John M. Barnard

3.2k total citations · 1 hit paper
33 papers, 2.2k citations indexed

About

John M. Barnard is a scholar working on Computational Theory and Mathematics, Physical and Theoretical Chemistry and Molecular Biology. According to data from OpenAlex, John M. Barnard has authored 33 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computational Theory and Mathematics, 13 papers in Physical and Theoretical Chemistry and 10 papers in Molecular Biology. Recurrent topics in John M. Barnard's work include History and advancements in chemistry (13 papers), Computational Drug Discovery Methods (13 papers) and Analytical Chemistry and Chromatography (7 papers). John M. Barnard is often cited by papers focused on History and advancements in chemistry (13 papers), Computational Drug Discovery Methods (13 papers) and Analytical Chemistry and Chromatography (7 papers). John M. Barnard collaborates with scholars based in United Kingdom, United States and France. John M. Barnard's co-authors include Geoffrey M. Downs, Peter Willett, G. M. DOWNS, Michael Lynch, Michael Lynch, Terry E. Acree, John D. Holliday, Valerie J. Gillet, Robert D. Brown and Alain‐Dominique Gorse and has published in prestigious journals such as Management Decision, Chemical Senses and Wiley Interdisciplinary Reviews Computational Molecular Science.

In The Last Decade

John M. Barnard

33 papers receiving 2.0k citations

Hit Papers

Chemical Similarity Searching 1998 2026 2007 2016 1998 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John M. Barnard United Kingdom 16 1.6k 1.1k 500 322 253 33 2.2k
Geoffrey M. Downs United Kingdom 12 1.4k 0.9× 981 0.9× 398 0.8× 266 0.8× 219 0.9× 17 1.8k
James G. Nourse United States 15 1.4k 0.9× 1.1k 1.0× 476 1.0× 547 1.7× 202 0.8× 28 2.1k
Jens Sadowski Germany 19 2.0k 1.3× 1.6k 1.4× 710 1.4× 481 1.5× 279 1.1× 28 3.1k
Burton A. Leland United States 7 1.3k 0.8× 965 0.9× 264 0.5× 518 1.6× 188 0.7× 10 1.7k
John D. Holliday United Kingdom 22 1.0k 0.7× 685 0.6× 364 0.7× 214 0.7× 121 0.5× 61 1.4k
Simon K. Kearsley United States 16 1.2k 0.7× 1.2k 1.1× 321 0.6× 455 1.4× 177 0.7× 28 1.9k
Stephen R. Heller United States 19 571 0.4× 1.2k 1.1× 531 1.1× 457 1.4× 103 0.4× 84 3.1k
Valerie J. Gillet United Kingdom 31 2.7k 1.7× 2.0k 1.8× 659 1.3× 581 1.8× 396 1.6× 101 3.7k
Darren V. S. Green United Kingdom 28 1.7k 1.1× 1.8k 1.6× 367 0.7× 400 1.2× 354 1.4× 58 3.8k
Martin Vogt Germany 26 1.5k 0.9× 1.3k 1.2× 276 0.6× 575 1.8× 355 1.4× 110 2.7k

Countries citing papers authored by John M. Barnard

Since Specialization
Citations

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

Fields of papers citing papers by John M. Barnard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John M. Barnard

This figure shows the co-authorship network connecting the top 25 collaborators of John M. Barnard. A scholar is included among the top collaborators of John M. Barnard 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 John M. Barnard. John M. Barnard 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.
Barnard, John M., et al.. (2008). Towards in-house searching of Markush structures from patents. World Patent Information. 31(2). 97–103. 18 indexed citations
2.
Ashton, Mark, John M. Barnard, Florence Casset, et al.. (2002). Identification of Diverse Database Subsets using Property‐Based and Fragment‐Based Molecular Descriptions. Quantitative Structure-Activity Relationships. 21(6). 598–604. 67 indexed citations
3.
Barnard, John M., et al.. (2000). Use of Markush structure analysis techniques for descriptor generation and clustering of large combinatorial libraries. Journal of Molecular Graphics and Modelling. 18(4-5). 452–463. 27 indexed citations
4.
Willett, Peter, John M. Barnard, & Geoffrey M. Downs. (1998). Chemical Similarity Searching. Journal of Chemical Information and Computer Sciences. 38(6). 983–996. 1307 indexed citations breakdown →
5.
Barnard, John M. & G. M. DOWNS. (1997). Chemical Fragment Generation and Clustering Software. Journal of Chemical Information and Computer Sciences. 37(1). 141–142. 85 indexed citations
6.
Barnard, John M. & G. M. DOWNS. (1996). Computer representation and manipulation of combinatorial libraries. Perspectives in Drug Discovery and Design. 7-8(1). 13–30. 6 indexed citations
7.
Allen, Frank H., John M. Barnard, Anthony Cook, & Sydney R. Hall. (1995). The Molecular Information File (MIF): Core Specifications of a New Standard Format for Chemical Data. Journal of Chemical Information and Computer Sciences. 35(3). 412–427. 11 indexed citations
8.
Barnard, John M.. (1993). Substructure searching methods: Old and new. Journal of Chemical Information and Computer Sciences. 33(4). 532–538. 112 indexed citations
9.
Barnard, John M.. (1991). A comparison of different approaches to Markush structure handling. Journal of Chemical Information and Computer Sciences. 31(1). 64–68. 35 indexed citations
11.
Barnard, John M.. (1990). Draft specification for revised version of the Standard Molecular Data (SMD) Format. Journal of Chemical Information and Computer Sciences. 30(1). 81–96. 14 indexed citations
12.
Barnard, John M., et al.. (1988). When Public Becomes Private. Management Decision. 26(1). 11–15. 3 indexed citations
13.
Acree, Terry E., et al.. (1988). Variation in odor detection thresholds determined by charm analysis. Chemical Senses. 13(3). 435–444. 46 indexed citations
14.
Gillet, Valerie J., Michael Lynch, Peter Willett, et al.. (1986). Computer storage and retrieval of generic chemical structures in patents. 7. Parallel simulation of a relaxation algorithm for chemical substructure search. Journal of Chemical Information and Computer Sciences. 26(3). 118–126. 45 indexed citations
15.
Lynch, Michael, et al.. (1985). Generic structure storage and retrieval. Journal of Chemical Information and Computer Sciences. 25(3). 264–270. 13 indexed citations
16.
Barnard, John M.. (1984). Computer Handling of Generic Chemical Structures. 15 indexed citations
17.
Barnard, John M., et al.. (1982). Computer storage and retrieval of generic structures in chemical patents. 4. An extended connection table representation for generic structures. Journal of Chemical Information and Computer Sciences. 22(3). 160–164. 15 indexed citations
18.
Lynch, Michael, et al.. (1981). Computer storage and retrieval of generic chemical structures in patents. 1. Introduction and general strategy. Journal of Chemical Information and Computer Sciences. 21(3). 148–150. 18 indexed citations
19.
Barnard, John M., et al.. (1981). SCAMP-- A Computer-Based Information Delivery System for Cooperative Extension. eCommons (Cornell University). 3 indexed citations
20.
Lynch, Michael, et al.. (1981). Computer storage and retrieval of generic chemical structures in patents. 3. Chemical grammars and their role in the manipulation of chemical structures. Journal of Chemical Information and Computer Sciences. 21(3). 161–168. 11 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

Rankless by CCL
2026