Caroline Langensiepen

36 papers and 537 indexed citations i.

About

Caroline Langensiepen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Caroline Langensiepen has authored 36 papers receiving a total of 537 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 9 papers in Signal Processing. Recurrent topics in Caroline Langensiepen’s work include Context-Aware Activity Recognition Systems (18 papers), Time Series Analysis and Forecasting (8 papers) and Human Pose and Action Recognition (6 papers). Caroline Langensiepen is often cited by papers focused on Context-Aware Activity Recognition Systems (18 papers), Time Series Analysis and Forecasting (8 papers) and Human Pose and Action Recognition (6 papers). Caroline Langensiepen collaborates with scholars based in United Kingdom, Spain and The Netherlands. Caroline Langensiepen's co-authors include Ahmad Lotfi, David J. Brown, Xiaoqi Ma, Saisakul Chernbumroong and Sawsan M. Mahmoud and has published in prestigious journals such as Nuclear Physics B, Physics Letters B and Expert Systems with Applications.

In The Last Decade

Fields of papers citing papers by Caroline Langensiepen

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

Countries citing papers authored by Caroline Langensiepen

Since Specialization
Citations

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

Rankless by CCL
2025