Daniel J. Egger

59 papers and 2.4k indexed citations i.

About

Daniel J. Egger is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Electrical and Electronic Engineering. According to data from OpenAlex, Daniel J. Egger has authored 59 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Artificial Intelligence, 33 papers in Atomic and Molecular Physics, and Optics and 7 papers in Electrical and Electronic Engineering. Recurrent topics in Daniel J. Egger’s work include Quantum Computing Algorithms and Architecture (43 papers), Quantum Information and Cryptography (40 papers) and Quantum and electron transport phenomena (22 papers). Daniel J. Egger is often cited by papers focused on Quantum Computing Algorithms and Architecture (43 papers), Quantum Information and Cryptography (40 papers) and Quantum and electron transport phenomena (22 papers). Daniel J. Egger collaborates with scholars based in Switzerland, United States and Germany. Daniel J. Egger's co-authors include Frank K. Wilhelm, Stefan Woerner, Stefan Filipp, Marc Ganzhorn, G. Salis, Ivano Tavernelli, Andreas Fuhrer, Panagiotis Kl. Barkoutsos, Nikolaj Moll and Jakub Mareček and has published in prestigious journals such as Nature, Physical Review Letters and Cancer Research.

In The Last Decade

Co-authorship network of co-authors of Daniel J. Egger i

Fields of papers citing papers by Daniel J. Egger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel J. Egger. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Daniel J. Egger. The network helps show where Daniel J. Egger may publish in the future.

Countries citing papers authored by Daniel J. Egger

Since Specialization
Citations

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

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

Explore authors with similar magnitude of impact

Rankless by CCL
2025