Daniel Zügner

9 papers and 267 indexed citations i.

About

Daniel Zügner is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Molecular Biology. According to data from OpenAlex, Daniel Zügner has authored 9 papers receiving a total of 267 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 3 papers in Statistical and Nonlinear Physics and 1 paper in Molecular Biology. Recurrent topics in Daniel Zügner’s work include Adversarial Robustness in Machine Learning (5 papers), Advanced Graph Neural Networks (4 papers) and Complex Network Analysis Techniques (2 papers). Daniel Zügner is often cited by papers focused on Adversarial Robustness in Machine Learning (5 papers), Advanced Graph Neural Networks (4 papers) and Complex Network Analysis Techniques (2 papers). Daniel Zügner collaborates with scholars based in Germany, Denmark and United States. Daniel Zügner's co-authors include Stephan Günnemann, Amir Akbarnejad, Oliver Borchert, Oleksandr Shchur, Aleksandar Bojchevski, Jure Leskovec, Michele Catasta, Cecilia Clementi, Robert Pinsler and Rianne van den Berg and has published in prestigious journals such as Journal of Chemical Theory and Computation, ACM Transactions on Knowledge Discovery from Data and arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of Daniel Zügner i

Fields of papers citing papers by Daniel Zügner

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

Countries citing papers authored by Daniel Zügner

Since Specialization
Citations

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

Rankless by CCL
2025