Chris Gearhart

1.2k total citations · 1 hit paper
31 papers, 868 citations indexed

About

Chris Gearhart is a scholar working on Electrical and Electronic Engineering, Automotive Engineering and Computational Theory and Mathematics. According to data from OpenAlex, Chris Gearhart has authored 31 papers receiving a total of 868 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Electrical and Electronic Engineering, 9 papers in Automotive Engineering and 4 papers in Computational Theory and Mathematics. Recurrent topics in Chris Gearhart's work include Electric Vehicles and Infrastructure (10 papers), Advanced Battery Technologies Research (6 papers) and Advanced Multi-Objective Optimization Algorithms (4 papers). Chris Gearhart is often cited by papers focused on Electric Vehicles and Infrastructure (10 papers), Advanced Battery Technologies Research (6 papers) and Advanced Multi-Objective Optimization Algorithms (4 papers). Chris Gearhart collaborates with scholars based in United States, Spain and France. Chris Gearhart's co-authors include M. A. Tamor, Ciro A. Soto, Matteo Muratori, Daphne Koller, Carlos Guestrin, D. J. Arent, Jennifer Kurtz, Morgan Bazilian, À. Ramos and A. Polls and has published in prestigious journals such as Physical review. B, Condensed matter, Renewable and Sustainable Energy Reviews and Journal of Power Sources.

In The Last Decade

Chris Gearhart

30 papers receiving 816 citations

Hit Papers

The rise of electric vehicles—2020 status and future expe... 2021 2026 2022 2024 2021 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chris Gearhart United States 11 440 368 155 94 62 31 868
Guillaume Colin France 18 375 0.9× 576 1.6× 27 0.2× 47 0.5× 15 0.2× 71 1.0k
Jinxiang Wang China 16 414 0.9× 41 0.1× 50 0.3× 49 0.5× 26 0.4× 129 919
Sung‐Kwan Joo South Korea 18 1.1k 2.6× 196 0.5× 116 0.7× 74 0.8× 3 0.0× 86 1.4k
Benoît Delinchant France 13 377 0.9× 42 0.1× 74 0.5× 38 0.4× 31 0.5× 83 770
Danielle Soban United States 13 189 0.4× 151 0.4× 25 0.2× 8 0.1× 23 0.4× 46 584
Hasan Yılmaz United States 19 453 1.0× 140 0.4× 500 3.2× 93 1.0× 5 0.1× 46 1.3k
Michael Schmidt Germany 12 242 0.6× 64 0.2× 24 0.2× 13 0.1× 8 0.1× 60 549
Amin Rajabi Australia 11 577 1.3× 85 0.2× 57 0.4× 34 0.4× 1 0.0× 39 724
Zhenhua Liu China 24 1.4k 3.1× 161 0.4× 75 0.5× 150 1.6× 4 0.1× 82 2.1k

Countries citing papers authored by Chris Gearhart

Since Specialization
Citations

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

Fields of papers citing papers by Chris Gearhart

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chris Gearhart

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

All Works

20 of 20 papers shown
1.
Gearhart, Chris, et al.. (2022). Bayesian optimized collection strategies for fatigue strength testing. Fatigue & Fracture of Engineering Materials & Structures. 46(1). 228–243. 5 indexed citations
2.
Romero‐Lankao, Patricia, Alana Wilson, Joshua Sperling, et al.. (2021). Of actors, cities and energy systems: advancing the transformative potential of urban electrification. 3(3). 32002–32002. 10 indexed citations
3.
Muratori, Matteo, Paige Jadun, Brian Bush, et al.. (2021). Exploring the future energy-mobility nexus: The transportation energy & mobility pathway options (TEMPO) model. Transportation Research Part D Transport and Environment. 98. 102967–102967. 16 indexed citations
4.
Muratori, Matteo, Marcus Alexander, D. J. Arent, et al.. (2021). The rise of electric vehicles—2020 status and future expectations. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 3(2). 22002–22002. 273 indexed citations breakdown →
5.
Kurtz, Jennifer, et al.. (2020). Predicting demand for hydrogen station fueling. International Journal of Hydrogen Energy. 45(56). 32298–32310. 50 indexed citations
6.
Romero‐Lankao, Patricia, Alana Wilson, Joshua Sperling, et al.. (2019). Urban Electrification: Knowledge Pathway Toward an Integrated Research and Development Agenda. SSRN Electronic Journal. 9 indexed citations
7.
Kurtz, Jennifer, et al.. (2018). Renewable Hydrogen-Economically Viable: Integration into the U.S. Transportation Sector. IEEE Electrification Magazine. 6(1). 8–18. 27 indexed citations
8.
Tamor, M. A., Chris Gearhart, & Ciro A. Soto. (2012). A statistical approach to estimating acceptance of electric vehicles and electrification of personal transportation. Transportation Research Part C Emerging Technologies. 26. 125–134. 119 indexed citations
9.
Gearhart, Chris, et al.. (2012). A Pareto Frontier Analysis of Renewable-Energy Consumption, Range, and Cost for Hydrogen Fuel Cell vs. Battery Electric Vehicles. SAE International journal of alternative powertrains. 1(1). 354–364. 2 indexed citations
10.
Gearhart, Chris, et al.. (2011). Probabilistic analysis of energy exchange processes for automotive hybrid powertrain. Journal of Power Sources. 196(18). 7784–7790. 1 indexed citations
11.
Gearhart, Chris, et al.. (2008). A Novel Method for Objective Vision Testing in Canine Models of Inherited Retinal Disease. Investigative Ophthalmology & Visual Science. 49(8). 3568–3568. 31 indexed citations
12.
Majeske, Karl D. & Chris Gearhart. (2006). Approving Measurement Systems when Using Derived Values. Quality Engineering. 18(4). 523–532. 7 indexed citations
13.
Farooq, Sami, et al.. (2005). Model of IIHS Side Impact Torso Response Measures Using Transfer Function Equations. SAE technical papers on CD-ROM/SAE technical paper series. 1. 2 indexed citations
14.
Guestrin, Carlos, et al.. (2003). Generalizing plans to new environments in relational MDPs. International Joint Conference on Artificial Intelligence. 1003–1010. 96 indexed citations
15.
Gearhart, Chris, et al.. (2002). Nonlinear forecasting with wavelet neural networks. 2. 1111–1116. 3 indexed citations
16.
Gearhart, Chris. (2001). Recent progress in crash pulse analysis. International Journal of Vehicle Design. 26(4). 395–395. 5 indexed citations
17.
Yang, R. J., et al.. (2000). Approximations for Safety Optimization of Large Systems. 763–772. 49 indexed citations
18.
Dickhoff, W. H., et al.. (1999). Phase shifts and in-medium cross sections for dressed nucleons in nuclear matter. Physical Review C. 60(6). 23 indexed citations
19.
Gearhart, Chris, W. H. Dickhoff, A. Polls, & À. Ramos. (1996). SOME CONSEQUENCES OF DRESSING NUCLEONS. International Journal of Modern Physics E. 5(3). 461–487. 4 indexed citations
20.
Gearhart, Chris & J. C. Hicks. (1995). Self-consistent spin-spin and density-density correlations in the Hubbard model. Physical review. B, Condensed matter. 52(11). 7787–7790. 1 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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