Jacob Bien

40 papers and 1.2k indexed citations i.

About

Jacob Bien is a scholar working on Statistics and Probability, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Jacob Bien has authored 40 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Statistics and Probability, 11 papers in Molecular Biology and 9 papers in Artificial Intelligence. Recurrent topics in Jacob Bien’s work include Statistical Methods and Inference (17 papers), Sparse and Compressive Sensing Techniques (6 papers) and Gene expression and cancer classification (5 papers). Jacob Bien is often cited by papers focused on Statistical Methods and Inference (17 papers), Sparse and Compressive Sensing Techniques (6 papers) and Gene expression and cancer classification (5 papers). Jacob Bien collaborates with scholars based in United States, Canada and Germany. Jacob Bien's co-authors include Robert Tibshirani, Jonathan Taylor, Noah Simon, Ryan J. Tibshirani, Trevor Hastie, Jerome H. Friedman, David S. Matteson, Daniela Witten, Lucy L. Gao and Florentina Bunea and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Statistical Association and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Jacob Bien i

Fields of papers citing papers by Jacob Bien

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

Countries citing papers authored by Jacob Bien

Since Specialization
Citations

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

Rankless by CCL
2025