Product graphs: structure and recognition

572 indexed citations
published 2000

Impact in

Classified as

Authors
Wilfried ImrichSandi Klavžar
Journal
CERN Document Server (European Organization for Nuclear Research)

In The Last Decade

doi.org/w322395 →

Countries where authors are citing Product graphs: structure and recognition

Specialization
Citations

This map shows the geographic impact of Product graphs: structure and recognition. 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 Product graphs: structure and recognition with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Product graphs: structure and recognition more than expected).

Fields of papers citing Product graphs: structure and recognition

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Product graphs: structure and recognition. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Product graphs: structure and recognition.

About Product graphs: structure and recognition

This paper, published in 2000, received 572 indexed citations . Written by Wilfried Imrich and Sandi Klavžar covering the research area of Computer Vision and Pattern Recognition. It is primarily cited by scholars working on Computational Theory and Mathematics (424 citations), Geometry and Topology (250 citations), Computer Networks and Communications (112 citations), Discrete Mathematics and Combinatorics (103 citations) and Electrical and Electronic Engineering (92 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/w322395.

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