. (2013). Heart rate variability as determinism with jump stochastic parameters. Mathematical Biosciences & Engineering. 10(4). 1253–1264. 2 indexed citations
8.
McGregor, Stephen J., Michael A. Busa, Joseph D. Skufca, et al.. (2011). A statistical approach to the use of control entropy identifies differences in constraints of gait in highly trained versus untrained runners. Mathematical Biosciences & Engineering. 9(1). 123–145. 10 indexed citations
9.
10.
Skufca, Joseph D., et al.. (2010). Categorizing and comparing psychophysical detection strategies based on biomechanical responses to short postural perturbations. BioMedical Engineering OnLine. 9(1). 58–58. 1 indexed citations
11.
Bollt, Erik M. & Joseph D. Skufca. (2010). On comparing dynamical systems by defective conjugacy: A symbolic dynamics interpretation of commuter functions. Physica D Nonlinear Phenomena. 239(10). 579–590. 4 indexed citations
12.
Sun, Jie, James P. Bagrow, Erik M. Bollt, & Joseph D. Skufca. (2009). Dynamic computation of network statistics via updating schema. Physical Review E. 79(3). 36116–36116. 7 indexed citations
13.
Schilling, Robert, et al.. (2008). A Quiet Standing Index for Testing the Postural Sway of Healthy and Diabetic Adults Across a Range of Ages. IEEE Transactions on Biomedical Engineering. 56(2). 292–302. 24 indexed citations
14.
Bollt, Erik M., et al.. (2008). Control entropy: A complexity measure for nonstationary signals. Mathematical Biosciences & Engineering. 6(1). 1–25. 35 indexed citations
15.
Skufca, Joseph D. & Erik M. Bollt. (2007). Relaxing conjugacy to fit modeling in dynamical systems. Physical Review E. 76(2). 26220–26220. 6 indexed citations
16.
Gue, Kevin R., Russell D. Meller, & Joseph D. Skufca. (2006). The effects of pick density on order picking areas with narrow aisles. IIE Transactions. 38(10). 859–868. 80 indexed citations
17.
Skufca, Joseph D., James A. Yorke, & Bruno Eckhardt. (2006). Edge of Chaos in a Parallel Shear Flow. Physical Review Letters. 96(17). 174101–174101. 213 indexed citations
18.
Skufca, Joseph D.. (2005). kWorkers in a Circular Warehouse: A Random Walk on a Circle, without Passing. SIAM Review. 47(2). 301–314. 13 indexed citations
19.
Skufca, Joseph D. & Erik M. Bollt. (2004). Communication and Synchronization in Disconnected Networks with Dynamic Topology: Moving Neighborhood Networks. Mathematical Biosciences & Engineering. 1(2). 347–359. 76 indexed citations
20.
Skufca, Joseph D. & Erik M. Bollt. (2003). Feedback control with finite accuracy: more knowledge and better control for free. Physica D Nonlinear Phenomena. 179(1-2). 18–32. 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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