Jay G. Wacker

47 papers and 3.3k indexed citations i.

About

Jay G. Wacker is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics and Artificial Intelligence. According to data from OpenAlex, Jay G. Wacker has authored 47 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Nuclear and High Energy Physics, 22 papers in Astronomy and Astrophysics and 5 papers in Artificial Intelligence. Recurrent topics in Jay G. Wacker’s work include Particle physics theoretical and experimental studies (37 papers), Dark Matter and Cosmic Phenomena (24 papers) and Cosmology and Gravitation Theories (22 papers). Jay G. Wacker is often cited by papers focused on Particle physics theoretical and experimental studies (37 papers), Dark Matter and Cosmic Phenomena (24 papers) and Cosmology and Gravitation Theories (22 papers). Jay G. Wacker collaborates with scholars based in United States, Germany and Israel. Jay G. Wacker's co-authors include Thomas Grégoire, Tomer Volansky, Yonit Hochberg, Eric Kuflik, Mariangela Lisanti, Savas Dimopoulos, Nima Arkani–Hamed, John McGreevy, Shamit Kachru and Eder Izaguirre and has published in prestigious journals such as Physical Review Letters, Physics Letters B and Journal of High Energy Physics.

In The Last Decade

Co-authorship network of co-authors of Jay G. Wacker i

Fields of papers citing papers by Jay G. Wacker

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

Countries citing papers authored by Jay G. Wacker

Since Specialization
Citations

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

Rankless by CCL
2025