John C. Dearden

172 papers receiving 6.2k citations

Hit Papers

QSAR Modeling: Where Have You Been? Where Are You Going To? 2013 · 1.4k citations
1.4k20132026201720214008001.2k

Peers

John C. Dearden
Comparison fields: 5 of 192
  • Computational Theory and Mathematics 3.1k
  • Pharmaceutical Science 393
  • Spectroscopy 1.0k
  • Organic Chemistry 1.6k
  • Health, Toxicology and Mutagenesis 754
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Countries citing papers authored by John C. Dearden

Since Specialization
Citations

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

Fields of papers citing papers by John C. Dearden

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside John C. Dearden, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with John C. Dearden Line = papers co-authored together John C. Dearden links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20207
2 2009361
3 200757
4 20047
5 20021
6 19982
7 19961
8 19966
9 199155
10 199168
11
The withering away of the IS organization
199041
12
La evaluación de los directores de centros de beneficios
19880
13 198811
14
Quantitative approaches to drug design : proceedings of the Fourth European Symposium on Chemical Structure-Biological Activity: Quantitative Approaches, Bath, U.K., September 6-9, 1982
19832
15
Management control systems : text and cases
197627
16
Management control systems : text, cases, and readings
197213
17
MIS Is a Mirage.
1972121
18
Managing computer-based information systems
197122
19
Management information systems : text and cases
196626
20
Management control systems : cases and readings
196519

About John C. Dearden

John C. Dearden is a scholar working on Computational Theory and Mathematics, Spectroscopy, Filtration and Separation, Physical and Theoretical Chemistry and Organic Chemistry, having authored 179 papers that have together received 6.7k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (84 papers), Analytical Chemistry and Chromatography (38 papers), Free Radicals and Antioxidants (24 papers), Environmental Toxicology and Ecotoxicology (17 papers), Electrochemical Analysis and Applications (10 papers), Crystallization and Solubility Studies (10 papers), Metabolomics and Mass Spectrometry Studies (8 papers) and Chemistry and Chemical Engineering (8 papers). The work is most often cited by research in Computational Theory and Mathematics (3.1k citations), Pharmaceutical Science (393 citations), Spectroscopy (1.0k citations), Organic Chemistry (1.6k citations) and Health, Toxicology and Mutagenesis (754 citations). John C. Dearden has collaborated with scholars based in United Kingdom, Russia and United States. Frequent co-authors include M Cronin, Klaus L.E. Kaiser, W. F. Forbes, Paola Gramatica, Gary P. Moss, Ann M. Richard, Romualdo Benigni, Alexandre Varnek, Johann Gasteiger and Viviana Consonni. Their work appears in journals such as Journal of Pharmacy and Pharmacology, SAR and QSAR in environmental research, Canadian Journal of Chemistry, Chemosphere and Environmental Toxicology and Chemistry.

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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