John W. Raymond

1.6k total citations
28 papers, 1.1k citations indexed

About

John W. Raymond is a scholar working on Computational Theory and Mathematics, Spectroscopy and Computer Vision and Pattern Recognition. According to data from OpenAlex, John W. Raymond has authored 28 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computational Theory and Mathematics, 8 papers in Spectroscopy and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in John W. Raymond's work include Computational Drug Discovery Methods (13 papers), Analytical Chemistry and Chromatography (7 papers) and Graph Theory and Algorithms (5 papers). John W. Raymond is often cited by papers focused on Computational Drug Discovery Methods (13 papers), Analytical Chemistry and Chromatography (7 papers) and Graph Theory and Algorithms (5 papers). John W. Raymond collaborates with scholars based in United States, United Kingdom and India. John W. Raymond's co-authors include Peter Willett, Pritam Chanda, Eleanor J. Gardiner, Tony Rogers, David R. Shonnard, Andrew Kline, Arthur K. Cebrowski, A. Rault, James Stevens and David E. Watson and has published in prestigious journals such as Journal of Hazardous Materials, Journal of Medicinal Chemistry and Journal of Computational Chemistry.

In The Last Decade

John W. Raymond

27 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John W. Raymond United States 14 520 411 203 167 141 28 1.1k
Dominique Bonvin Switzerland 40 405 0.8× 532 1.3× 92 0.5× 168 1.0× 186 1.3× 326 6.0k
Minfeng Zhu China 19 477 0.9× 621 1.5× 650 3.2× 201 1.2× 101 0.7× 48 2.0k
Volkan Atalay Türkiye 17 548 1.1× 742 1.8× 430 2.1× 210 1.3× 27 0.2× 67 1.6k
Sajjad Gharaghani Iran 22 447 0.9× 663 1.6× 200 1.0× 288 1.7× 62 0.4× 82 1.8k
Haichun Liu China 20 422 0.8× 533 1.3× 102 0.5× 94 0.6× 76 0.5× 93 1.6k
Nicolas Cebron Germany 6 224 0.4× 337 0.8× 92 0.5× 196 1.2× 49 0.3× 14 979
Michael L. Raymer United States 18 154 0.3× 660 1.6× 256 1.3× 530 3.2× 62 0.4× 67 1.7k
Genyuan Li United States 25 401 0.8× 322 0.8× 34 0.2× 146 0.9× 108 0.8× 70 2.4k
Qingsong Xu China 14 150 0.3× 358 0.9× 73 0.4× 188 1.1× 174 1.2× 37 1.6k
John H. Kalivas United States 33 267 0.5× 307 0.7× 84 0.4× 208 1.2× 490 3.5× 119 3.3k

Countries citing papers authored by John W. Raymond

Since Specialization
Citations

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

Fields of papers citing papers by John W. Raymond

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John W. Raymond

This figure shows the co-authorship network connecting the top 25 collaborators of John W. Raymond. A scholar is included among the top collaborators of John W. Raymond 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 W. Raymond. John W. Raymond 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.
Cryer, Steven A. & John W. Raymond. (2024). Interpreting Image Patterns for Agricultural Sprays Using Statistics and Machine Learning Techniques. Fluids. 9(2). 40–40.
2.
Cryer, Steven A., et al.. (2020). Video and image classification using atomisation spray image patterns and deep learning. Biosystems Engineering. 200. 13–22. 21 indexed citations
3.
Cryer, Steven A., et al.. (2020). Interpreting atomization of agricultural spray image patterns using latent Dirichlet allocation techniques. Artificial Intelligence in Agriculture. 4. 253–261. 9 indexed citations
4.
Raymond, John W., et al.. (2019). Optimization of Spectrum Sensing Time in a Cooperative Cognitive Radio. ATBU Journal of Science, Technology & Education. 7(2). 133–142. 1 indexed citations
5.
Raymond, John W., et al.. (2018). DeepSort: deep convolutional networks for sorting haploid maize seeds. BMC Bioinformatics. 19(S9). 289–289. 122 indexed citations
6.
Raymond, John W., Daniel D. Holsworth, & Mehran Jalaie. (2010). The flexible alignment of molecular structures using simulated annealing with weighted Lagrangian multipliers. Journal of Computational Chemistry. 32(2). 210–217. 2 indexed citations
7.
Raymond, John W., et al.. (2010). A RF source localization and tracking system. 858–863. 7 indexed citations
8.
Raymond, John W., et al.. (2009). Rationalizing Lead Optimization by Associating Quantitative Relevance with Molecular Structure Modification. Journal of Chemical Information and Modeling. 49(8). 1952–1962. 23 indexed citations
9.
Bath, Peter A., Cheryl Craigs, Ravi Maheswaran, John W. Raymond, & Peter Willett. (2005). Use of Graph Theory to Identify Patterns of Deprivation and High Morbidity and Mortality in Public Health Data Sets. Journal of the American Medical Informatics Association. 12(6). 630–641. 4 indexed citations
10.
Raymond, John W. & Christopher E. Kibbey. (2005). An Automated Method for Exploring Targeted Substructural Diversity within Sets of Chemical Structures. Journal of Chemical Information and Modeling. 45(5). 1195–1204. 3 indexed citations
11.
Raymond, John W., et al.. (2004). Conditional Probability:  A New Fusion Method for Merging Disparate Virtual Screening Results. Journal of Chemical Information and Computer Sciences. 44(2). 601–609. 16 indexed citations
12.
Raymond, John W., et al.. (2003). Comparison of chemical clustering methods using graph- and fingerprint-based similarity measures. Journal of Molecular Graphics and Modelling. 21(5). 421–433. 43 indexed citations
13.
Raymond, John W. & Peter Willett. (2003). Similarity Searching in Databases of Flexible 3D Structures Using Smoothed Bounded Distance Matrices. Journal of Chemical Information and Computer Sciences. 43(3). 908–916. 18 indexed citations
14.
Bath, Peter A., Cheryl Craigs, Ravi Maheswaran, John W. Raymond, & Peter Willett. (2002). Use of graph theory for data mining in public health. WIT transactions on information and communication technologies. 28. 2 indexed citations
15.
Raymond, John W. & Peter Willett. (2002). Effectiveness of graph-based and fingerprint-based similarity measures for virtual screening of 2D chemical structure databases. Journal of Computer-Aided Molecular Design. 16(1). 59–71. 65 indexed citations
16.
Raymond, John W. & Peter Willett. (2002). Maximum common subgraph isomorphism algorithms for the matching of chemical structures. Journal of Computer-Aided Molecular Design. 16(7). 521–533. 268 indexed citations
17.
Bath, Peter A., Cheryl Craigs, Ravi Maheswaran, John W. Raymond, & Peter Willett. (2002). Validation of graph-theoretical methods for pattern identification in public health datasets. Health Informatics Journal. 8(4). 167–173. 5 indexed citations
18.
Raymond, John W., Tony Rogers, David R. Shonnard, & Andrew Kline. (2001). A review of structure-based biodegradation estimation methods. Journal of Hazardous Materials. 84(2-3). 189–215. 97 indexed citations
19.
Raymond, John W.. (1997). Airports and spaceports : a historical comparison. Defense Technical Information Center (DTIC). 3 indexed citations
20.
Raymond, John W., et al.. (1982). Computation of the intervals of uncertainties about the parameters found for identification. NASA Technical Reports Server (NASA). 1 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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