Bounds on slow roll and the de Sitter Swampland
Impact in
Classified as
- Authors
- Sumit K. GargChethan Krishnan
- Journal
- NOT FOUND REPOSITORY (Indian Institute of Science Bangalore)
In The Last Decade
doi.org/w22694899 →Countries where authors are citing Bounds on slow roll and the de Sitter Swampland
This map shows the geographic impact of Bounds on slow roll and the de Sitter Swampland. 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 Bounds on slow roll and the de Sitter Swampland with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bounds on slow roll and the de Sitter Swampland more than expected).
Fields of papers citing Bounds on slow roll and the de Sitter Swampland
This network shows the impact of Bounds on slow roll and the de Sitter Swampland. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Bounds on slow roll and the de Sitter Swampland.
About Bounds on slow roll and the de Sitter Swampland
This paper, published in 2019, received 341 indexed citations . Written by Sumit K. Garg and Chethan Krishnan covering the research area of Nuclear and High Energy Physics and Astronomy and Astrophysics. It is primarily cited by scholars working on Astronomy and Astrophysics (324 citations), Nuclear and High Energy Physics (311 citations), Statistical and Nonlinear Physics (72 citations), Oceanography (20 citations) and Atomic and Molecular Physics, and Optics (9 citations). Published in NOT FOUND REPOSITORY (Indian Institute of Science Bangalore).
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/w22694899.