David Yaron

2.9k total citations
90 papers, 2.2k citations indexed

About

David Yaron is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Physical and Theoretical Chemistry. According to data from OpenAlex, David Yaron has authored 90 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Electrical and Electronic Engineering, 24 papers in Materials Chemistry and 17 papers in Physical and Theoretical Chemistry. Recurrent topics in David Yaron's work include Organic Electronics and Photovoltaics (23 papers), Innovative Teaching and Learning Methods (14 papers) and Conducting polymers and applications (14 papers). David Yaron is often cited by papers focused on Organic Electronics and Photovoltaics (23 papers), Innovative Teaching and Learning Methods (14 papers) and Conducting polymers and applications (14 papers). David Yaron collaborates with scholars based in United States, United Kingdom and Switzerland. David Yaron's co-authors include R. Silbey, Bruce A. Armitage, Joseph Zyss, Michael Karabinos, M. Joffre, Gloria L. Silva, Gaea Leinhardt, William Klemperèr, Christopher R. Collins and Geoffrey J. Gordon and has published in prestigious journals such as Science, Journal of the American Chemical Society and The Journal of Chemical Physics.

In The Last Decade

David Yaron

87 papers receiving 2.1k 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 Yaron United States 26 607 513 460 405 344 90 2.2k
Tony Wu United States 16 1.2k 2.0× 1.2k 2.4× 338 0.7× 246 0.6× 227 0.7× 33 2.5k
Peter D. Jarowski United States 26 944 1.6× 535 1.0× 197 0.4× 1.0k 2.5× 316 0.9× 36 2.1k
Florencio E. Hernández United States 27 1.3k 2.2× 266 0.5× 367 0.8× 291 0.7× 342 1.0× 98 2.4k
Severin T. Schneebeli United States 28 1.5k 2.5× 954 1.9× 467 1.0× 2.0k 5.0× 475 1.4× 78 3.8k
Mark A. Buntine Australia 26 386 0.6× 164 0.3× 712 1.5× 449 1.1× 242 0.7× 109 1.8k
Kathleen M. Mullen Germany 33 1.3k 2.2× 1.2k 2.3× 207 0.5× 1.1k 2.8× 350 1.0× 101 3.0k
Ivan Biaggio United States 32 1.5k 2.5× 2.7k 5.2× 1.7k 3.7× 560 1.4× 294 0.9× 128 4.4k
Robert J. Harder United States 10 442 0.7× 472 0.9× 122 0.3× 292 0.7× 181 0.5× 17 1.4k
Carlos R. Baiz United States 28 302 0.5× 149 0.3× 1.2k 2.6× 181 0.4× 271 0.8× 100 2.3k
Michel Dumont France 26 666 1.1× 295 0.6× 740 1.6× 125 0.3× 383 1.1× 95 2.3k

Countries citing papers authored by David Yaron

Since Specialization
Citations

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

Fields of papers citing papers by David Yaron

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Yaron

This figure shows the co-authorship network connecting the top 25 collaborators of David Yaron. A scholar is included among the top collaborators of David Yaron 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 Yaron. David Yaron 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.
Yaron, David, et al.. (2025). Problem-Solving Strategies in Stoichiometry Across Two Intelligent Tutoring Systems: A Cross-National Study. Journal of Science Education and Technology. 34(2). 384–400. 1 indexed citations
2.
Koedinger, Kenneth R., et al.. (2025). Mathematics Matters or Maybe Not: An Astonishing Independence between Mathematics and the Rate of Learning in General Chemistry. JACS Au. 5(3). 1268–1278. 2 indexed citations
3.
Tristram‐Nagle, Stephanie, et al.. (2023). Design, Synthesis and Aromaticity of an Alternating Cyclo[4]Thiophene[4]Furan. Chemistry - A European Journal. 29(38). e202300477–e202300477. 1 indexed citations
4.
Davenport, Jodi L., et al.. (2023). ChemVLab+: Integrating Next Generation Science Standards Practices with Chemistry. Journal of Chemical Education. 100(6). 2116–2131. 1 indexed citations
5.
Tristram‐Nagle, Stephanie, et al.. (2021). Design, synthesis, and properties of a six-membered oligofuran macrocycle. Organic Chemistry Frontiers. 8(8). 1775–1782. 13 indexed citations
6.
DiLuzio, Stephen, et al.. (2020). High-throughput Synthesis and Screening of Iridium(III) Photocatalysts for the Fast and Chemoselective Dehalogenation of Aryl Bromides. ACS Catalysis. 10(13). 6977–6987. 45 indexed citations
7.
Worch, Joshua C., Yunyan Qiu, David Yaron, et al.. (2019). Photostable Helical Polyfurans. Journal of the American Chemical Society. 141(22). 8858–8867. 41 indexed citations
8.
Yaron, David & Tomasz Kowalewski. (2019). Beware the nanovoids. Nature Materials. 18(11). 1154–1155. 5 indexed citations
9.
Tsai, Chia‐Hua, et al.. (2018). Impact of Precise Control over Microstructure in Thiophene–Selenophene Copolymers. Macromolecules. 51(23). 9494–9501. 17 indexed citations
10.
Collins, Christopher R., et al.. (2018). A Density Functional Tight Binding Layer for Deep Learning of Chemical Hamiltonians. Journal of Chemical Theory and Computation. 14(11). 5764–5776. 81 indexed citations
11.
Qiu, Yunyan, Joshua C. Worch, Danielle N. Chirdon, et al.. (2014). Tuning Thiophene with Phosphorus: Synthesis and Electronic Properties of Benzobisthiaphospholes. Chemistry - A European Journal. 20(25). 7746–7751. 55 indexed citations
12.
Chakraborty, Subhasish, et al.. (2014). Computational and Experimental Characterization of a Fluorescent Dye for Detection of Potassium Ion Concentration. The Journal of Physical Chemistry A. 118(42). 9837–9843. 11 indexed citations
13.
Adamson, G. David, et al.. (2013). Intensification of Group Knowledge Exchange with Academically Productive Talk Agents.. Computer Supported Collaborative Learning. 10–17. 9 indexed citations
14.
Davenport, Jodi L., Anna N. Rafferty, Michael Timms, David Yaron, & Michael Karabinos. (2012). ChemVLab+ : evaluating a virtual lab tutor for high school chemistry. ICLS. 2. 10 indexed citations
15.
Davenport, Jodi L., David Yaron, Douglas Klahr, & Kenneth R. Koedinger. (2008). Development of conceptual understanding and problem solving expertise in chemistry. Malaria Journal. 23(1). 231–231. 4 indexed citations
16.
Yaron, David, et al.. (2006). Linked Active Content for Digital Libraries for Education. Texas Digital Library (University of Texas). 2(4).
17.
Liu, Lu Tian, David Yaron, Mikhail Sluch, & Mark A. Berg. (2006). Modeling the Effects of Torsional Disorder on the Spectra of Poly- and Oligo-(p-phenyleneethynylenes). The Journal of Physical Chemistry B. 110(38). 18844–18852. 63 indexed citations
18.
Tomlinson, Aimée L. & David Yaron. (2003). Direct INDO/SCI method for excited state calculations. Journal of Computational Chemistry. 24(14). 1782–1788. 18 indexed citations
19.
Yaron, David, et al.. (1998). An explicit-solvent dynamic-dielectric screening model of electron-hole interactions in conjugated polymers. The Journal of Chemical Physics. 109(14). 6147–6156. 34 indexed citations
20.
Joffre, M., David Yaron, R. Silbey, & Joseph Zyss. (1992). Second order optical nonlinearity in octupolar aromatic systems. The Journal of Chemical Physics. 97(8). 5607–5615. 173 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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