Daniel Selsam

About

Daniel Selsam is a scholar working on Artificial Intelligence, Information Systems and Cell Biology. According to data from OpenAlex, Daniel Selsam has authored 2 papers receiving a total of 18 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Artificial Intelligence, 1 paper in Information Systems and 0 papers in Cell Biology. Recurrent topics in Daniel Selsam’s work include Software Engineering Research (1 paper), Explainable Artificial Intelligence (XAI) (1 paper) and Adversarial Robustness in Machine Learning (1 paper). Daniel Selsam is often cited by papers focused on Software Engineering Research (1 paper), Explainable Artificial Intelligence (XAI) (1 paper) and Adversarial Robustness in Machine Learning (1 paper). Daniel Selsam collaborates with scholars based in United States. Daniel Selsam's co-authors include Percy Liang, David L. Dill, Benedikt Bünz, Matthew Lamm and Leonardo de Moura and has published in prestigious journals such as and .

In The Last Decade

Fields of papers citing papers by Daniel Selsam

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

Countries citing papers authored by Daniel Selsam

Since Specialization

Citations

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

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