John Schmall

14 total papers · 802 total citations
13 papers, 497 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 497 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, Greece and Canada. John Schmall's co-authors include Shun-Hsien Huang, José Conto, Yang Zhang, Yang Zhang, Yunzhi Cheng, Jonathan Rose, Andrew Isaacs, Xiaoyu Wang, 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 472 citations

Hit Papers

Real-World Subsynchronous... 2022 2026 2023 2024 2022 50 100 150 200

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
John Schmall 447 368 118 21 17 13 497
Nilesh Modi 521 1.2× 434 1.2× 135 1.1× 19 0.9× 22 1.3× 23 589
Gefei Kou 445 1.0× 331 0.9× 49 0.4× 29 1.4× 22 1.3× 19 479
Ryan Quint 532 1.2× 463 1.3× 109 0.9× 20 1.0× 19 1.1× 21 601
Haobo Zhang 394 0.9× 289 0.8× 74 0.6× 7 0.3× 16 0.9× 18 466
Turhan Demiray 464 1.0× 272 0.7× 48 0.4× 17 0.8× 28 1.6× 26 501
Manisha Maharjan 474 1.1× 451 1.2× 84 0.7× 9 0.4× 25 1.5× 17 515
Mohd. Hafiz Habibuddin 521 1.2× 421 1.1× 34 0.3× 18 0.9× 24 1.4× 32 536
S.A. Nabavi Niaki 520 1.2× 351 1.0× 45 0.4× 28 1.3× 11 0.6× 19 593
Zhao Yu 425 1.0× 394 1.1× 120 1.0× 15 0.7× 9 0.5× 16 559
Sandip Sharma 464 1.0× 281 0.8× 47 0.4× 35 1.7× 15 0.9× 10 487

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

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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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