Daniel Trudnowski

5.6k total citations
111 papers, 4.1k citations indexed

About

Daniel Trudnowski is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Civil and Structural Engineering. According to data from OpenAlex, Daniel Trudnowski has authored 111 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 95 papers in Electrical and Electronic Engineering, 79 papers in Control and Systems Engineering and 14 papers in Civil and Structural Engineering. Recurrent topics in Daniel Trudnowski's work include Power System Optimization and Stability (88 papers), Power Systems Fault Detection (34 papers) and HVDC Systems and Fault Protection (23 papers). Daniel Trudnowski is often cited by papers focused on Power System Optimization and Stability (88 papers), Power Systems Fault Detection (34 papers) and HVDC Systems and Fault Protection (23 papers). Daniel Trudnowski collaborates with scholars based in United States, Denmark and Sweden. Daniel Trudnowski's co-authors include John W. Pierre, J.F. Hauer, Matthew Donnelly, Ning Zhou, Richard Wies, J.M. Johnson, W.A. Mittelstadt, D.A. Pierre, John R. Lindsay Smith and Jeff Dagle and has published in prestigious journals such as IEEE Transactions on Automatic Control, IEEE Transactions on Power Systems and IEEE Access.

In The Last Decade

Daniel Trudnowski

108 papers receiving 3.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Trudnowski United States 32 3.6k 2.6k 499 489 303 111 4.1k
John W. Pierre United States 28 2.7k 0.7× 1.7k 0.7× 502 1.0× 479 1.0× 282 0.9× 129 3.2k
J.F. Hauer United States 29 3.2k 0.9× 2.2k 0.9× 338 0.7× 324 0.7× 231 0.8× 80 3.5k
J.J. Sanchez-Gasca United States 30 4.1k 1.1× 2.9k 1.1× 216 0.4× 359 0.7× 124 0.4× 82 4.6k
A.R. Messina Mexico 26 2.0k 0.5× 1.6k 0.6× 237 0.5× 199 0.4× 114 0.4× 131 2.4k
Ning Zhou United States 23 1.8k 0.5× 1.2k 0.5× 240 0.5× 263 0.5× 396 1.3× 120 2.3k
N. Martins Brazil 30 3.5k 1.0× 2.3k 0.9× 208 0.4× 431 0.9× 77 0.3× 109 4.2k
C.W. Taylor United States 29 8.0k 2.2× 5.4k 2.1× 289 0.6× 1.3k 2.7× 269 0.9× 62 8.7k
Ashok Kumar Pradhan India 44 5.5k 1.5× 4.8k 1.8× 143 0.3× 364 0.7× 310 1.0× 221 6.2k
A. A. Fouad United States 28 3.6k 1.0× 2.5k 0.9× 97 0.2× 419 0.9× 135 0.4× 66 3.9k
Pouyan Pourbeik United States 24 3.2k 0.9× 2.3k 0.9× 162 0.3× 422 0.9× 105 0.3× 70 3.7k

Countries citing papers authored by Daniel Trudnowski

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Trudnowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Trudnowski

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Trudnowski. A scholar is included among the top collaborators of Daniel Trudnowski 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 Daniel Trudnowski. Daniel Trudnowski 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.
Rogers, G.J., et al.. (2025). Power System Oscillations. 1 indexed citations
2.
Trudnowski, Daniel, Jim Follum, Ryan Elliott, David Schoenwald, & John W. Pierre. (2025). Characterizing the Oscillatory Properties of Bulk Electric Systems. IEEE Access. 13. 32883–32900.
3.
Trudnowski, Daniel, et al.. (2023). A Framework for Monte Carlo Power-Plant Parameter Estimation. 28. 1–5.
4.
Elliott, Ryan, et al.. (2022). Real Power Modulation Strategies for Transient Stability Control. IEEE Access. 10. 37215–37245. 8 indexed citations
5.
Trudnowski, Daniel, et al.. (2022). Feedback Control Strategy for Transient Stability Application. Energies. 15(16). 6016–6016. 2 indexed citations
6.
Trudnowski, Daniel, et al.. (2021). Multi-Loop Transient Stability Control via Power Modulation From Energy Storage Devices. IEEE Transactions on Power Systems. 36(6). 5153–5163. 11 indexed citations
7.
Trudnowski, Daniel & Ross Guttromson. (2020). A Strategy for Forced Oscillation Suppression. IEEE Transactions on Power Systems. 35(6). 4699–4708. 10 indexed citations
8.
Pierre, Brian, Felipe Wilches‐Bernal, David Schoenwald, et al.. (2019). Design of the Pacific DC Intertie Wide Area Damping Controller. IEEE Transactions on Power Systems. 34(5). 3594–3604. 67 indexed citations
9.
Wilches‐Bernal, Felipe, Brian Pierre, Ryan Elliott, et al.. (2017). Time delay definitions and characterization in the pacific DC intertie wide area damping controller. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1–5. 14 indexed citations
10.
Trudnowski, Daniel, et al.. (2017). Comparison of methods for locating and quantifying turbine-induced forced-oscillations. 1–5. 7 indexed citations
11.
Pierre, John W., et al.. (2017). Locating the source of forced oscillations using PMU measurements and system model information. 1–5. 17 indexed citations
12.
Dosiek, Luke, Daniel Trudnowski, & John W. Pierre. (2017). Model order sensitivity in ARMA-based electromechanical mode estimation algorithms under ambient power system conditions. 1–5. 4 indexed citations
13.
Pierre, Brian, Felipe Wilches‐Bernal, Ryan Elliott, et al.. (2017). Simulation results for the pacific DC intertie wide area damping controller. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1–5. 6 indexed citations
14.
Trudnowski, Daniel, Brian Pierre, Felipe Wilches‐Bernal, et al.. (2017). Initial closed-loop testing results for the pacific DC intertie wide area damping controller. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1–5. 20 indexed citations
15.
Trudnowski, Daniel, et al.. (2017). Distinguishing between natural and forced oscillations using a cross-spectrum index. 1–5. 4 indexed citations
16.
Zhou, Ning, et al.. (2017). A Forecasting-Residual Spectrum Analysis Method for Distinguishing Forced and Natural Oscillations. IEEE Transactions on Smart Grid. 10(1). 493–502. 19 indexed citations
17.
Trudnowski, Daniel, et al.. (2017). Tracking the Damping Contribution of a Power System Component Under Ambient Conditions. IEEE Transactions on Power Systems. 33(1). 1116–1117. 29 indexed citations
18.
Trudnowski, Daniel. (2015). Decentralized adaptive control and system identification, with applications to power systems. Montana State University ScholarWorks (Montana State University).
19.
Trudnowski, Daniel, Matthew Donnelly, & Eric Lightner. (2006). Power-System Frequency and Stability Control using Decentralized Intelligent Loads. 1453–1459. 102 indexed citations
20.
Evans, Evans, et al.. (1992). Studies in control of long-reach flexible manipulators. Transactions of the American Nuclear Society. 66. 2 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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