Shawn Midlam‐Mohler

95 total papers · 1.1k total citations
75 papers, 890 citations indexed

About

Shawn Midlam‐Mohler is a scholar working on Automotive Engineering, Control and Systems Engineering and Fluid Flow and Transfer Processes. According to data from OpenAlex, Shawn Midlam‐Mohler has authored 75 papers receiving a total of 890 indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Automotive Engineering, 27 papers in Control and Systems Engineering and 26 papers in Fluid Flow and Transfer Processes. Recurrent topics in Shawn Midlam‐Mohler's work include Advanced Combustion Engine Technologies (26 papers), Electric and Hybrid Vehicle Technologies (25 papers) and Vehicle emissions and performance (23 papers). Shawn Midlam‐Mohler is often cited by papers focused on Advanced Combustion Engine Technologies (26 papers), Electric and Hybrid Vehicle Technologies (25 papers) and Vehicle emissions and performance (23 papers). Shawn Midlam‐Mohler collaborates with scholars based in United States, Italy and Poland. Shawn Midlam‐Mohler's co-authors include Giorgio Rizzoni, Vincenzo Marano, Qiuming Gong, Yann Guezennec, Marcello Canova, Qingwu Gong, Punit Tulpule, Stephen Yurkovich, Fabio Chiara and Sheikh A. Akbar and has published in prestigious journals such as Journal of Materials Science, IEEE Transactions on Smart Grid and IEEE Transactions on Control Systems Technology.

In The Last Decade

Shawn Midlam‐Mohler

70 papers receiving 855 citations

Author Peers

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

Author Last Decade Papers Cites
Shawn Midlam‐Mohler 603 463 243 172 107 75 890
Michael Duoba 740 1.2× 480 1.0× 222 0.9× 98 0.6× 87 0.8× 47 934
Youtong Zhang 530 0.9× 575 1.2× 111 0.5× 193 1.1× 136 1.3× 72 1.0k
Henning Lohse-Busch 712 1.2× 482 1.0× 278 1.1× 79 0.5× 127 1.2× 36 1.0k
Woongchul Choi 267 0.4× 583 1.3× 121 0.5× 138 0.8× 87 0.8× 53 886
Ren He 602 1.0× 381 0.8× 113 0.5× 144 0.8× 94 0.9× 97 961
Luciano Rolando 593 1.0× 379 0.8× 229 0.9× 48 0.3× 36 0.3× 51 712
Daniela Anna Misul 578 1.0× 243 0.5× 474 2.0× 112 0.7× 72 0.7× 104 935
Tiezhu Zhang 367 0.6× 273 0.6× 109 0.4× 122 0.7× 55 0.5× 68 733
Hui Xie 378 0.6× 179 0.4× 309 1.3× 454 2.6× 35 0.3× 75 938
Shean Huff 497 0.8× 158 0.3× 355 1.5× 42 0.2× 246 2.3× 41 792

Countries citing papers authored by Shawn Midlam‐Mohler

Since Specialization
Citations

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

Fields of papers citing papers by Shawn Midlam‐Mohler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shawn Midlam‐Mohler. 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 Shawn Midlam‐Mohler. The network helps show where Shawn Midlam‐Mohler may publish in the future.

Co-authorship network of co-authors of Shawn Midlam‐Mohler

This figure shows the co-authorship network connecting the top 25 collaborators of Shawn Midlam‐Mohler. A scholar is included among the top collaborators of Shawn Midlam‐Mohler 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 Shawn Midlam‐Mohler. Shawn Midlam‐Mohler 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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