John Schmall

819 total citations · 1 hit paper
13 papers, 508 citations indexed

About

John Schmall is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Safety, Risk, Reliability and Quality. According to data from OpenAlex, John Schmall has authored 13 papers receiving a total of 508 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Electrical and Electronic Engineering, 7 papers in Control and Systems Engineering and 1 paper in Safety, Risk, Reliability and Quality. Recurrent topics in John Schmall's work include HVDC Systems and Fault Protection (11 papers), Power System Optimization and Stability (6 papers) and Microgrid Control and Optimization (5 papers). John Schmall is often cited by papers focused on HVDC Systems and Fault Protection (11 papers), Power System Optimization and Stability (6 papers) and Microgrid Control and Optimization (5 papers). John Schmall collaborates with scholars based in United States, Australia and Canada. John Schmall's co-authors include Shun-Hsien Huang, José Conto, Yang Zhang, Yang Zhang, Yunzhi Cheng, Xiaoyu Wang, Jonathan Rose, Lingling Fan, Jan Shair and Zhixin Miao and has published in prestigious journals such as IEEE Transactions on Power Systems, IET Renewable Power Generation and 2021 IEEE Power & Energy Society General Meeting (PESGM).

In The Last Decade

John Schmall

11 papers receiving 483 citations

Hit Papers

Real-World Subsynchronous Oscillation Events in Power Gri... 2022 2026 2023 2024 2022 50 100 150 200
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.

  1. Real-World Subsynchronous Oscillation Events in Power Grids With High Penetrations of Inverter-Based Resources
    2022 217 citations Yunzhi Cheng, Lingling Fan et al. IEEE Transactions on Power Systems profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John Schmall United States 7 454 380 122 21 17 13 508
Nilesh Modi Australia 10 535 1.2× 454 1.2× 141 1.2× 19 0.9× 22 1.3× 23 610
Andrew Isaacs United States 8 571 1.3× 484 1.3× 137 1.1× 13 0.6× 18 1.1× 13 633
Omar H. Abdalla Egypt 12 423 0.9× 286 0.8× 37 0.3× 37 1.8× 27 1.6× 82 485
Aleksey Suvorov Russia 12 398 0.9× 382 1.0× 101 0.8× 15 0.7× 5 0.3× 70 474
Yunhui Huang China 9 552 1.2× 525 1.4× 164 1.3× 8 0.4× 36 2.1× 30 589
Mebtu Beza Sweden 11 496 1.1× 405 1.1× 66 0.5× 7 0.3× 9 0.5× 37 532
Shun Hsien Huang United States 8 447 1.0× 402 1.1× 105 0.9× 9 0.4× 12 0.7× 17 500
Hugo N. Villegas Pico United States 9 206 0.5× 178 0.5× 56 0.5× 8 0.4× 23 1.4× 23 262
Qin Jiang China 10 380 0.8× 272 0.7× 79 0.6× 5 0.2× 8 0.5× 44 420
Horacio Silva-Saravia United States 7 259 0.6× 217 0.6× 41 0.3× 18 0.9× 14 0.8× 15 285

Countries citing papers authored by John Schmall

Since Specialization
Citations

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

Fields of papers citing papers by John Schmall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Schmall

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

All Works

13 of 13 papers shown
1.
2.
Cheng, Yunzhi, Lingling Fan, Jonathan Rose, et al.. (2022). Real-World Subsynchronous Oscillation Events in Power Grids With High Penetrations of Inverter-Based Resources. IEEE Transactions on Power Systems. 38(1). 316–330. 217 indexed citations breakdown →
3.
Wang, Xiaoyu, Shun Hsien Huang, John Schmall, Jonathan Rose, & Jian Sun. (2022). A Python Based Automatic Impedance Scan Tool for PSCAD Models. 2022 IEEE Power & Energy Society General Meeting (PESGM). 6 indexed citations
4.
Wang, Xiaoyu, et al.. (2021). A Python Based EMT Model Quality Testing Tool. 2021 IEEE Power & Energy Society General Meeting (PESGM). 1–5. 3 indexed citations
5.
6.
Cheng, Yunzhi, et al.. (2020). ERCOT PSCAD Model Review Platform Development and Performance Comparison with PSS/e Model. 1–5. 5 indexed citations
7.
Kim, Taehyung, et al.. (2020). PMU-Based Evaluation of Transmission Bus Strength through Angle Sensitivity Metrics. 33. 1–5. 1 indexed citations
8.
Schmall, John, et al.. (2019). Stability Assessment of High Penetration of Inverter-Based Generation in the ERCOT Grid. 1–5. 11 indexed citations
9.
10.
Zhang, Yang, et al.. (2014). Evaluating system strength for large-scale wind plant integration. 1–5. 84 indexed citations
11.
Huang, Shun-Hsien, et al.. (2012). Voltage control challenges on weak grids with high penetration of wind generation: ERCOT experience. 1–7. 119 indexed citations
12.
Schmall, John, et al.. (2012). Modeling of wind parks at ERCOT. 1–3. 4 indexed citations
13.
Cheng, Yunzhi, et al.. (2011). Voltage-profile-based approach for developing collection system aggregated models for wind generation resources for grid voltage ride-through studies. IET Renewable Power Generation. 5(5). 332–346. 17 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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