AN ALGEBRAIC APPROACH TO THE ASSOCIATION SCHEMES OF CODING THEORY

371 indexed citations

Abstract

loading...

About

This paper, published in 2011, received 371 indexed citations. Written by P. Delsarte covering the research area of . It is primarily cited by scholars working on Artificial Intelligence (234 citations), Electrical and Electronic Engineering (218 citations) and Discrete Mathematics and Combinatorics (178 citations). Published in Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)).

In The Last Decade

doi.org/w68472145 →

Countries where authors are citing AN ALGEBRAIC APPROACH TO THE ASSOCIATION SCHEMES OF CODING THEORY

Specialization
Citations

This map shows the geographic impact of AN ALGEBRAIC APPROACH TO THE ASSOCIATION SCHEMES OF CODING THEORY. 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 AN ALGEBRAIC APPROACH TO THE ASSOCIATION SCHEMES OF CODING THEORY with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites AN ALGEBRAIC APPROACH TO THE ASSOCIATION SCHEMES OF CODING THEORY more than expected).

Fields of papers citing AN ALGEBRAIC APPROACH TO THE ASSOCIATION SCHEMES OF CODING THEORY

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of AN ALGEBRAIC APPROACH TO THE ASSOCIATION SCHEMES OF CODING THEORY. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the AN ALGEBRAIC APPROACH TO THE ASSOCIATION SCHEMES OF CODING THEORY.

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/w68472145.

Explore hit-papers with similar magnitude of impact

Rankless by CCL
2026