Stephen Soderland

45 papers and 3.5k indexed citations i.

About

Stephen Soderland is a scholar working on Artificial Intelligence, Information Systems and Molecular Biology. According to data from OpenAlex, Stephen Soderland has authored 45 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Artificial Intelligence, 20 papers in Information Systems and 7 papers in Molecular Biology. Recurrent topics in Stephen Soderland’s work include Topic Modeling (32 papers), Natural Language Processing Techniques (32 papers) and Web Data Mining and Analysis (14 papers). Stephen Soderland is often cited by papers focused on Topic Modeling (32 papers), Natural Language Processing Techniques (32 papers) and Web Data Mining and Analysis (14 papers). Stephen Soderland collaborates with scholars based in United States. Stephen Soderland's co-authors include Oren Etzioni, Daniel S. Weld, Mausam Mausam, Janara Christensen and Doug Downey and has published in prestigious journals such as Communications of the ACM, Artificial Intelligence and Radiographics.

In The Last Decade

Fields of papers citing papers by Stephen Soderland

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

Countries citing papers authored by Stephen Soderland

Since Specialization
Citations

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

Rankless by CCL
2025