Lisa Wells

About

Lisa Wells is a scholar working on Management Information Systems, Molecular Biology and Computational Theory and Mathematics. According to data from OpenAlex, Lisa Wells has authored 3 papers receiving a total of 419 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Management Information Systems, 1 paper in Molecular Biology and 1 paper in Computational Theory and Mathematics. Recurrent topics in Lisa Wells’s work include Business Process Modeling and Analysis (2 papers), Genetics, Bioinformatics, and Biomedical Research (1 paper) and Petri Nets in System Modeling (1 paper). Lisa Wells is often cited by papers focused on Business Process Modeling and Analysis (2 papers), Genetics, Bioinformatics, and Biomedical Research (1 paper) and Petri Nets in System Modeling (1 paper). Lisa Wells collaborates with scholars based in Denmark. Lisa Wells's co-authors include Jeffrey Travis, Kurt Jensen and Lars Michael Kristensen and has published in prestigious journals such as International Journal on Software Tools for Technology Transfer.

In The Last Decade

Fields of papers citing papers by Lisa Wells

Since Specialization

EngineeringComputer 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 Lisa Wells. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Lisa Wells may publish in the future.

Countries citing papers authored by Lisa Wells

Since Specialization

Citations

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

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