David J. Keffer

3.8k total citations
153 papers, 3.2k citations indexed

About

David J. Keffer is a scholar working on Biomedical Engineering, Materials Chemistry and Electrical and Electronic Engineering. According to data from OpenAlex, David J. Keffer has authored 153 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Biomedical Engineering, 45 papers in Materials Chemistry and 37 papers in Electrical and Electronic Engineering. Recurrent topics in David J. Keffer's work include Phase Equilibria and Thermodynamics (26 papers), Fuel Cells and Related Materials (20 papers) and Rheology and Fluid Dynamics Studies (20 papers). David J. Keffer is often cited by papers focused on Phase Equilibria and Thermodynamics (26 papers), Fuel Cells and Related Materials (20 papers) and Rheology and Fluid Dynamics Studies (20 papers). David J. Keffer collaborates with scholars based in United States, South Korea and Taiwan. David J. Keffer's co-authors include Brian J. Edwards, Myvizhi Esai Selvan, Shengting Cui, Junwu Liu, Chunggi Baig, Alon V. McCormick, H. T. Davis, W.V. Steele, Stephen J. Paddison and Donald M. Nicholson and has published in prestigious journals such as Science, Journal of the American Chemical Society and Physical Review Letters.

In The Last Decade

David J. Keffer

150 papers receiving 3.1k 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 J. Keffer United States 32 1.1k 1.0k 985 517 505 153 3.2k
Tsuyoshi Nakajima Japan 28 1.4k 1.3× 830 0.8× 429 0.4× 671 1.3× 210 0.4× 222 3.4k
Kimberly Chenoweth United States 13 2.0k 1.8× 436 0.4× 788 0.8× 259 0.5× 287 0.6× 20 3.4k
Miguel Castro Spain 38 2.1k 1.9× 670 0.7× 1.1k 1.1× 125 0.2× 250 0.5× 175 4.6k
Rolf W. Berg Denmark 32 1.5k 1.3× 842 0.8× 618 0.6× 296 0.6× 97 0.2× 181 3.6k
Toshiya Otomo Japan 33 1.9k 1.7× 992 1.0× 321 0.3× 308 0.6× 176 0.3× 225 4.0k
Bamin Khomami United States 39 1.3k 1.2× 377 0.4× 683 0.7× 2.8k 5.4× 982 1.9× 219 4.9k
Mario Blanco United States 29 1.2k 1.1× 1.1k 1.1× 613 0.6× 82 0.2× 294 0.6× 70 3.9k
Kazuo Kojima Japan 31 1.3k 1.2× 536 0.5× 1.7k 1.7× 1.3k 2.4× 137 0.3× 186 3.6k
Collin D. Wick United States 28 839 0.8× 302 0.3× 804 0.8× 268 0.5× 253 0.5× 88 2.7k
Brian F. Woodfield United States 43 3.8k 3.4× 900 0.9× 830 0.8× 197 0.4× 212 0.4× 193 6.5k

Countries citing papers authored by David J. Keffer

Since Specialization
Citations

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

Fields of papers citing papers by David J. Keffer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David J. Keffer

This figure shows the co-authorship network connecting the top 25 collaborators of David J. Keffer. A scholar is included among the top collaborators of David J. Keffer 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 J. Keffer. David J. Keffer 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.
Keffer, David J., et al.. (2024). Paper fiber-reinforced polypropylene composites from nonwoven preforms: A study on compression molding optimization from a manufacturing perspective. Composites Part A Applied Science and Manufacturing. 185. 108339–108339. 9 indexed citations
2.
Akamo, Damilola O., et al.. (2024). Nanoscale Stabilization Mechanism of Sodium Sulfate Decahydrate at Polyelectrolyte Interfaces. ACS Omega. 9(16). 18051–18061. 2 indexed citations
3.
Harper, David P., et al.. (2024). Carbon Dioxide Capture on Oxygen- and Nitrogen-Containing Carbon Quantum Dots. The Journal of Physical Chemistry B. 128(35). 8530–8545. 3 indexed citations
4.
Akamo, Damilola O., Kai Li, Navin Kumar, et al.. (2023). Enhanced thermal reliability and performance of calcium chloride hexahydrate phase change material using cellulose nanofibril and graphene nanoplatelet. Journal of Energy Storage. 75. 109560–109560. 19 indexed citations
5.
Yu, Lu, Ishan Bajaj, David J. Keffer, et al.. (2023). Tailored mesoporous structures of lignin-derived nano-carbons for multiple applications. Carbon. 213. 118285–118285. 12 indexed citations
6.
Akamo, Damilola O., Navin Kumar, Yuzhan Li, et al.. (2023). Stabilization of low-cost phase change materials for thermal energy storage applications. iScience. 26(7). 107175–107175. 19 indexed citations
7.
Everett, Michelle, et al.. (2021). Local structure and distortions of mixed methane-carbon dioxide hydrates. Communications Chemistry. 4(1). 6–6. 13 indexed citations
8.
Nicholson, Donald M., et al.. (2021). Entropy Pair Functional Theory: Direct Entropy Evaluation Spanning Phase Transitions. Entropy. 23(2). 234–234. 10 indexed citations
9.
Harper, David P., et al.. (2020). Lithium and sodium ion binding in nanostructured carbon composites. Molecular Simulation. 47(10-11). 878–887. 9 indexed citations
10.
Chatterjee, Sabornie, et al.. (2014). Conversion of Lignin Precursors to Carbon Fibers with Nanoscale Graphitic Domains. ACS Sustainable Chemistry & Engineering. 2(8). 2002–2010. 59 indexed citations
11.
Joy, David C., et al.. (2013). Impact of oxidation on nanoparticle adhesion to carbon substrates. RSC Advances. 3(36). 15792–15792. 15 indexed citations
12.
Selvan, Myvizhi Esai, et al.. (2011). Applications of a general random-walk theory for confined diffusion. Physical Review E. 83(1). 11120–11120. 32 indexed citations
13.
Edwards, Brian J., et al.. (2009). Single-chain dynamics of linear polyethylene liquids under shear flow. Physics Letters A. 373(7). 769–772. 31 indexed citations
14.
Morton, S. A., et al.. (2008). Effect of Low Concentration Salt on Organic Contact Angle in Ionic Surfactant Solutions: Insight from Theory and Experiment. Separation Science and Technology. 43(2). 310–330. 8 indexed citations
15.
Edwards, Brian J., et al.. (2007). Visualization of conformational changes of linear short-chain polyethylenes under shear and elongational flows. Journal of Molecular Graphics and Modelling. 26(7). 1046–1056. 16 indexed citations
16.
Keffer, David J., et al.. (2006). Surfactant and Electric Field Strength Effects on Surface Tension at Liquid/Liquid/Solid Interfaces. Langmuir. 22(12). 5358–5365. 8 indexed citations
17.
Morton, S. A., David J. Keffer, Robert M. Counce, David W. DePaoli, & Michael Z. Hu. (2003). Thermodynamic method for prediction of surfactant-modified oil droplet contact angle. Journal of Colloid and Interface Science. 270(1). 229–241. 21 indexed citations
18.
Keffer, David J., et al.. (2003). USING MOLECULAR-LEVEL SIMULATIONS TO DETERMINE DIFFUSIVITIES In the Classroom. 1 indexed citations
19.
Keffer, David J., et al.. (2003). Modeling shear thickening in dilute polymer solutions: Temperature, concentration, and molecular weight dependencies. Journal of Applied Polymer Science. 90(11). 2997–3011. 29 indexed citations
20.
Keffer, David J., et al.. (1996). A compendium of potential energy maps of zeolites and molecular sieves. Journal of Molecular Graphics. 14(2). 108–116. 28 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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