Ronald C. Hedden

1.4k total citations
50 papers, 1.2k citations indexed

About

Ronald C. Hedden is a scholar working on Polymers and Plastics, Materials Chemistry and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, Ronald C. Hedden has authored 50 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Polymers and Plastics, 18 papers in Materials Chemistry and 17 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in Ronald C. Hedden's work include Polymer Nanocomposites and Properties (13 papers), Polymer composites and self-healing (11 papers) and Copper Interconnects and Reliability (8 papers). Ronald C. Hedden is often cited by papers focused on Polymer Nanocomposites and Properties (13 papers), Polymer composites and self-healing (11 papers) and Copper Interconnects and Reliability (8 papers). Ronald C. Hedden collaborates with scholars based in United States, Israel and Germany. Ronald C. Hedden's co-authors include Barry J. Bauer, Micah J. Green, Sriya Das, Fahmida Irin, Claude Cohen, Dorsa Parviz, Lan Ma, H.S. Tanvir Ahmed, Ahmed S. Wajid and Alan F. Jankowski and has published in prestigious journals such as Applied Physics Letters, Chemistry of Materials and The Journal of Physical Chemistry B.

In The Last Decade

Ronald C. Hedden

49 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ronald C. Hedden United States 18 486 475 433 209 209 50 1.2k
Xiaoyi Gong United States 9 832 1.7× 538 1.1× 368 0.8× 184 0.9× 190 0.9× 14 1.3k
Sergei Bronnikov Russia 19 379 0.8× 443 0.9× 222 0.5× 111 0.5× 160 0.8× 98 1.1k
Katsuhiro Inomata Japan 19 334 0.7× 515 1.1× 190 0.4× 125 0.6× 82 0.4× 72 1.2k
Cristina E. Hoppe Argentina 25 823 1.7× 968 2.0× 441 1.0× 303 1.4× 154 0.7× 77 2.0k
Hassan Saadaoui France 16 680 1.4× 130 0.3× 290 0.7× 103 0.5× 304 1.5× 39 1.1k
David E. Kranbuehl United States 23 522 1.1× 613 1.3× 338 0.8× 409 2.0× 139 0.7× 85 1.4k
Javier Pozuelo Spain 18 432 0.9× 269 0.6× 313 0.7× 106 0.5× 180 0.9× 35 1.2k
Ting Ge United States 23 795 1.6× 556 1.2× 229 0.5× 221 1.1× 160 0.8× 52 1.6k
Andreu Andrio Spain 23 257 0.5× 395 0.8× 457 1.1× 124 0.6× 504 2.4× 59 1.3k

Countries citing papers authored by Ronald C. Hedden

Since Specialization
Citations

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

Fields of papers citing papers by Ronald C. Hedden

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ronald C. Hedden. 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 Ronald C. Hedden. The network helps show where Ronald C. Hedden may publish in the future.

Co-authorship network of co-authors of Ronald C. Hedden

This figure shows the co-authorship network connecting the top 25 collaborators of Ronald C. Hedden. A scholar is included among the top collaborators of Ronald C. Hedden 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 Ronald C. Hedden. Ronald C. Hedden 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.
Ghosh, Sambit Kumar, et al.. (2024). Integrating smart manufacturing techniques into undergraduate education: A case study with heat exchanger. Computers & Chemical Engineering. 191. 108858–108858.
2.
Zhao, Xiaofei, Farhad Gharagheizi, Carla M. R. Lacerda, et al.. (2021). Rheological behavior of a low crystallinity polyolefin-modified asphalt binder for flexible pavements. Case Studies in Construction Materials. 15. e00640–e00640. 10 indexed citations
3.
Khabaz, Fardin, et al.. (2017). Swelling of Random Copolymer Networks in Pure and Mixed Solvents: Multi-Component Flory–Rehner Theory. The Journal of Physical Chemistry B. 121(33). 7963–7977. 14 indexed citations
4.
Parviz, Dorsa, et al.. (2016). Gradient Films of Pristine Graphene/Pyrene-Functional Copolymers with Janus Electrical Properties. ACS Applied Materials & Interfaces. 8(46). 31813–31821. 13 indexed citations
5.
Parviz, Dorsa, et al.. (2014). Designer stabilizer for preparation of pristine graphene/polysiloxane films and networks. Nanoscale. 6(20). 11722–11731. 13 indexed citations
6.
Ma, Lan, Jun Zhao, Xiaoyan Wang, et al.. (2014). Effects of carbon black nanoparticles on two-way reversible shape memory in crosslinked polyethylene. Polymer. 56. 490–497. 61 indexed citations
7.
Chen, Huipeng, et al.. (2012). Solution templating of Au and Ag nanoparticles by linear poly[2-(diethylamino)ethyl methacrylate]. Journal of Nanoparticle Research. 14(2). 5 indexed citations
8.
Chen, Huipeng, et al.. (2012). Influence of thermal history on mesoscale ordering in polydomain smectic networks. Journal of Polymer Science Part B Polymer Physics. 51(3). 225–230. 1 indexed citations
9.
Hedden, Ronald C., et al.. (2009). Necking Instability during Polydomain−Monodomain Transition in a Smectic Main-Chain Elastomer. Macromolecules. 42(10). 3525–3531. 33 indexed citations
10.
Liao, Jian, et al.. (2007). Smectic Ordering in Main-Chain Siloxane Polymers and Elastomers Containingp-Phenylene Terephthalate Mesogens. Macromolecules. 40(17). 6206–6216. 22 indexed citations
11.
Hedden, Ronald C., et al.. (2007). Effects of structural imperfections on the dynamic mechanical response of main‐chain smectic elastomers. Journal of Polymer Science Part B Polymer Physics. 45(24). 3267–3276. 17 indexed citations
12.
Silverstein, Michael S., Barry J. Bauer, Ronald C. Hedden, Hae‐Jeong Lee, & Brian Landes. (2006). SANS and XRR Porosimetry of a Polyphenylene Low-k Dielectric. Macromolecules. 39(8). 2998–3006. 7 indexed citations
13.
Hedden, Ronald C., et al.. (2004). Pore Size Distributions in Low-k Dielectric Thin Films From SANS Porosimetry. 296. 1 indexed citations
14.
Hedden, Ronald C. & Barry J. Bauer. (2003). Structure and Dimensions of PAMAM/PEG Dendrimer−Star Polymers. Macromolecules. 36(6). 1829–1835. 70 indexed citations
15.
Hedden, Ronald C., Hae‐Jeong Lee, & Barry J. Bauer. (2003). Characterization of Nanoporous Low-k Thin Films by Small-Angle Neutron Scattering Contrast Variation. Langmuir. 20(2). 416–422. 22 indexed citations
16.
Hedden, Ronald C.. (2003). Measurement of Pore Size and Matrix Characteristics in Low-k Dielectrics by Neutron Contrast Variation. AIP conference proceedings. 683. 567–571. 1 indexed citations
17.
Bauer, Barry J., Ronald C. Hedden, Hae‐Jeong Lee, Christopher L. Soles, & Dawei Liu. (2003). Determination of Pore Size Distributions in Nano-Porous Thin Films from Small Angle Scattering. MRS Proceedings. 766. 1 indexed citations
18.
Hedden, Ronald C., Barry J. Bauer, Adam P. Smith, Franziska Gröhn, & Eric J. Amis. (2002). Templating of inorganic nanoparticles by PAMAM/PEG dendrimer–star polymers. Polymer. 43(20). 5473–5481. 86 indexed citations
19.
Hedden, Ronald C. & Claude Cohen. (2000). Preparation of poly(diethylsiloxane) with the NaOH/12-crown-4 catalyst. Polymer. 41(18). 6975–6979. 12 indexed citations
20.
Hedden, Ronald C., et al.. (1999). Effects of Phenyl Substituents on the Mechanical and Swelling Properties of Poly(dimethylsiloxane) Networks. Macromolecules. 32(15). 5154–5158. 10 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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