Inverse problems = Quest for information
Impact in
- Geophysics 566
Classified as
- Authors
- Albert TarantolaBernard Valette
In The Last Decade
doi.org/w7596590 →Countries where authors are citing Inverse problems = Quest for information
This map shows the geographic impact of Inverse problems = Quest for information. 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 Inverse problems = Quest for information with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Inverse problems = Quest for information more than expected).
Fields of papers citing Inverse problems = Quest for information
This network shows the impact of Inverse problems = Quest for information. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Inverse problems = Quest for information.
About Inverse problems = Quest for information
This paper, published in 1982, received 771 indexed citations . Written by Albert Tarantola and Bernard Valette covering the research area of Statistical and Nonlinear Physics, Artificial Intelligence and Computational Theory and Mathematics. It is primarily cited by scholars working on Geophysics (566 citations), Ocean Engineering (158 citations), Artificial Intelligence (141 citations), Atmospheric Science (70 citations) and Mechanical Engineering (64 citations).
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/w7596590.