Geoffrey Hutchison

27.2k total citations · 3 hit papers
75 papers, 20.4k citations indexed

About

Geoffrey Hutchison is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Polymers and Plastics. According to data from OpenAlex, Geoffrey Hutchison has authored 75 papers receiving a total of 20.4k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Electrical and Electronic Engineering, 29 papers in Materials Chemistry and 28 papers in Polymers and Plastics. Recurrent topics in Geoffrey Hutchison's work include Organic Electronics and Photovoltaics (33 papers), Conducting polymers and applications (27 papers) and Machine Learning in Materials Science (21 papers). Geoffrey Hutchison is often cited by papers focused on Organic Electronics and Photovoltaics (33 papers), Conducting polymers and applications (27 papers) and Machine Learning in Materials Science (21 papers). Geoffrey Hutchison collaborates with scholars based in United States, United Kingdom and Ireland. Geoffrey Hutchison's co-authors include Noel M. O’Boyle, Marcus D. Hanwell, David Lonie, Donald Curtis, Eva Zurek, Craig A. James, Mark A. Ratner, Tobin J. Marks, Casey M. Campbell and Antonio Facchetti and has published in prestigious journals such as Journal of the American Chemical Society, Physical Review Letters and Advanced Materials.

In The Last Decade

Geoffrey Hutchison

75 papers receiving 20.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Avogadro: an advanced semantic chemical editor, visualization, and analysis platform

2012 7.7k citations Marcus D. Hanwell, Geoffrey Hutchison et al. profile →
Open Babel: An open chemical toolbox

2011 7.5k citations Geoffrey Hutchison et al. profile →
Hopping Transport in Conductive Heterocyclic Oligomers: Reorganization Energies and Substituent Effects

2005 659 citations Geoffrey Hutchison, Mark A. Ratner et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Geoffrey Hutchison United States	32	6.9k	4.7k	4.3k	4.2k	3.6k	75	20.4k
Noel M. O’Boyle United Kingdom	23	5.0k 0.7×	4.2k 0.9×	4.2k 1.0×	3.7k 0.9×	1.6k 0.4×	45	15.2k
Julian Tirado‐Rives United States	46	12.9k 1.9×	3.3k 0.7×	7.5k 1.8×	5.2k 1.2×	3.0k 0.8×	100	31.2k
Jean‐Louis Reymond Switzerland	67	10.8k 1.6×	5.1k 1.1×	4.0k 0.9×	4.1k 1.0×	750 0.2×	406	17.3k
Xiaojun Yao China	60	7.7k 1.1×	3.3k 0.7×	3.3k 0.8×	3.0k 0.7×	1.3k 0.4×	577	16.8k
Szilárd Páll Sweden	6	13.3k 1.9×	2.3k 0.5×	4.0k 0.9×	2.8k 0.7×	1.6k 0.4×	15	24.9k
Roland Schulz United States	13	13.0k 1.9×	2.3k 0.5×	3.8k 0.9×	2.7k 0.6×	1.5k 0.4×	23	24.7k
Christopher I. Bayly United States	33	17.5k 2.6×	4.0k 0.9×	5.8k 1.3×	4.3k 1.0×	1.5k 0.4×	77	29.0k
Wei Wang China	65	16.8k 2.5×	2.2k 0.5×	6.7k 1.6×	2.9k 0.7×	1.9k 0.5×	476	33.1k
Romain M. Wolf Switzerland	26	9.9k 1.4×	2.3k 0.5×	3.1k 0.7×	2.9k 0.7×	1.1k 0.3×	57	18.1k
Adrián E. Roitberg United States	58	12.8k 1.9×	4.1k 0.9×	7.2k 1.7×	2.0k 0.5×	3.0k 0.8×	199	23.9k

Countries citing papers authored by Geoffrey Hutchison

Since Specialization

Citations

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

Fields of papers citing papers by Geoffrey Hutchison

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Geoffrey Hutchison

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Berquist, Eric, Shiv Upadhyay, Minsik Cho, et al.. (2024). cclib 2.0: An updated architecture for interoperable computational chemistry. The Journal of Chemical Physics. 161(4). 1 indexed citations

Hutchison, Geoffrey, et al.. (2024). QupKake: Integrating Machine Learning and Quantum Chemistry for Micro-p K _a Predictions. Journal of Chemical Theory and Computation. 20(15). 6946–6956. 12 indexed citations

McNutt, Andrew T., et al.. (2023). Conformer Generation for Structure-Based Drug Design: How Many and How Good?. Journal of Chemical Information and Modeling. 63(21). 6598–6607. 22 indexed citations

Hutchison, Geoffrey, et al.. (2023). Determining best practices for using genetic algorithms in molecular discovery. The Journal of Chemical Physics. 159(9). 11 indexed citations

Hutchison, Geoffrey, et al.. (2023). Screening Efficient Tandem Organic Solar Cells with Machine Learning and Genetic Algorithms. The Journal of Physical Chemistry C. 127(13). 6179–6191. 24 indexed citations

Hutchison, Geoffrey, et al.. (2022). Evaluating fast methods for static polarizabilities on extended conjugated oligomers. Physical Chemistry Chemical Physics. 24(38). 23173–23181. 3 indexed citations

Hutchison, Geoffrey, et al.. (2022). Computational evolution of high-performing unfused non-fullerene acceptors for organic solar cells. The Journal of Chemical Physics. 156(17). 174107–174107. 10 indexed citations

Cassone, Giuseppe, et al.. (2021). Intrinsically Polar Piezoelectric Self‐Assembled Oligopeptide Monolayers. Advanced Materials. 33(17). e2007486–e2007486. 22 indexed citations

Hutchison, Geoffrey, et al.. (2021). Understanding Ring Puckering in Small Molecules and Cyclic Peptides. Journal of Chemical Information and Modeling. 61(2). 743–755. 29 indexed citations

10.

Koes, David Ryan, et al.. (2021). Evaluation of Thermochemical Machine Learning for Potential Energy Curves and Geometry Optimization. The Journal of Physical Chemistry A. 125(9). 1987–1993. 7 indexed citations

11.

Zhang, Shaopeng, et al.. (2016). Sequence Effects in Donor–Acceptor Oligomeric Semiconductors Comprising Benzothiadiazole and Phenylenevinylene Monomers. Macromolecules. 50(1). 151–161. 32 indexed citations

12.

Kowalewski, Tomasz, et al.. (2014). Effects of Delocalized Charge Carriers in Organic Solar Cells: Predicting Nanoscale Device Performance from Morphology. Advanced Functional Materials. 25(13). 1996–2003. 18 indexed citations

13.

Nie, Hai‐Jing, et al.. (2012). Electronic Coupling between Two Amine Redox Sites through the 5,5′‐Positions of Metal‐Chelating 2,2′‐Bipyridines. Chemistry - A European Journal. 18(45). 14497–14509. 31 indexed citations

14.

Hanwell, Marcus D. & Geoffrey Hutchison. (2009). Avogadro: Free, Open Source, Cross-Platform Computer Program for Building Molecules and Visualizing Structure. Bulletin of the American Physical Society. 3 indexed citations

15.

Kiya, Yasuyuki, Jay C. Henderson, Geoffrey Hutchison, & Héctor D. Abruña. (2007). Synthesis, computational and electrochemical characterization of a family of functionalized dimercaptothiophenes for potential use as high-energy cathode materials for lithium/lithium-ion batteries. Journal of Materials Chemistry. 17(41). 4366–4366. 23 indexed citations

16.

Parks, J. J., A. R. Champagne, Geoffrey Hutchison, et al.. (2007). Tuning the Kondo Effect with a Mechanically Controllable Break Junction. Physical Review Letters. 99(2). 26601–26601. 156 indexed citations

17.

Kiya, Yasuyuki, Geoffrey Hutchison, Jay C. Henderson, et al.. (2006). Elucidation of the Redox Behavior of 2,5-Dimercapto-1,3,4-thiadiazole (DMcT) at Poly(3,4-ethylenedioxythiophene) (PEDOT)-Modified Electrodes and Application of the DMcT−PEDOT Composite Cathodes to Lithium/Lithium Ion Batteries. Langmuir. 22(25). 10554–10563. 45 indexed citations

18.

Hutchison, Geoffrey, Mark A. Ratner, & Tobin J. Marks. (2005). Electronic Structure and Band Gaps in Cationic Heterocyclic Oligomers. Multidimensional Analysis of the Interplay of Heteroatoms, Substituents, Molecular Length, and Charge on Redox and Transparency Characteristics. The Journal of Physical Chemistry B. 109(8). 3126–3138. 79 indexed citations

19.

Hutchison, Geoffrey. (2004). Theoretical studies of optics and charge transport in organic conducting oligomers and polymers: Rational design of improved transparent and conducting polymers. PhDT. 4 indexed citations

20.

Facchetti, Antonio, Geoffrey Hutchison, Shahar Keinan, & Mark A. Ratner. (2004). Control mechanisms for transport and nonlinear optical response in organic materials: a tale of twists and barriers. Inorganica Chimica Acta. 357(13). 3980–3990. 6 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.

Explore authors with similar magnitude of impact