Strong coupling expansion of Calabi-Yau compactification
Impact in
Classified as
- Authors
- Edward Witten
- Journal
- CERN Document Server (European Organization for Nuclear Research)
In The Last Decade
doi.org/w805992 →Countries where authors are citing Strong coupling expansion of Calabi-Yau compactification
This map shows the geographic impact of Strong coupling expansion of Calabi-Yau compactification. 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 Strong coupling expansion of Calabi-Yau compactification with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Strong coupling expansion of Calabi-Yau compactification more than expected).
Fields of papers citing Strong coupling expansion of Calabi-Yau compactification
This network shows the impact of Strong coupling expansion of Calabi-Yau compactification. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Strong coupling expansion of Calabi-Yau compactification.
About Strong coupling expansion of Calabi-Yau compactification
This paper, published in 1996, received 430 indexed citations . Written by Edward Witten covering the research area of Nuclear and High Energy Physics, Mathematical Physics and Geometry and Topology. It is primarily cited by scholars working on Nuclear and High Energy Physics (423 citations), Astronomy and Astrophysics (292 citations), Statistical and Nonlinear Physics (106 citations), Geometry and Topology (26 citations) and Mathematical Physics (13 citations). Published in CERN Document Server (European Organization for Nuclear Research).
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.
This paper is also available at doi.org/w805992.