Kevin Dolan

782 total citations
17 papers, 604 citations indexed

About

Kevin Dolan is a scholar working on Cognitive Neuroscience, Statistical and Nonlinear Physics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Kevin Dolan has authored 17 papers receiving a total of 604 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cognitive Neuroscience, 8 papers in Statistical and Nonlinear Physics and 7 papers in Cellular and Molecular Neuroscience. Recurrent topics in Kevin Dolan's work include Neural dynamics and brain function (9 papers), Chaos control and synchronization (6 papers) and Nonlinear Dynamics and Pattern Formation (6 papers). Kevin Dolan is often cited by papers focused on Neural dynamics and brain function (9 papers), Chaos control and synchronization (6 papers) and Nonlinear Dynamics and Pattern Formation (6 papers). Kevin Dolan collaborates with scholars based in Germany, United States and Netherlands. Kevin Dolan's co-authors include Peter A. Tass, Mark L. Spano, Ernesto Palmero‐Soler, Alexander Neiman, Frank Moss, Milan Majtanik, Lo J. Bour, Xing Pei, Karl Zilles and P.R. Schuurman and has published in prestigious journals such as Physical Review Letters, NeuroImage and Physics in Medicine and Biology.

In The Last Decade

Kevin Dolan

17 papers receiving 586 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kevin Dolan Germany 11 393 176 140 116 82 17 604
Laura Cimponeriu Greece 9 409 1.0× 165 0.9× 259 1.9× 90 0.8× 24 0.3× 14 687
Spase Petkoski France 17 666 1.7× 127 0.7× 240 1.7× 89 0.8× 32 0.4× 32 862
S.C. Ponten Netherlands 8 1.0k 2.6× 103 0.6× 65 0.5× 130 1.1× 53 0.6× 9 1.1k
Anastasiya E. Runnova Russia 17 751 1.9× 172 1.0× 133 0.9× 97 0.8× 13 0.2× 99 975
Tobias Wagner Germany 13 610 1.6× 81 0.5× 102 0.7× 166 1.4× 13 0.2× 18 809
Oren Shriki Israel 18 1.0k 2.6× 249 1.4× 72 0.5× 242 2.1× 28 0.3× 46 1.2k
Kristin K. Jerger United States 7 583 1.5× 513 2.9× 351 2.5× 183 1.6× 48 0.6× 12 1.1k
Andreas Spiegler France 13 1.2k 3.0× 131 0.7× 118 0.8× 186 1.6× 44 0.5× 23 1.3k
Dongchuan Yu China 16 499 1.3× 341 1.9× 306 2.2× 73 0.6× 15 0.2× 54 981
Luís Garcia Dominguez Canada 16 717 1.8× 54 0.3× 72 0.5× 218 1.9× 95 1.2× 43 862

Countries citing papers authored by Kevin Dolan

Since Specialization
Citations

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

Fields of papers citing papers by Kevin Dolan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kevin Dolan. 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 Kevin Dolan. The network helps show where Kevin Dolan may publish in the future.

Co-authorship network of co-authors of Kevin Dolan

This figure shows the co-authorship network connecting the top 25 collaborators of Kevin Dolan. A scholar is included among the top collaborators of Kevin Dolan 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 Kevin Dolan. Kevin Dolan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Cagnan, Hayriye, Kevin Dolan, Xuan He, et al.. (2011). Automatic subthalamic nucleus detection from microelectrode recordings based on noise level and neuronal activity. Journal of Neural Engineering. 8(4). 46006–46006. 44 indexed citations
2.
Dolan, Kevin, H. C. F. Martens, P.R. Schuurman, & Lo J. Bour. (2009). Automatic noise-level detection for extra-cellular micro-electrode recordings. Medical & Biological Engineering & Computing. 47(7). 791–800. 38 indexed citations
3.
Prieto, Esther, Utako Birgit Barnikol, Kevin Dolan, et al.. (2007). Timing of V1/V2 and V5+ activations during coherent motion of dots: An MEG study. NeuroImage. 37(4). 1384–1395. 23 indexed citations
4.
Palmero‐Soler, Ernesto, et al.. (2007). swLORETA: a novel approach to robust source localization and synchronization tomography. Physics in Medicine and Biology. 52(7). 1783–1800. 144 indexed citations
5.
Majtanik, Milan, Kevin Dolan, & Peter A. Tass. (2006). Desynchronization in Networks of Globally Coupled Neurons with Dendritic Dynamics. Journal of Biological Physics. 32(3-4). 307–333. 11 indexed citations
6.
Majtanik, Milan, Kevin Dolan, & Peter A. Tass. (2005). Desynchronization in networks of globaly coupled neurons: effects of inertia. 2. 1481–1486. 3 indexed citations
7.
Dolan, Kevin, Milan Majtanik, & Peter A. Tass. (2005). Phase resetting and transient desynchronization in networks of globally coupled phase oscillators with inertia. Physica D Nonlinear Phenomena. 211(1-2). 128–138. 10 indexed citations
8.
Dolan, Kevin. (2004). SURROGATE ANALYSIS OF MULTICHANNEL DATA WITH FREQUENCY DEPENDANT TIME LAG. Fluctuation and Noise Letters. 4(1). L75–L81. 3 indexed citations
9.
Tass, Peter A., Jürgen Dammers, Kevin Dolan, et al.. (2003). Synchronization Tomography: A Method for Three-Dimensional Localization of Phase Synchronized Neuronal Populations in the Human Brain using Magnetoencephalography. Physical Review Letters. 90(8). 88101–88101. 91 indexed citations
10.
Dolan, Kevin & Alexander Neiman. (2002). Surrogate analysis of coherent multichannel data. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 65(2). 26108–26108. 33 indexed citations
11.
Dolan, Kevin & Mark L. Spano. (2001). Surrogate for nonlinear time series analysis. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 64(4). 46128–46128. 72 indexed citations
12.
Dolan, Kevin. (2001). Extracting dynamical structure from unstable periodic orbits. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 64(2). 26213–26213. 2 indexed citations
13.
Omberg, Larsson, Kevin Dolan, Alexander Neiman, & Frank Moss. (2000). Detecting the onset of bifurcations and their precursors from noisy data. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 61(5). 4848–4853. 10 indexed citations
14.
Braun, Hans, M. Dewald, Klaus Schäfer, et al.. (1999). Low-Dimensional Dynamics in Sensory Biology 2: Facial Cold Receptors of the Rat. Journal of Computational Neuroscience. 7(1). 17–32. 63 indexed citations
15.
Dolan, Kevin, Annette Witt, Mark L. Spano, Alexander Neiman, & Frank Moss. (1999). Surrogates for finding unstable periodic orbits in noisy data sets. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 59(5). 5235–5241. 38 indexed citations
16.
Pei, Xing, Kevin Dolan, Frank Moss, & Ying-Cheng Lai. (1998). Counting unstable periodic orbits in noisy chaotic systems: A scaling relation connecting experiment with theory. Chaos An Interdisciplinary Journal of Nonlinear Science. 8(4). 853–860. 18 indexed citations
17.
Dolan, Kevin & Frank Moss. (1997). The Statistical Occurrence of Unstable Periodic Orbits in Noisy Chaotic and Random Systems. 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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