James Gain

40 papers and 948 indexed citations i.

About

James Gain is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Computational Mechanics. According to data from OpenAlex, James Gain has authored 40 papers receiving a total of 948 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computer Graphics and Computer-Aided Design, 15 papers in Computer Vision and Pattern Recognition and 15 papers in Computational Mechanics. Recurrent topics in James Gain’s work include Computer Graphics and Visualization Techniques (22 papers), 3D Shape Modeling and Analysis (15 papers) and Remote Sensing and LiDAR Applications (8 papers). James Gain is often cited by papers focused on Computer Graphics and Visualization Techniques (22 papers), 3D Shape Modeling and Analysis (15 papers) and Remote Sensing and LiDAR Applications (8 papers). James Gain collaborates with scholars based in South Africa, France and United States. James Gain's co-authors include Éric Galin, Adrien Peytavie, Éric Guérin, Patrick Marais and Marie‐Paule Cani and has published in prestigious journals such as Journal of Computational Chemistry, Journal of Chemical Theory and Computation and ACM Transactions on Graphics.

In The Last Decade

Fields of papers citing papers by James Gain

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

Countries citing papers authored by James Gain

Since Specialization
Citations

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

Rankless by CCL
2025