John Niekrasz

6 papers and 28 indexed citations i.

About

John Niekrasz is a scholar working on Artificial Intelligence, Materials Chemistry and Social Psychology. According to data from OpenAlex, John Niekrasz has authored 6 papers receiving a total of 28 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 1 paper in Materials Chemistry and 1 paper in Social Psychology. Recurrent topics in John Niekrasz’s work include Speech and dialogue systems (5 papers), Natural Language Processing Techniques (4 papers) and Topic Modeling (2 papers). John Niekrasz is often cited by papers focused on Speech and dialogue systems (5 papers), Natural Language Processing Techniques (4 papers) and Topic Modeling (2 papers). John Niekrasz collaborates with scholars based in United States, United Kingdom and Germany. John Niekrasz's co-authors include Matthew Purver, Stanley Peters, John Dowding, Peter B. Madrid and Lawrence Cavedon and has published in prestigious journals such as Language Resources and Evaluation.

In The Last Decade

Fields of papers citing papers by John Niekrasz

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

Countries citing papers authored by John Niekrasz

Since Specialization
Citations

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

Rankless by CCL
2025