Lawrence Shih
About
Lawrence Shih is a scholar working on Economics and Econometrics, Artificial Intelligence and Information Systems.
According to data from OpenAlex, Lawrence Shih has authored 4 papers receiving a total of 399 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Economics and Econometrics, 2 papers in Artificial Intelligence and 1 paper in Information Systems. Recurrent topics in Lawrence Shih’s work include Complex Systems and Time Series Analysis (2 papers), Text and Document Classification Technologies (2 papers) and Topic Modeling (1 paper). Lawrence Shih is often cited by papers focused on Complex Systems and Time Series Analysis (2 papers), Text and Document Classification Technologies (2 papers) and Topic Modeling (1 paper). Lawrence Shih collaborates with scholars based in United States. Lawrence Shih's co-authors include Jason D. M. Rennie, David R. Karger, Yu-Han Chang, Jaime Teevan and David L. Greene and has published in prestigious journals such as Complexity.
In The Last Decade
Fields of papers citing papers by Lawrence Shih
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 Lawrence Shih. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Lawrence Shih may publish in the future.
Countries citing papers authored by Lawrence Shih
Since SpecializationCitations
This map shows the geographic impact of Lawrence Shih'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 Lawrence Shih with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lawrence Shih more than expected).
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