Chris Williams
About
Chris Williams is a scholar working on Computational Theory and Mathematics, Molecular Biology and Artificial Intelligence.
According to data from OpenAlex, Chris Williams has authored 10 papers receiving a total of 499 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computational Theory and Mathematics, 4 papers in Molecular Biology and 3 papers in Artificial Intelligence. Recurrent topics in Chris Williams’s work include Computational Drug Discovery Methods (6 papers), Chemical Synthesis and Analysis (3 papers) and Estrogen and related hormone effects (1 paper). Chris Williams is often cited by papers focused on Computational Drug Discovery Methods (6 papers), Chemical Synthesis and Analysis (3 papers) and Estrogen and related hormone effects (1 paper). Chris Williams collaborates with scholars based in United States, United Kingdom and Japan. Chris Williams's co-authors include Paul Labute, Miklós Fehér, Jonathan M. Schmidt, Ran Lee, Sanjeev P. Bhavnani, Zhiwei Steven Wu, James Brian Byrd, Casey S. Greene, Brett K. Beaulieu‐Jones and Hua Gao and has published in prestigious journals such as Journal of Medicinal Chemistry, Journal of Chemical Information and Modeling and Circulation Cardiovascular Quality and Outcomes.
In The Last Decade
Co-authorship network of co-authors of Chris Williams i
Fields of papers citing papers by Chris Williams
Since SpecializationEngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics
This network shows the specialization of papers citing the papers produced by Chris Williams. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Chris Williams may publish in the future.
Countries citing papers authored by Chris Williams
Since SpecializationCitations
This map shows the geographic impact of Chris Williams'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 Chris Williams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chris Williams more than expected).
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