Andrew S. Babel

425 total citations
10 papers, 361 citations indexed

About

Andrew S. Babel is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Mechanical Engineering. According to data from OpenAlex, Andrew S. Babel has authored 10 papers receiving a total of 361 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Electrical and Electronic Engineering, 4 papers in Control and Systems Engineering and 1 paper in Mechanical Engineering. Recurrent topics in Andrew S. Babel's work include Multilevel Inverters and Converters (6 papers), Electric Motor Design and Analysis (6 papers) and Sensorless Control of Electric Motors (5 papers). Andrew S. Babel is often cited by papers focused on Multilevel Inverters and Converters (6 papers), Electric Motor Design and Analysis (6 papers) and Sensorless Control of Electric Motors (5 papers). Andrew S. Babel collaborates with scholars based in United States, Austria and China. Andrew S. Babel's co-authors include Elias G. Strangas, Feng Niu, Kui Li, Bingsen Wang, Jorge G. Cintron-Rivera, Shanelle N. Foster and Annette Muetze and has published in prestigious journals such as IEEE Transactions on Power Electronics, IEEE Transactions on Industry Applications and IEEE Transactions on Energy Conversion.

In The Last Decade

Andrew S. Babel

10 papers receiving 348 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrew S. Babel United States 8 344 110 23 21 17 10 361
Mitsuyuki Hombu Japan 9 330 1.0× 131 1.2× 25 1.1× 22 1.0× 11 0.6× 15 347
Wei Tian Germany 12 397 1.2× 214 1.9× 12 0.5× 35 1.7× 24 1.4× 43 437
Osman S. Senturk Denmark 10 393 1.1× 147 1.3× 29 1.3× 23 1.1× 12 0.7× 21 400
M. Pasko Poland 9 257 0.7× 85 0.8× 38 1.7× 82 3.9× 7 0.4× 104 297
Yanan Zhou China 9 261 0.8× 140 1.3× 7 0.3× 28 1.3× 13 0.8× 22 321
M. M. Renge India 13 593 1.7× 200 1.8× 9 0.4× 28 1.3× 18 1.1× 51 620
Kailiang Yu China 13 371 1.1× 214 1.9× 15 0.7× 42 2.0× 26 1.5× 30 422
Quang-Vinh Tran South Korea 7 382 1.1× 203 1.8× 9 0.4× 22 1.0× 32 1.9× 17 404
Vishal Anand India 9 339 1.0× 150 1.4× 11 0.5× 14 0.7× 14 0.8× 28 355
Mike K. Ranjram United States 9 439 1.3× 84 0.8× 14 0.6× 23 1.1× 33 1.9× 26 444

Countries citing papers authored by Andrew S. Babel

Since Specialization
Citations

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

Fields of papers citing papers by Andrew S. Babel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew S. Babel. 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 Andrew S. Babel. The network helps show where Andrew S. Babel may publish in the future.

Co-authorship network of co-authors of Andrew S. Babel

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

All Works

10 of 10 papers shown
1.
Babel, Andrew S., et al.. (2016). Detecting uniform and partial demagnetization for an interior permanent magnet machine. 2874–2880. 2 indexed citations
2.
Niu, Feng, Bingsen Wang, Andrew S. Babel, Kui Li, & Elias G. Strangas. (2015). Comparative Evaluation of Direct Torque Control Strategies for Permanent Magnet Synchronous Machines. IEEE Transactions on Power Electronics. 31(2). 1408–1424. 245 indexed citations
3.
Babel, Andrew S., Jorge G. Cintron-Rivera, Shanelle N. Foster, & Elias G. Strangas. (2014). Evaluation of a Parameter Identification Method for Permanent Magnet AC Machines Through Parametric Sensitivity Analysis. IEEE Transactions on Energy Conversion. 29(1). 240–249. 15 indexed citations
4.
Babel, Andrew S. & Elias G. Strangas. (2014). Condition-based monitoring and prognostic health management of electric machine stator winding insulation. 1855–1861. 23 indexed citations
5.
Babel, Andrew S., et al.. (2014). Inverter Device Nonlinearity Characterization Technique for Use in a Motor Drive System. IEEE Transactions on Industry Applications. 51(3). 2331–2339. 9 indexed citations
6.
Babel, Andrew S., et al.. (2014). Inverter device nonlinearity characterization technique for use in a motor drive system. 2767–2774. 3 indexed citations
7.
Babel, Andrew S., et al.. (2014). Condition monitoring and failure prognosis of IGBT inverters based on on-line characterization. 3059–3066. 10 indexed citations
8.
Babel, Andrew S., Jorge G. Cintron-Rivera, & Elias G. Strangas. (2013). A multiple look-up table torque controller for improved performance of IPM machines. 521–525. 11 indexed citations
9.
Cintron-Rivera, Jorge G., et al.. (2012). A simplified characterization method including saturation effects for permanent magnet Machines. 837–843. 34 indexed citations
10.
Babel, Andrew S., Shanelle N. Foster, Jorge G. Cintron-Rivera, & Elias G. Strangas. (2012). Parametric sensitivity in the analysis and control of permanent magnet synchronous machines. 1034–1040. 9 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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