The Steiner Tree Problem
Impact in
Classified as
- Journal
- CERN Document Server (European Organization for Nuclear Research)
In The Last Decade
doi.org/w71104085 →Countries where authors are citing The Steiner Tree Problem
This map shows the geographic impact of The Steiner Tree Problem. 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 The Steiner Tree Problem with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites The Steiner Tree Problem more than expected).
Fields of papers citing The Steiner Tree Problem
This network shows the impact of The Steiner Tree Problem. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the The Steiner Tree Problem.
About The Steiner Tree Problem
This paper, published in 1992, received 547 indexed citations . Written by Frank K. Hwang, Dana Richards and Paweł Winter covering the research area of Physical and Theoretical Chemistry. It is primarily cited by scholars working on Electrical and Electronic Engineering (274 citations), Computer Networks and Communications (214 citations), Computational Theory and Mathematics (150 citations), Computer Graphics and Computer-Aided Design (77 citations) and Hardware and Architecture (59 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/w71104085.