Allan M. Ferguson

973 total citations
9 papers, 710 citations indexed

About

Allan M. Ferguson is a scholar working on Computational Theory and Mathematics, Molecular Biology and Biomedical Engineering. According to data from OpenAlex, Allan M. Ferguson has authored 9 papers receiving a total of 710 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computational Theory and Mathematics, 5 papers in Molecular Biology and 3 papers in Biomedical Engineering. Recurrent topics in Allan M. Ferguson's work include Computational Drug Discovery Methods (8 papers), Chemical Synthesis and Analysis (3 papers) and Machine Learning in Bioinformatics (2 papers). Allan M. Ferguson is often cited by papers focused on Computational Drug Discovery Methods (8 papers), Chemical Synthesis and Analysis (3 papers) and Machine Learning in Bioinformatics (2 papers). Allan M. Ferguson collaborates with scholars based in United Kingdom and United States. Allan M. Ferguson's co-authors include David E. Patterson, Richard D. Cramer, Robert D. Clark, David B. Turner, Peter Willett, Trevor Heritage, Ted L. Underiner, Donald C. McKean, I. Torto and Alan D. Brown and has published in prestigious journals such as Journal of Medicinal Chemistry, Journal of Computer-Aided Molecular Design and SLAS DISCOVERY.

In The Last Decade

Allan M. Ferguson

9 papers receiving 603 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Allan M. Ferguson United Kingdom 9 528 375 202 143 100 9 710
Michael S. Lajiness United States 15 506 1.0× 372 1.0× 124 0.6× 121 0.8× 75 0.8× 21 735
Wolf‐Dietrich Ihlenfeldt Germany 9 324 0.6× 301 0.8× 85 0.4× 142 1.0× 111 1.1× 11 574
Daniel J. Warner United Kingdom 12 263 0.5× 270 0.7× 156 0.8× 109 0.8× 147 1.5× 17 659
Edgar Luttmann Germany 9 605 1.1× 628 1.7× 177 0.9× 76 0.5× 178 1.8× 10 1.0k
David L. Grier United States 12 350 0.7× 316 0.8× 169 0.8× 174 1.2× 141 1.4× 15 736
David A. Cosgrove United Kingdom 13 457 0.9× 396 1.1× 104 0.5× 118 0.8× 137 1.4× 22 654
Emanuela Gancia Italy 13 407 0.8× 374 1.0× 114 0.6× 285 2.0× 91 0.9× 14 795
Jeffrey W. Godden United States 19 663 1.3× 539 1.4× 189 0.9× 105 0.7× 139 1.4× 32 874
Nikolay Savchuk United States 16 569 1.1× 460 1.2× 199 1.0× 152 1.1× 134 1.3× 31 911
Ed Griffen United Kingdom 11 482 0.9× 434 1.2× 110 0.5× 215 1.5× 124 1.2× 15 775

Countries citing papers authored by Allan M. Ferguson

Since Specialization
Citations

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

Fields of papers citing papers by Allan M. Ferguson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Allan M. Ferguson. 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 Allan M. Ferguson. The network helps show where Allan M. Ferguson may publish in the future.

Co-authorship network of co-authors of Allan M. Ferguson

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

All Works

9 of 9 papers shown
1.
Turner, David B., Peter Willett, Allan M. Ferguson, & Trevor Heritage. (1999). Evaluation of a novel molecular vibration-based descriptor (EVA) for QSAR studies: 2. Model validation using a benchmark steroid dataset. Journal of Computer-Aided Molecular Design. 13(3). 271–296. 35 indexed citations
2.
Ferguson, Allan M., et al.. (1998). EVA: a novel theoretical descriptor for QSAR studies. Perspectives in Drug Discovery and Design. 9-11(0). 381–398. 11 indexed citations
3.
Turner, David B., Peter Willett, Allan M. Ferguson, & Trevor Heritage. (1997). Evaluation of a novel infrared range vibration-based descriptor (EVA) for QSAR studies. 1. General application. Journal of Computer-Aided Molecular Design. 11(4). 409–422. 54 indexed citations
4.
Turner, David B., et al.. (1997). Similarity Searching in Files of Three-Dimensional Chemical Structures:  Evaluation of the EVA Descriptor and Combination of Rankings Using Data Fusion. Journal of Chemical Information and Computer Sciences. 37(1). 23–37. 47 indexed citations
5.
Patterson, David E., et al.. (1996). Neighborhood Behavior:  A Useful Concept for Validation of “Molecular Diversity” Descriptors. Journal of Medicinal Chemistry. 39(16). 3049–3059. 383 indexed citations
6.
Cramer, Richard D., Robert D. Clark, David E. Patterson, & Allan M. Ferguson. (1996). Bioisosterism as a Molecular Diversity Descriptor:  Steric Fields of Single “Topomeric” Conformers. Journal of Medicinal Chemistry. 39(16). 3060–3069. 94 indexed citations
7.
Ferguson, Allan M., et al.. (1996). Designing Chemical Libraries for Lead Discovery. SLAS DISCOVERY. 1(2). 65–73. 45 indexed citations
8.
Peterson, John, Ted L. Underiner, Richard D. Cramer, et al.. (1996). Solution Phase Synthesis of Chemical Libraries for Lead Discovery. SLAS DISCOVERY. 1(4). 179–186. 14 indexed citations
9.
McKean, Donald C., et al.. (1988). Infrared studies of CH and CD stretching anharmonicity. Journal of the Chemical Society Faraday Transactions 2 Molecular and Chemical Physics. 84(9). 1423–1423. 27 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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