J. Stein

1.1k total citations · 1 hit paper
23 papers, 924 citations indexed

About

J. Stein is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Mechanical Engineering. According to data from OpenAlex, J. Stein has authored 23 papers receiving a total of 924 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Electrical and Electronic Engineering, 13 papers in Control and Systems Engineering and 13 papers in Mechanical Engineering. Recurrent topics in J. Stein's work include Non-Destructive Testing Techniques (11 papers), Machine Fault Diagnosis Techniques (10 papers) and Power Transformer Diagnostics and Insulation (8 papers). J. Stein is often cited by papers focused on Non-Destructive Testing Techniques (11 papers), Machine Fault Diagnosis Techniques (10 papers) and Power Transformer Diagnostics and Insulation (8 papers). J. Stein collaborates with scholars based in United States, Canada and United Kingdom. J. Stein's co-authors include G.B. Kliman, R. D. Endicott, R.A. Koegl, J.S. Hsu, G.C. Stone, M. Šašić, B. K. Gupta, J. K. Nelson, H.G. Sedding and S. Salon and has published in prestigious journals such as IEEE Transactions on Industry Applications, IEEE Transactions on Energy Conversion and IEEE Transactions on Dielectrics and Electrical Insulation.

In The Last Decade

J. Stein

23 papers receiving 833 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Noninvasive detection of broken rotor bars in operating induction motors

1988 427 citations G.B. Kliman, R.A. Koegl et al. IEEE Transactions on Energy Conversion profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
J. Stein United States	10	789	494	342	170	126	23	924
M. Dalva Norway	8	557 0.7×	395 0.8×	333 1.0×	128 0.8×	95 0.8×	15	760
G.C. Soukup United States	5	851 1.1×	478 1.0×	478 1.4×	211 1.2×	170 1.3×	8	1.1k
Tae-June Kang South Korea	12	573 0.7×	337 0.7×	305 0.9×	115 0.7×	157 1.2×	18	733
R.M. Tallam United States	18	1.1k 1.3×	426 0.9×	882 2.6×	130 0.8×	182 1.4×	26	1.4k
Subhasis Nandi Canada	13	748 0.9×	376 0.8×	526 1.5×	126 0.7×	204 1.6×	32	937
F.C. Trutt United States	15	636 0.8×	327 0.7×	491 1.4×	81 0.5×	114 0.9×	36	803
Erik Leandro Bonaldi Brazil	13	443 0.6×	292 0.6×	280 0.8×	130 0.8×	54 0.4×	59	654
Mansour Ojaghi Iran	19	891 1.1×	305 0.6×	796 2.3×	140 0.8×	183 1.5×	61	1.1k
Don-Ha Hwang South Korea	11	438 0.6×	285 0.6×	212 0.6×	111 0.7×	50 0.4×	60	644
R.A. Koegl United States	7	727 0.9×	437 0.9×	331 1.0×	144 0.8×	106 0.8×	8	801

Countries citing papers authored by J. Stein

Since Specialization

Citations

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

Fields of papers citing papers by J. Stein

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Stein

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Haran, Kiruba S., et al.. (2016). Root Cause Analysis of Arcing in Retaining Rings of Turbogenerators. IEEE Transactions on Industry Applications. 53(3). 3129–3136. 8 indexed citations

2.

Nelson, J. K., et al.. (2014). High frequency synchronous generator modeling and testing for electromagnetic signature analysis. 1894–1900. 1 indexed citations

3.

Šašić, M., et al.. (2012). Detecting Turn Shorts in Rotor Windings: A New Test Using Magnetic Flux Monitoring. IEEE Industry Applications Magazine. 19(2). 63–69. 37 indexed citations

4.

Stone, G.C., et al.. (2012). Using magnetic flux monitoring to detect synchronous machine rotor winding shorts. 1–7. 6 indexed citations

5.

Stone, G.C., et al.. (2011). Using magnetic flux monitoring to detect synchronous machine rotor winding shorts. 1–7. 11 indexed citations

6.

Gupta, B. K., H.G. Sedding, G.C. Stone, & J. Stein. (2010). Do hipot tests damage rotating machine insulation?. 1–4. 1 indexed citations

7.

Nelson, J. K. & J. Stein. (2010). A field assessment of PD and EMI methodology applied to large utility generators. IEEE Transactions on Dielectrics and Electrical Insulation. 17(5). 1411–1427. 9 indexed citations

8.

Gupta, B. K., G.C. Stone, & J. Stein. (2009). Stator winding hipot (high potential) testing. 409–413. 10 indexed citations

9.

Stone, G.C., et al.. (2006). INITIAL EXPERIENCE WITH ON-LINE HYDROGENERATOR ROTOR WINDING CONDITION ASSESSMENT USING FLUX MONITORING. 1 indexed citations

10.

Hwang, Il Soon, et al.. (2005). Effect of the Electrochemical Corrosion Potential of Copper on Plugging of Generator Water-Cooling Circuits. CORROSION. 61(6). 559–570. 7 indexed citations

11.

Sedding, H.G., et al.. (2005). High voltage DC ramp testing as a diagnostic of stator insulation condition. 430–433. 4 indexed citations

12.

Sedding, H.G., et al.. (2004). The role of AC & DC hipot testing in stator winding ageing. 455–457. 13 indexed citations

13.

Gupta, B. K., G.C. Stone, & J. Stein. (2002). Use of machine hipot testing in electric utilities. 323–326. 6 indexed citations

14.

Lloyd, B.A., G.C. Stone, & J. Stein. (2002). Development of an expert system to assess machine insulation condition. 33–37. 2 indexed citations

15.

Lloyd, B.A., G.C. Stone, & J. Stein. (2002). Development of an expert system to diagnose motor insulation condition. 16. 87–93. 3 indexed citations

16.

Lloyd, B.A., G.C. Stone, & J. Stein. (2002). Motor insulation condition assessment using expert systems software. 16. 60–67. 4 indexed citations

17.

Hsu, J.S. & J. Stein. (1994). Effects of eccentricities on shaft signals studied through windingless rotors. IEEE Transactions on Energy Conversion. 9(3). 564–571. 15 indexed citations

18.

Kliman, G.B. & J. Stein. (1992). Methods of Motor Current Signature Analysis. Electric Machines & Power Systems. 20(5). 463–474. 277 indexed citations

19.

Kliman, G.B., et al.. (1988). Noninvasive detection of broken rotor bars in operating induction motors. IEEE Transactions on Energy Conversion. 3(4). 873–879. 427 indexed citations breakdown →

20.

Stein, J., et al.. (1980). The Torsional Stress Analyzer for Continuously Monitoring Turbine-Generators. IEEE Transactions on Power Apparatus and Systems. PAS-99(2). 703–710. 22 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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