AMPL : a modeling language for mathematical programming
Impact in
Classified as
- Authors
- Robert FourerBrian W. Kernighan
In The Last Decade
doi.org/w60220308 →Countries where authors are citing AMPL : a modeling language for mathematical programming
This map shows the geographic impact of AMPL : a modeling language for mathematical programming. 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 AMPL : a modeling language for mathematical programming with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites AMPL : a modeling language for mathematical programming more than expected).
Fields of papers citing AMPL : a modeling language for mathematical programming
This network shows the impact of AMPL : a modeling language for mathematical programming. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the AMPL : a modeling language for mathematical programming.
About AMPL : a modeling language for mathematical programming
This paper, published in 1993, received 1.2k indexed citations . Written by Robert Fourer and Brian W. Kernighan covering the research area of Hardware and Architecture, Artificial Intelligence and Computer Networks and Communications. It is primarily cited by scholars working on Computer Networks and Communications (308 citations), Control and Systems Engineering (255 citations), Electrical and Electronic Engineering (223 citations), Computational Theory and Mathematics (205 citations) and Industrial and Manufacturing Engineering (174 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/w60220308.