Lectures on Functional Equations and Their Applications
- Authors
- J. Aczél
- Journal
- CERN Document Server (European Organization for Nuclear Research)
In The Last Decade
doi.org/w89323371 →Countries where authors are citing Lectures on Functional Equations and Their Applications
This map shows the geographic impact of Lectures on Functional Equations and Their Applications. 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 Lectures on Functional Equations and Their Applications with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lectures on Functional Equations and Their Applications more than expected).
Fields of papers citing Lectures on Functional Equations and Their Applications
This network shows the impact of Lectures on Functional Equations and Their Applications. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Lectures on Functional Equations and Their Applications.
About Lectures on Functional Equations and Their Applications
This paper, published in 2006, received 377 indexed citations . Written by J. Aczél covering the research area of Applied Mathematics. It is primarily cited by scholars working on Economics and Econometrics (100 citations), Management Science and Operations Research (97 citations) and Applied Mathematics (82 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/w89323371.