Daniel Tylavsky

2.3k total citations
101 papers, 1.7k citations indexed

About

Daniel Tylavsky is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Astronomy and Astrophysics. According to data from OpenAlex, Daniel Tylavsky has authored 101 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 83 papers in Electrical and Electronic Engineering, 29 papers in Control and Systems Engineering and 13 papers in Astronomy and Astrophysics. Recurrent topics in Daniel Tylavsky's work include Power System Optimization and Stability (36 papers), Optimal Power Flow Distribution (30 papers) and Power Transformer Diagnostics and Insulation (19 papers). Daniel Tylavsky is often cited by papers focused on Power System Optimization and Stability (36 papers), Optimal Power Flow Distribution (30 papers) and Power Transformer Diagnostics and Insulation (19 papers). Daniel Tylavsky collaborates with scholars based in United States, Sweden and Italy. Daniel Tylavsky's co-authors include Di Shi, Naim Logic, Qing He, Anjan Bose, Jennie Si, Xiaolin Mao, P.E. Crouch, Massimo La Scala, Ray D. Zimmerman and R. Adapa and has published in prestigious journals such as Proceedings of the IEEE, IEEE Transactions on Power Systems and IEEE Transactions on Industry Applications.

In The Last Decade

Daniel Tylavsky

94 papers receiving 1.6k 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 Tylavsky United States 24 1.5k 676 233 166 145 101 1.7k
Bernard C. Lesieutre United States 30 2.8k 1.9× 1.2k 1.7× 524 2.2× 115 0.7× 200 1.4× 134 3.4k
Elham B. Makram United States 22 2.0k 1.4× 1.2k 1.7× 74 0.3× 379 2.3× 102 0.7× 129 2.3k
William D. Stevenson United States 7 2.2k 1.5× 1.4k 2.0× 43 0.2× 43 0.3× 175 1.2× 10 2.5k
Paul M. Anderson United States 13 2.2k 1.5× 1.7k 2.5× 31 0.1× 39 0.2× 77 0.5× 24 2.7k
A.M. Gole Canada 37 5.5k 3.8× 3.5k 5.1× 97 0.4× 150 0.9× 421 2.9× 239 5.8k
N.G. Hingorani United States 22 6.1k 4.2× 3.8k 5.6× 84 0.4× 298 1.8× 197 1.4× 84 6.4k
R. Escarela-Pérez Mexico 20 897 0.6× 450 0.7× 137 0.6× 463 2.8× 38 0.3× 127 1.8k
J.L. Guardado Mexico 20 1.1k 0.8× 640 0.9× 362 1.6× 77 0.5× 399 2.8× 74 1.4k
Jean Mahseredjian Canada 35 5.0k 3.5× 3.5k 5.2× 209 0.9× 218 1.3× 962 6.6× 299 5.6k
H.W. Dommel Canada 34 4.9k 3.4× 3.4k 5.0× 193 0.8× 275 1.7× 1.7k 11.9× 96 5.4k

Countries citing papers authored by Daniel Tylavsky

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Tylavsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Tylavsky

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Tylavsky. A scholar is included among the top collaborators of Daniel Tylavsky 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 Tylavsky. Daniel Tylavsky 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.
Tylavsky, Daniel, et al.. (2018). Demand Modeling of a dc Fast Charging Station. 1–6. 4 indexed citations
2.
Tylavsky, Daniel, et al.. (2016). Bivariate holomorphic embedding applied to the power flow problem. 1–6. 8 indexed citations
3.
Tylavsky, Daniel, et al.. (2015). The Holomorphic Embedding MethodApplied to the Power-Flow Problem. IEEE Transactions on Power Systems. 31(5). 3816–3828. 117 indexed citations
4.
Tylavsky, Daniel, et al.. (2014). Improved dc network model for contingency analysis. 1–6. 3 indexed citations
5.
Shi, Di, Daniel Tylavsky, & Naim Logic. (2012). An Adaptive Method for Detection and Correction of Errors in PMU Measurements. IEEE Transactions on Smart Grid. 3(4). 1575–1583. 82 indexed citations
6.
Tylavsky, Daniel, et al.. (2011). Evaluation of Hottest-Spot Temperature Models using Field Measured Transformer Data. International Journal of Emerging Electric Power Systems. 12(5). 3 indexed citations
7.
Schulze, William D., et al.. (2010). Efficient Market Design and Public Goods, Part I: Economic Models. International Journal of Emerging Electric Power Systems. 11(1). 1 indexed citations
8.
Tylavsky, Daniel. (2003). Active learning in a mediated classroom for a freshman level course in digital systems design. 3. 13B2/13–13B2/18. 1 indexed citations
9.
Scala, Massimo La, et al.. (2003). A highly parallel method for transient stability analysis. 380–386. 3 indexed citations
10.
Scala, Massimo La, Anjan Bose, & Daniel Tylavsky. (2003). A relaxation type multigrid parallel algorithm for power system transient stability analysis. 1954–1957. 1 indexed citations
11.
Tylavsky, Daniel, et al.. (2000). Sources of error in substation distribution transformer dynamic thermal modeling. IEEE Transactions on Power Delivery. 15(1). 178–185. 42 indexed citations
12.
He, Qing, Jennie Si, & Daniel Tylavsky. (2000). Prediction of top-oil temperature for transformers using neural networks. IEEE Transactions on Power Delivery. 15(4). 1205–1211. 89 indexed citations
13.
Tylavsky, Daniel, et al.. (1998). Effects of topology and feeder capacity on substation distribution transformer loading. IEEE Transactions on Power Delivery. 13(4). 1425–1431. 3 indexed citations
14.
Bose, Anjan, et al.. (1991). Parallel Newton type methods for power system stability analysis using local and shared memory multiprocessors. IEEE Transactions on Power Systems. 6(4). 1539–1545. 65 indexed citations
15.
Scala, Massimo La, et al.. (1990). A highly parallel method for transient stability analysis. IEEE Transactions on Power Systems. 5(4). 1439–1446. 55 indexed citations
16.
Tylavsky, Daniel, et al.. (1990). Frequency domain relaxation of power system dynamics. IEEE Transactions on Power Systems. 5(2). 652–658. 4 indexed citations
17.
Tylavsky, Daniel, et al.. (1989). Identifying modeling errors in mine electrical power flow input. Conference Record of the IEEE Industry Applications Society Annual Meeting. 1509–1515 vol.2. 1 indexed citations
18.
Wait, James R. & Daniel Tylavsky. (1988). Comments, with reply, on 'Closed-form solution for underground impedance calculations'. Proceedings of the IEEE. 76(10). 1396–1397. 1 indexed citations
19.
Tylavsky, Daniel. (1987). Conductor Impedance Approximations for Deep-Underground Mines. IEEE Transactions on Industry Applications. IA-23(4). 723–730. 10 indexed citations
20.
Tylavsky, Daniel. (1985). Improvements in Fault Current Calculation Techniques for DC Systems. IEEE Transactions on Industry Applications. IA-21(5). 1127–1135. 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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