Kurtis P. Recknagle

859 total citations
21 papers, 633 citations indexed

About

Kurtis P. Recknagle is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Kurtis P. Recknagle has authored 21 papers receiving a total of 633 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Materials Chemistry, 11 papers in Electrical and Electronic Engineering and 6 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Kurtis P. Recknagle's work include Advancements in Solid Oxide Fuel Cells (11 papers), Fuel Cells and Related Materials (9 papers) and Electrocatalysts for Energy Conversion (6 papers). Kurtis P. Recknagle is often cited by papers focused on Advancements in Solid Oxide Fuel Cells (11 papers), Fuel Cells and Related Materials (9 papers) and Electrocatalysts for Energy Conversion (6 papers). Kurtis P. Recknagle collaborates with scholars based in United States, Canada and Qatar. Kurtis P. Recknagle's co-authors include Mohammad A. Khaleel, L.A. Chick, D.R. Rector, R.E. Williford, Brian J. Koeppel, Xiaoliang Wei, Greg Coffey, Vincent Sprenkle, Jie Bao and Alasdair Crawford and has published in prestigious journals such as Journal of Power Sources, Journal of The Electrochemical Society and Atmospheric Environment.

In The Last Decade

Kurtis P. Recknagle

19 papers receiving 611 citations

Author Peers

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

Author Last Decade Papers Cites
Kurtis P. Recknagle 440 384 149 143 141 21 633
Mikko Pihlatie 527 1.2× 759 2.0× 120 0.8× 129 0.9× 211 1.5× 42 1.0k
Zezhi Zeng 362 0.8× 293 0.8× 96 0.6× 89 0.6× 203 1.4× 29 807
Xinghu Li 507 1.2× 139 0.4× 26 0.2× 60 0.4× 485 3.4× 43 780
Aayan Banerjee 233 0.5× 439 1.1× 122 0.8× 157 1.1× 46 0.3× 28 696
Francisco Elizalde‐Blancas 294 0.7× 321 0.8× 222 1.5× 64 0.4× 38 0.3× 42 666
Marek Skrzypkiewicz 206 0.5× 358 0.9× 150 1.0× 108 0.8× 30 0.2× 28 533
Jung Ho Kang 282 0.6× 185 0.5× 131 0.9× 43 0.3× 41 0.3× 21 456
Hyung-Man Kim 570 1.3× 239 0.6× 399 2.7× 47 0.3× 141 1.0× 52 821
Luca Mastropasqua 172 0.4× 344 0.9× 109 0.7× 169 1.2× 48 0.3× 35 616
Salvatore De Angelis 329 0.7× 358 0.9× 128 0.9× 44 0.3× 73 0.5× 24 653

Countries citing papers authored by Kurtis P. Recknagle

Since Specialization
Citations

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

Fields of papers citing papers by Kurtis P. Recknagle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kurtis P. Recknagle. 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 Kurtis P. Recknagle. The network helps show where Kurtis P. Recknagle may publish in the future.

Co-authorship network of co-authors of Kurtis P. Recknagle

This figure shows the co-authorship network connecting the top 25 collaborators of Kurtis P. Recknagle. A scholar is included among the top collaborators of Kurtis P. Recknagle 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 Kurtis P. Recknagle. Kurtis P. Recknagle 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.
Bao, Jie, et al.. (2022). Modeling Framework to Analyze Performance and Structural Reliability of Solid Oxide Electrolysis Cells. Journal of The Electrochemical Society. 169(5). 54523–54523. 6 indexed citations
2.
Yu, Xiao‐Ying, et al.. (2020). Modeling filtered building effluent stack sampling points for qualification criteria. Progress in Nuclear Energy. 124. 103338–103338. 2 indexed citations
3.
4.
Kabilan, Senthil, Kurtis P. Recknagle, Richard E. Jacob, et al.. (2016). Computational fluid dynamics modeling of Bacillus anthracis spore deposition in rabbit and human respiratory airways. Journal of Aerosol Science. 99. 64–77. 26 indexed citations
5.
Yu, Xiao‐Ying, et al.. (2016). Modeling and Qualification of a Modified Emission Unit for Radioactive Air Emissions Stack Sampling Compliance. Health Physics. 111(5). 432–441. 3 indexed citations
6.
Ryan, Emily, et al.. (2012). The Need for Nano-Scale Modeling in Solid Oxide Fuel Cells. Journal of Nanoscience and Nanotechnology. 12(8). 6758–6768.
7.
Ippolito, James A. & Kurtis P. Recknagle. (2011). Modeling of Pressurized Electrochemistry and Steam-Methane Reforming in Solid Oxide Fuel Cells Using Star-CD. ECS Transactions. 30(1). 179–194. 1 indexed citations
8.
Kim, Dohyung, et al.. (2011). Modeling of On-Cell Reforming Reaction for Planar SOFC Stacks. 355–363. 1 indexed citations
9.
Recknagle, Kurtis P., Emily Ryan, Brian J. Koeppel, Lenna A. Mahoney, & Mohammad A. Khaleel. (2010). Modeling of electrochemistry and steam–methane reforming performance for simulating pressurized solid oxide fuel cell stacks. Journal of Power Sources. 195(19). 6637–6644. 25 indexed citations
10.
Ryan, Emily, Alexandre M. Tartakovsky, Kurtis P. Recknagle, Mohammad A. Khaleel, & Cristina H. Amon. (2010). Pore-scale modeling of the reactive transport of chromium in the cathode of a solid oxide fuel cell. Journal of Power Sources. 196(1). 287–300. 12 indexed citations
11.
Lai, Kevin, Brian J. Koeppel, Kyoo Sil Choi, et al.. (2010). A quasi-two-dimensional electrochemistry modeling tool for planar solid oxide fuel cell stacks. Journal of Power Sources. 196(6). 3204–3222. 46 indexed citations
12.
Recknagle, Kurtis P., et al.. (2009). SCALED TESTS AND MODELING OF EFFLUENT STACK SAMPLING LOCATION MIXING. Health Physics. 96(2). 164–173. 8 indexed citations
14.
Recknagle, Kurtis P., et al.. (2007). Analysis of Percent On-Cell Reformation of Methane in SOFC Stacks and the Effects on Thermal, Electrical, and Mechanical Performance. ECS Transactions. 5(1). 473–478. 7 indexed citations
15.
Khaleel, Mohammad A., D.R. Rector, Zijing Lin, K.I. Johnson, & Kurtis P. Recknagle. (2005). Multiscale Electrochemistry Modeling of Solid Oxide Fuel Cells. International Journal for Multiscale Computational Engineering. 3(1). 33–48. 10 indexed citations
16.
Khaleel, Mohammad A., et al.. (2005). SECA Core Program - Recent Development of Modeling Activities at PNNL. University of North Texas Digital Library (University of North Texas). 1 indexed citations
17.
Keegan, Kevin G., et al.. (2002). Analysis of a Planar Solid Oxide Fuel Cell Based Automotive Auxiliary Power Unit. SAE technical papers on CD-ROM/SAE technical paper series. 41 indexed citations
18.
Recknagle, Kurtis P., R.E. Williford, L.A. Chick, D.R. Rector, & Mohammad A. Khaleel. (2002). Three-dimensional thermo-fluid electrochemical modeling of planar SOFC stacks. Journal of Power Sources. 113(1). 109–114. 254 indexed citations
19.
Recknagle, Kurtis P., et al.. (1994). Properties of nanocrystalline zinc produced by gas condensation. Nanostructured Materials. 4(1). 103–111. 11 indexed citations
20.
Xia, Qiangfei, C. H. Hamilton, Kurtis P. Recknagle, C. T. Crowe, & Gary S. Collins. (1994). Mechanical Characteristics of Nanostructure Zinc. Materials science forum. 170-172. 147–152. 3 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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