Andrew J. Moad

1.5k total citations · 1 hit paper
16 papers, 1.3k citations indexed

About

Andrew J. Moad is a scholar working on Atomic and Molecular Physics, and Optics, Spectroscopy and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, Andrew J. Moad has authored 16 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Atomic and Molecular Physics, and Optics, 8 papers in Spectroscopy and 6 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in Andrew J. Moad's work include Spectroscopy and Quantum Chemical Studies (11 papers), Molecular spectroscopy and chirality (8 papers) and Nonlinear Optical Materials Research (6 papers). Andrew J. Moad is often cited by papers focused on Spectroscopy and Quantum Chemical Studies (11 papers), Molecular spectroscopy and chirality (8 papers) and Nonlinear Optical Materials Research (6 papers). Andrew J. Moad collaborates with scholars based in United States, United Kingdom and Egypt. Andrew J. Moad's co-authors include Garth J. Simpson, R. Joseph Kline, Lee J. Richter, David J. Gundlach, Ronald D. Wampler, Michael F. Toney, Thomas N. Jackson, John E. Anthony, Oana D. Jurchescu and Youngsuk Jung and has published in prestigious journals such as Journal of the American Chemical Society, Nature Materials and Accounts of Chemical Research.

In The Last Decade

Andrew J. Moad

16 papers receiving 1.3k citations

Hit Papers

Contact-induced crystallinity for high-performance solubl... 2008 2026 2014 2020 2008 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrew J. Moad United States 16 733 500 340 234 214 16 1.3k
Antonietta De Sio Germany 20 792 1.1× 715 1.4× 386 1.1× 112 0.5× 184 0.9× 43 1.4k
K. Müllen Germany 22 1.0k 1.4× 375 0.8× 395 1.2× 106 0.5× 504 2.4× 37 2.0k
Yin Song China 21 930 1.3× 459 0.9× 332 1.0× 109 0.5× 102 0.5× 47 1.6k
Erik M. Grumstrup United States 21 584 0.8× 457 0.9× 93 0.3× 150 0.6× 285 1.3× 47 1.2k
Fabian Nolde Germany 22 898 1.2× 266 0.5× 416 1.2× 97 0.4× 206 1.0× 28 1.9k
Wichard J. D. Beenken Germany 22 1.0k 1.4× 420 0.8× 534 1.6× 61 0.3× 111 0.5× 42 1.8k
Joachim Seibt Germany 15 538 0.7× 571 1.1× 217 0.6× 269 1.1× 56 0.3× 28 1.6k
Sophia C. Hayes Cyprus 15 465 0.6× 175 0.3× 316 0.9× 115 0.5× 94 0.4× 38 945
H. Yamagata United States 14 1.4k 1.9× 651 1.3× 624 1.8× 79 0.3× 146 0.7× 14 1.9k
Ken Takazawa Japan 19 606 0.8× 711 1.4× 117 0.3× 345 1.5× 284 1.3× 51 1.7k

Countries citing papers authored by Andrew J. Moad

Since Specialization
Citations

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

Fields of papers citing papers by Andrew J. Moad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew J. Moad

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew J. Moad. A scholar is included among the top collaborators of Andrew J. Moad 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 Andrew J. Moad. Andrew J. Moad 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.
Kline, R. Joseph, Steven D. Hudson, Xinran Zhang, et al.. (2011). Controlling the Microstructure of Solution-Processable Small Molecules in Thin-Film Transistors through Substrate Chemistry. Chemistry of Materials. 23(5). 1194–1203. 66 indexed citations
2.
DeLongchamp, Dean M., R. Joseph Kline, Youngsuk Jung, et al.. (2009). Controlling the Orientation of Terraced Nanoscale “Ribbons” of a Poly(thiophene) Semiconductor. ACS Nano. 3(4). 780–787. 171 indexed citations
3.
Moad, Andrew J., et al.. (2009). Nonlinear Optical Stokes Ellipsometry. 1. Theoretical Framework. The Journal of Physical Chemistry C. 113(23). 10158–10165. 18 indexed citations
4.
Gundlach, David J., James E. Royer, S. Subramanian, et al.. (2008). Contact-induced crystallinity for high-performance soluble acene-based transistors and circuits. Nature Materials. 7(3). 216–221. 400 indexed citations breakdown →
5.
Davis, Ryan P., et al.. (2008). Selection Rules and Symmetry Relations for Four-Wave Mixing Measurements of Uniaxial Assemblies. The Journal of Physical Chemistry B. 112(18). 5834–5848. 28 indexed citations
6.
DeLongchamp, Dean M., R. Joseph Kline, Youngsuk Jung, et al.. (2008). Molecular Basis of Mesophase Ordering in a Thiophene-Based Copolymer. Macromolecules. 41(15). 5709–5715. 113 indexed citations
7.
Moad, Andrew J., John M. Perry, Ronald D. Wampler, et al.. (2007). NLOPredict: Visualization and data analysis software for nonlinear optics. Journal of Computational Chemistry. 28(12). 1996–2002. 29 indexed citations
8.
Wampler, Ronald D., et al.. (2007). Visual Methods for Interpreting Optical Nonlinearity at the Molecular Level. Accounts of Chemical Research. 40(10). 953–960. 39 indexed citations
9.
Plocinik, Ryan M., R. Michael Everly, Andrew J. Moad, & Garth J. Simpson. (2005). Modular ellipsometric approach for mining structural information from nonlinear optical polarization analysis. Physical Review B. 72(12). 24 indexed citations
10.
Perry, John M., et al.. (2005). Electronic and Vibrational Second-Order Nonlinear Optical Properties of Protein Secondary Structural Motifs. The Journal of Physical Chemistry B. 109(42). 20009–20026. 69 indexed citations
11.
Moad, Andrew J. & Garth J. Simpson. (2005). Self-Consistent Approach for Simplifying the Molecular Interpretation of Nonlinear Optical and Multiphoton Phenomena. The Journal of Physical Chemistry A. 109(7). 1316–1323. 30 indexed citations
12.
Moad, Andrew J. & Garth J. Simpson. (2004). A Unified Treatment of Selection Rules and Symmetry Relations for Sum-Frequency and Second Harmonic Spectroscopies. The Journal of Physical Chemistry B. 108(11). 3548–3562. 241 indexed citations
13.
Simpson, Garth J., John M. Perry, Andrew J. Moad, & Ronald D. Wampler. (2004). Uncoupled oscillator model for interpreting second harmonic generation measurements of oriented chiral systems. Chemical Physics Letters. 399(1-3). 26–32. 16 indexed citations
14.
Simpson, Garth J., Christopher A. Dailey, Ryan M. Plocinik, et al.. (2004). Direct Determination of Effective Interfacial Optical Constants by Nonlinear Optical Null Ellipsometry of Chiral Films. Analytical Chemistry. 77(1). 215–224. 33 indexed citations
15.
Burke, Brian J., Andrew J. Moad, Mark A. Polizzi, & Garth J. Simpson. (2003). Experimental Confirmation of the Importance of Orientation in the Anomalous Chiral Sensitivity of Second Harmonic Generation. Journal of the American Chemical Society. 125(30). 9111–9115. 50 indexed citations
16.
Moad, Andrew J., Lee J. Klein, Dennis G. Peters, Jonathan A. Karty, & James P. Reilly. (2002). Catalytic reduction of ethyl chloroacetate by cobalt(I) salophen electrogenerated at vitreous carbon cathodes. Journal of Electroanalytical Chemistry. 531(2). 163–169. 16 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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