David Johnson

3.5k total citations
155 papers, 2.7k citations indexed

About

David Johnson is a scholar working on Mechanical Engineering, Materials Chemistry and Aerospace Engineering. According to data from OpenAlex, David Johnson has authored 155 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Mechanical Engineering, 50 papers in Materials Chemistry and 24 papers in Aerospace Engineering. Recurrent topics in David Johnson's work include Intermetallics and Advanced Alloy Properties (39 papers), Solidification and crystal growth phenomena (18 papers) and Flood Risk Assessment and Management (16 papers). David Johnson is often cited by papers focused on Intermetallics and Advanced Alloy Properties (39 papers), Solidification and crystal growth phenomena (18 papers) and Flood Risk Assessment and Management (16 papers). David Johnson collaborates with scholars based in United States, Japan and South Korea. David Johnson's co-authors include M. Yamaguchi, H. Inui, B.F. Oliver, R.D. Noebe, J. Daniel Whittenberger, Matthew John M. Krane, C.T. Liu, T. Yamanaka, Haruyuki Inui and Jordan R. Fischbach and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and SHILAP Revista de lepidopterología.

In The Last Decade

David Johnson

139 papers receiving 2.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Johnson United States 29 1.9k 1.3k 534 234 177 155 2.7k
Daniel K. Schreiber United States 31 879 0.5× 1.6k 1.3× 685 1.3× 178 0.8× 825 4.7× 144 3.3k
Jiayan Li China 29 1.1k 0.6× 1.1k 0.9× 571 1.1× 349 1.5× 484 2.7× 186 3.6k
Keiichi N. Ishihara Japan 36 1.5k 0.8× 1.6k 1.2× 189 0.4× 139 0.6× 236 1.3× 221 3.9k
Jicheng He China 26 1.8k 1.0× 1.2k 0.9× 507 0.9× 55 0.2× 404 2.3× 203 2.6k
Wen Yang China 29 965 0.5× 1.9k 1.5× 250 0.5× 370 1.6× 504 2.8× 242 4.9k
Xiaobin Zhang China 39 1.1k 0.6× 2.2k 1.8× 443 0.8× 161 0.7× 603 3.4× 190 4.5k
Gérard L. Vignoles France 33 845 0.5× 1.5k 1.2× 224 0.4× 798 3.4× 358 2.0× 138 3.3k
J. A. Charles United Kingdom 23 1.1k 0.6× 1.1k 0.9× 245 0.5× 273 1.2× 165 0.9× 109 2.9k
Ulrich Vogt Switzerland 35 661 0.4× 1.9k 1.5× 99 0.2× 447 1.9× 837 4.7× 115 4.0k
Peter R. Sahm Germany 21 773 0.4× 599 0.5× 509 1.0× 48 0.2× 107 0.6× 118 1.5k

Countries citing papers authored by David Johnson

Since Specialization
Citations

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

Fields of papers citing papers by David Johnson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Johnson

This figure shows the co-authorship network connecting the top 25 collaborators of David Johnson. A scholar is included among the top collaborators of David Johnson 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 David Johnson. David Johnson 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.
Kim, Taereem, Gabriele Villarini, Andreas F. Prein, et al.. (2025). Climate change reduces the wind chill hazard across Alaska. Communications Earth & Environment. 6(1).
2.
Johnson, David, et al.. (2025). Evaluating critical and essential service access vulnerabilities. Environmental Research Letters. 20(8). 84060–84060.
3.
Villarini, Gabriele, et al.. (2025). Precipitation‐ and Temperature‐Driven Future Changes to Flooding in Alaska. Geophysical Research Letters. 52(3). 2 indexed citations
4.
Kim, Taereem, Gabriele Villarini, J. Done, et al.. (2025). Ensemble downscaled climate dataset for Alaska and Hawaii under historical and future conditions. Scientific Data. 12(1). 1089–1089.
5.
6.
Kim, Taereem, Gabriele Villarini, J. Done, et al.. (2024). Dominant Sources of Uncertainty for Downscaled Climate: A Military Installation Perspective. Journal of Geophysical Research Atmospheres. 129(12). 1 indexed citations
7.
Johnson, David, et al.. (2023). Incorporating learning into direct policy search for flood risk management. Risk Analysis. 44(1). 190–202. 3 indexed citations
8.
Johnson, David, Stephen Polasky, & Jacob Ricker‐Gilbert. (2023). Policy collision: a framework to identify where polycentric, multi-objective sustainability solutions are needed. Environmental Research Letters. 18(2). 25004–25004. 2 indexed citations
9.
Liu, Jing, Maksym Chepeliev, David Johnson, et al.. (2023). US climate policy yields water quality cobenefits in the Mississippi Basin and Gulf of Mexico. Proceedings of the National Academy of Sciences. 120(43). e2302087120–e2302087120. 6 indexed citations
10.
Johnson, David, et al.. (2022). Rapid, risk‐based levee design framework for greater risk reduction at lower cost than standards‐based design. Journal of Flood Risk Management. 15(2). 4 indexed citations
11.
Chen, Fu‐Chen, et al.. (2022). Deep Learning–Based Building Attribute Estimation from Google Street View Images for Flood Risk Assessment Using Feature Fusion and Task Relation Encoding. Journal of Computing in Civil Engineering. 36(6). 19 indexed citations
12.
Johnson, David, et al.. (2021). Quantifying the greenhouse gas emissions abatement cost of biomass co-firing in coal-powered electricity generation. International Journal of Environmental Science and Technology. 19(5). 3469–3480. 3 indexed citations
13.
Johnson, David, et al.. (2019). Variability of Best-Estimate Flood Depth Return Periods in Coastal Louisiana. Journal of Marine Science and Engineering. 7(5). 145–145.
14.
Redon, Fabien, et al.. (2019). Cold-Start WHTC and WHSC Testing Results on Multi-Cylinder Opposed-Piston Engine Demonstrating Low CO<sub>2</sub> Emissions while Meeting BS-VI Emissions and Enabling Aftertreatment Downsizing. SAE International Journal of Advances and Current Practices in Mobility. 1(1). 23–37. 5 indexed citations
15.
Johnson, David. (2019). Integrated Risk Assessment and Management Methods Are Necessary for Effective Implementation of Natural Hazards Policy. Risk Analysis. 41(7). 1240–1247. 20 indexed citations
16.
Fischbach, Jordan R., David Johnson, & David G. Groves. (2019). Flood damage reduction benefits and costs in Louisiana’s 2017 Coastal Master Plan. Environmental Research Communications. 1(11). 111001–111001. 15 indexed citations
17.
Johnson, David. (2018). Improved Methods for Estimating Flood Depth Exceedances Within Storm Surge Protection Systems. Risk Analysis. 39(4). 890–905. 4 indexed citations
18.
Fischbach, Jordan R., David Johnson, & Kenneth Kuhn. (2016). Bias and Efficiency Tradeoffs in the Selection of Storm Suites Used to Estimate Flood Risk. Journal of Marine Science and Engineering. 4(1). 10–10. 8 indexed citations
19.
Lin, Hua‐Tay, et al.. (2012). Combustion Synthesis of Doped Thermoelectric Oxides. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 48(2). 1004–6. 2 indexed citations
20.
Johnson, David, et al.. (1976). Characterization of the thermosonic wire bonding technique. STIN. 77. 10438. 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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