J.A. Davis

2.4k total citations · 2 hit papers
16 papers, 2.1k citations indexed

About

J.A. Davis is a scholar working on Materials Chemistry, Mechanics of Materials and Computational Mechanics. According to data from OpenAlex, J.A. Davis has authored 16 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Materials Chemistry, 8 papers in Mechanics of Materials and 5 papers in Computational Mechanics. Recurrent topics in J.A. Davis's work include Metal and Thin Film Mechanics (8 papers), Ion-surface interactions and analysis (5 papers) and Diamond and Carbon-based Materials Research (4 papers). J.A. Davis is often cited by papers focused on Metal and Thin Film Mechanics (8 papers), Ion-surface interactions and analysis (5 papers) and Diamond and Carbon-based Materials Research (4 papers). J.A. Davis collaborates with scholars based in United States, Belarus and Australia. J.A. Davis's co-authors include Michael J. Natan, Michael A. Jackson, Patrick C. Smith, Katherine C. Grabar, Paul J. Wilbur, Robin Bright, Ronit Freeman, D. L. Williamson, Michael D. Musick and John J. Vajo and has published in prestigious journals such as Science, Journal of the American Chemical Society and Inorganic Chemistry.

In The Last Decade

J.A. Davis

15 papers receiving 2.0k citations

Hit Papers

Self-Assembled Metal Colloid Monolayers: An Approach to S... 1995 2026 2005 2015 1995 1996 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J.A. Davis United States 12 1.0k 946 656 534 425 16 2.1k
Fu‐Ming Pan Taiwan 27 455 0.5× 1.1k 1.1× 416 0.6× 1.4k 2.7× 236 0.6× 127 2.5k
Robert Geer United States 24 586 0.6× 733 0.8× 379 0.6× 862 1.6× 106 0.2× 105 2.0k
Wan Soo Yun South Korea 27 917 0.9× 2.0k 2.1× 1.3k 1.9× 1.2k 2.3× 64 0.2× 114 3.5k
E. Majková Slovakia 24 365 0.4× 980 1.0× 482 0.7× 967 1.8× 129 0.3× 220 2.1k
Bohr‐Ran Huang Taiwan 29 584 0.6× 2.1k 2.2× 1.2k 1.8× 2.2k 4.1× 162 0.4× 205 3.4k
Karsten Hinrichs Germany 30 374 0.4× 836 0.9× 877 1.3× 1.2k 2.3× 68 0.2× 164 2.8k
Svetlana Neretina United States 28 1.9k 1.9× 2.1k 2.2× 1.4k 2.1× 737 1.4× 42 0.1× 76 3.7k
M. Ghanashyam Krishna India 28 431 0.4× 1.8k 1.9× 413 0.6× 1.3k 2.4× 387 0.9× 198 2.8k
Marcel Giesbers Netherlands 28 438 0.4× 769 0.8× 631 1.0× 986 1.8× 51 0.1× 53 2.3k
Shekhar Subramoney United States 19 236 0.2× 2.1k 2.2× 661 1.0× 558 1.0× 101 0.2× 34 2.7k

Countries citing papers authored by J.A. Davis

Since Specialization
Citations

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

Fields of papers citing papers by J.A. Davis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J.A. Davis

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

All Works

16 of 16 papers shown
1.
Davis, J.A.. (2010). Algebraic geometric codes on anticanonical surfaces. Journal of Pure and Applied Algebra. 215(4). 496–510. 2 indexed citations
2.
Davis, J.A., Marty O. Visscher, R. Randall Wickett, & Steven B. Hoath. (2010). Influence of tumour necrosis factor‐α polymorphism −308 and atopy on irritant contact dermatitis in healthcare workers*. Contact Dermatitis. 63(6). 320–332. 20 indexed citations
3.
Davis, J.A., Marty O. Visscher, R. Randall Wickett, & S B Hoath. (2010). Role of TNF‐α polymorphism ‐308 in neurosensory irritation. International Journal of Cosmetic Science. 33(2). 105–112. 7 indexed citations
4.
Visscher, Marty O., et al.. (2009). Effect of topical treatments on irritant hand dermatitis in health care workers. American Journal of Infection Control. 37(10). 842.e1–842.e11. 11 indexed citations
5.
Davis, J.A., et al.. (2003). Synthesis and Characterization of Ammonioundecafluoro-closo-dodecaborates(1−). New Superweak Anions. Inorganic Chemistry. 42(15). 4489–4491. 48 indexed citations
6.
Davis, J.A., Paul J. Wilbur, D. L. Williamson, Ronghua Wei, & John J. Vajo. (1998). Ion implantation boriding of iron and AISI M2 steel using a high-current density, low energy, broad-beam ion source. Surface and Coatings Technology. 103-104. 52–57. 27 indexed citations
7.
Williamson, D. L., J.A. Davis, & Paul J. Wilbur. (1998). Effect of austenitic stainless steel composition on low-energy, high-flux, nitrogen ion beam processing. Surface and Coatings Technology. 103-104. 178–184. 160 indexed citations
8.
Wilbur, Paul J., et al.. (1997). High current density ion implantation and its application to improve the wear resistance of ferrous materials. Wear. 203-204. 596–607. 13 indexed citations
9.
Wilbur, Paul J., J.A. Davis, D. L. Williamson, John J. Vajo, & Ronghua Wei. (1997). High current-density broad-beam boron ion implantation. Surface and Coatings Technology. 96(1). 52–57. 4 indexed citations
10.
Williamson, D. L., J.A. Davis, Paul J. Wilbur, et al.. (1997). Relative roles of ion energy, ion flux, and sample temperature in low-energy nitrogen ion implantation of FeCrNi stainless steel. Nuclear Instruments and Methods in Physics Research Section B Beam Interactions with Materials and Atoms. 127-128. 930–934. 86 indexed citations
11.
Davis, J.A., et al.. (1997). Structure and wear resistance of 20X13 steel ion-implanted with nitrogen at a high beam-current density. Surface and Coatings Technology. 96(2-3). 255–261. 12 indexed citations
12.
Wilbur, Paul J., J.A. Davis, Ronghua Wei, John J. Vajo, & D. L. Williamson. (1996). High current density, low energy, ion implantation of AISI-M2 tool steel for tribological applications. Surface and Coatings Technology. 83(1-3). 250–256. 27 indexed citations
13.
Grabar, Katherine C., Patrick C. Smith, Michael D. Musick, et al.. (1996). Kinetic Control of Interparticle Spacing in Au Colloid-Based Surfaces:  Rational Nanometer-Scale Architecture. Journal of the American Chemical Society. 118(5). 1148–1153. 459 indexed citations breakdown →
14.
Wei, Ronghua, John J. Vajo, J. N. Matossian, et al.. (1996). A comparative study of beam ion implantation, plasma ion implantation and nitriding of AISI 304 stainless steel. Surface and Coatings Technology. 83(1-3). 235–242. 125 indexed citations
15.
Freeman, Ronit, Katherine C. Grabar, Robin Bright, et al.. (1995). Self-Assembled Metal Colloid Monolayers: An Approach to SERS Substrates. Science. 267(5204). 1629–1632. 1088 indexed citations breakdown →
16.
Davis, J.A., et al.. (1985). Properties and application procedures for polyethylene tape coating systems. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 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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