Benedict Irwin

618 total citations
12 papers, 433 citations indexed

About

Benedict Irwin is a scholar working on Molecular Biology, Computational Theory and Mathematics and Materials Chemistry. According to data from OpenAlex, Benedict Irwin has authored 12 papers receiving a total of 433 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Computational Theory and Mathematics and 4 papers in Materials Chemistry. Recurrent topics in Benedict Irwin's work include Computational Drug Discovery Methods (5 papers), Machine Learning in Materials Science (4 papers) and Metabolomics and Mass Spectrometry Studies (3 papers). Benedict Irwin is often cited by papers focused on Computational Drug Discovery Methods (5 papers), Machine Learning in Materials Science (4 papers) and Metabolomics and Mass Spectrometry Studies (3 papers). Benedict Irwin collaborates with scholars based in United Kingdom, South Sudan and France. Benedict Irwin's co-authors include A. V. Phelps, J. J. Lowke, Thomas M. Whitehead, G. J. Conduit, Matthew Segall, David J. Huggins, Peter Hunt, Julian Levell, Michael C. Payne and Siniša Vukovič and has published in prestigious journals such as The Journal of Chemical Physics, SHILAP Revista de lepidopterología and Journal of Applied Physics.

In The Last Decade

Benedict Irwin

12 papers receiving 396 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Benedict Irwin United Kingdom 7 261 156 113 96 89 12 433
David Coumou United States 11 115 0.4× 80 0.5× 55 0.5× 27 0.3× 21 0.2× 19 488
Kosmas V. Kepesidis Germany 8 119 0.5× 68 0.4× 66 0.6× 13 0.1× 11 0.1× 14 452
Chukun Gao United States 11 27 0.1× 284 1.8× 164 1.5× 46 0.5× 13 0.1× 21 406
S. K. Guharay United States 11 141 0.5× 162 1.0× 63 0.6× 6 0.1× 4 0.0× 67 443
William Herzog United States 12 234 0.9× 62 0.4× 83 0.7× 3 0.0× 20 0.2× 27 485
Hwanho Kim United States 9 59 0.2× 10 0.1× 38 0.3× 54 0.6× 49 0.6× 15 411
Tetsuo Iwata Japan 12 122 0.5× 48 0.3× 34 0.3× 11 0.1× 2 0.0× 46 351
George E. Katsoprinakis Greece 9 63 0.2× 126 0.8× 19 0.2× 14 0.1× 5 0.1× 24 339

Countries citing papers authored by Benedict Irwin

Since Specialization
Citations

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

Fields of papers citing papers by Benedict Irwin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Benedict Irwin

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

All Works

12 of 12 papers shown
1.
Irwin, Benedict, Dmitriy S. Chekmarev, Shyam Vyas, et al.. (2021). Imputation of sensory properties using deep learning. Journal of Computer-Aided Molecular Design. 35(11). 1125–1140. 6 indexed citations
2.
Irwin, Benedict, et al.. (2021). GABA receptor associated protein changes the electrostatic environment around the GABA type A receptor. Proteins Structure Function and Bioinformatics. 90(2). 476–484. 2 indexed citations
3.
Irwin, Benedict, et al.. (2021). Deep imputation on large‐scale drug discovery data. SHILAP Revista de lepidopterología. 2(3). 6 indexed citations
4.
Irwin, Benedict, Julian Levell, Thomas M. Whitehead, Matthew Segall, & G. J. Conduit. (2020). Practical Applications of Deep Learning To Impute Heterogeneous Drug Discovery Data. Journal of Chemical Information and Modeling. 60(6). 2848–2857. 39 indexed citations
5.
Irwin, Benedict, et al.. (2020). Imputation Versus Prediction: Applications in Machine Learning for Drug Discovery. SHILAP Revista de lepidopterología. 2(2). 12 indexed citations
6.
Várnai, Csilla, Benedict Irwin, M. C. Payne, Gábor Cśanyi, & P.‐L. Chau. (2020). Functional movements of the GABA type A receptor. Physical Chemistry Chemical Physics. 22(28). 16023–16031. 2 indexed citations
7.
Irwin, Benedict, Siniša Vukovič, Michael C. Payne, & David J. Huggins. (2019). Large-Scale Study of Hydration Environments through Hydration Sites. The Journal of Physical Chemistry B. 123(19). 4220–4229. 7 indexed citations
8.
Whitehead, Thomas M., Benedict Irwin, Peter Hunt, Matthew Segall, & G. J. Conduit. (2019). Imputation of Assay Bioactivity Data Using Deep Learning. Journal of Chemical Information and Modeling. 59(3). 1197–1204. 47 indexed citations
9.
Irwin, Benedict & David J. Huggins. (2018). Estimating Atomic Contributions to Hydration and Binding Using Free Energy Perturbation. Journal of Chemical Theory and Computation. 14(6). 3218–3227. 17 indexed citations
10.
Irwin, Benedict, et al.. (2018). Prediction of GABARAP interaction with the GABA type A receptor. Proteins Structure Function and Bioinformatics. 86(12). 1251–1264. 2 indexed citations
11.
Irwin, Benedict & David J. Huggins. (2017). On the accuracy of one- and two-particle solvation entropies. The Journal of Chemical Physics. 146(19). 194111–194111. 3 indexed citations
12.
Lowke, J. J., A. V. Phelps, & Benedict Irwin. (1973). Predicted electron transport coefficients and operating characteristics of CO2–N2–He laser mixtures. Journal of Applied Physics. 44(10). 4664–4671. 290 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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