J. L. Duda

8.0k total citations · 2 hit papers
195 papers, 6.7k citations indexed

About

J. L. Duda is a scholar working on Mechanical Engineering, Spectroscopy and Biomedical Engineering. According to data from OpenAlex, J. L. Duda has authored 195 papers receiving a total of 6.7k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Mechanical Engineering, 60 papers in Spectroscopy and 47 papers in Biomedical Engineering. Recurrent topics in J. L. Duda's work include Adsorption, diffusion, and thermodynamic properties of materials (48 papers), Phase Equilibria and Thermodynamics (33 papers) and Lubricants and Their Additives (28 papers). J. L. Duda is often cited by papers focused on Adsorption, diffusion, and thermodynamic properties of materials (48 papers), Phase Equilibria and Thermodynamics (33 papers) and Lubricants and Their Additives (28 papers). J. L. Duda collaborates with scholars based in United States, Türkiye and Netherlands. J. L. Duda's co-authors include J. S. Vrentas, John M. Zielinski, E. E. Klaus, Ronald P. Danner, Hongtao Ling, Aiqin Hou, J. M. Pérez, Svajus Asadauskas, Ramesh Narayan and Rahul Surana and has published in prestigious journals such as The Journal of Chemical Physics, Journal of Fluid Mechanics and Macromolecules.

In The Last Decade

J. L. Duda

189 papers receiving 6.4k citations

Hit Papers

Diffusion in polymer—solvent systems. I. Reexamination of... 1977 2026 1993 2009 1977 1977 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. L. Duda United States 41 2.2k 2.1k 1.8k 1.5k 1.1k 195 6.7k
J. S. Vrentas United States 38 1.5k 0.7× 2.0k 1.0× 1.5k 0.8× 1.5k 1.0× 903 0.8× 157 5.7k
Roger S. Porter United States 51 2.1k 1.0× 7.4k 3.5× 1.2k 0.6× 1.7k 1.1× 628 0.6× 357 10.7k
T. K. Kwei United States 51 1.1k 0.5× 4.4k 2.1× 1.2k 0.7× 2.3k 1.5× 617 0.6× 300 8.9k
Charlès M. Hansen Denmark 27 1.1k 0.5× 1.6k 0.7× 2.0k 1.1× 2.5k 1.7× 1.1k 1.0× 59 7.4k
Isaac C. Sánchez United States 46 1.1k 0.5× 3.3k 1.5× 3.9k 2.2× 3.1k 2.0× 662 0.6× 140 8.2k
D.W. Van Krevelen Netherlands 24 1.8k 0.8× 3.5k 1.7× 1.1k 0.6× 3.2k 2.2× 368 0.3× 58 8.0k
Frederick M. Fowkes United States 31 835 0.4× 1.3k 0.6× 1.6k 0.9× 1.9k 1.2× 1.2k 1.1× 70 7.5k
Mark A. McHugh United States 39 753 0.3× 1.6k 0.8× 4.8k 2.7× 805 0.5× 1.1k 1.0× 162 6.6k
Sadhan Jana United States 46 871 0.4× 3.1k 1.5× 1.4k 0.8× 2.2k 1.5× 1.5k 1.4× 176 6.4k
Hiroshi Inomata Japan 45 1.5k 0.7× 549 0.3× 4.8k 2.7× 1.5k 1.0× 528 0.5× 242 8.9k

Countries citing papers authored by J. L. Duda

Since Specialization
Citations

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

Fields of papers citing papers by J. L. Duda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. L. Duda

This figure shows the co-authorship network connecting the top 25 collaborators of J. L. Duda. A scholar is included among the top collaborators of J. L. Duda 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 J. L. Duda. J. L. Duda 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.
Duda, J. L.. (2013). Cybernetics, Anarchism and Self-Organisation. 21(1). 52. 9 indexed citations
2.
Duda, J. L., et al.. (2011). Genetic programming for the prediction of tensile strength of cast iron. Archives of Foundry Engineering. 31–34. 1 indexed citations
3.
Danner, Ronald P., et al.. (2007). Application of mass spectrometer-inverse gas chromatography to study polymer–solvent diffusivity and solubility. Journal of Chromatography A. 1157(1-2). 399–407. 8 indexed citations
4.
Duda, J. L., et al.. (2007). Effect of blend composition on diffusivity and solubility of small molecules in polystyrene/poly(vinyl methyl ether) blends. Journal of Polymer Science Part B Polymer Physics. 45(15). 2071–2082. 5 indexed citations
5.
Narayan, Ramesh & J. L. Duda. (2001). Predicting migration of trace amounts of styrene in poly(styrene) below the glass transition temperature. Food and Chemical Toxicology. 39(4). 355–360. 14 indexed citations
6.
Danner, Ronald P., et al.. (2001). Solubility and Diffusivity of Solvents and Nonsolvents in Polysulfone and Polyetherimide. Industrial & Engineering Chemistry Research. 40(14). 3058–3064. 23 indexed citations
7.
Chao, K., et al.. (1999). A Study of Wear Chemistry and Contact Temperature Using a Microsample Four-Ball Wear Test. Tribology Transactions. 42(3). 529–534. 3 indexed citations
8.
Tıhmınlıoğlu, Funda, Rahul Surana, Ronald P. Danner, & J. L. Duda. (1997). Finite concentration inverse gas chromatography: Diffusion and partition measurements. Journal of Polymer Science Part B Polymer Physics. 35(8). 1279–1290. 25 indexed citations
9.
Duda, J. L., et al.. (1996). Evaluation of high-temperature liquid lubricants using the Penn State micro-oxidation test. Lubrication engineering. 52(4). 327–334. 7 indexed citations
10.
Klaus, E. E., et al.. (1996). Development of a bench scale test to evaluate lubricants for use with methanol-fueled engines. Lubrication engineering. 52(10). 753–761. 3 indexed citations
11.
Duda, J. L., et al.. (1996). Diffusion of Solvents in Polybutadiene Rubber Using Capillary Column Inverse Gas Chromatography. Rubber Chemistry and Technology. 69(2). 234–244. 8 indexed citations
12.
Wu, Ping, et al.. (1994). Predicting Viscosity-Shear Relationships of VI Improved Lubricants. SAE technical papers on CD-ROM/SAE technical paper series. 1. 1 indexed citations
13.
Danner, Ronald P., et al.. (1994). Diffusion and Sorption in Ethylene-Propylene Copolymers: Comparison of Experimental Methods. Industrial & Engineering Chemistry Research. 33(10). 2483–2491. 13 indexed citations
14.
Klaus, E. E., et al.. (1992). Thin film deposition behavior of lubricants as a function of temperature - Lubricant stability maps. Lubrication engineering. 48(7). 599–605. 5 indexed citations
15.
Klaus, E. E., et al.. (1992). Study of Copper Salts as High-Temperature Oxidation Inhibitors. Tribology Transactions. 35(2). 316–324. 6 indexed citations
16.
Duda, J. L., et al.. (1988). Capillary viscometry study of non-Newtonian fluids: influence of viscous heating. Industrial & Engineering Chemistry Research. 27(2). 352–361. 21 indexed citations
17.
Vrentas, J. S., J. L. Duda, & Hongtao Ling. (1985). Free‐volume theories for self‐diffusion in polymer–solvent systems. I. Conceptual differences in theories. Journal of Polymer Science Polymer Physics Edition. 23(2). 275–288. 109 indexed citations
18.
Duda, J. L., et al.. (1982). Investigation of the inaccessible pore volume phenomena. 17 indexed citations
19.
Klaus, E. E., et al.. (1981). Permeability modification of porous media by surfactant solutions. Soc. Pet. Eng. AIME, Pap.; (United States). 12(3). 671–5. 1 indexed citations
20.
Duda, J. L. & J. S. Vrentas. (1965). Analysis of Free Diffusion Experiments in Binary Systems. Industrial & Engineering Chemistry Fundamentals. 4(3). 301–308. 11 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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