Graphs and Combinatorics

2.4k papers and 15.1k indexed citations

About

The 2.4k papers published in Graphs and Combinatorics in the last decades have received a total of 15.1k indexed citations. Papers published in Graphs and Combinatorics usually cover Computational Theory and Mathematics (1.8k papers), Discrete Mathematics and Combinatorics (1.1k papers) and Electrical and Electronic Engineering (761 papers) specifically the topics of Advanced Graph Theory Research (1.5k papers), graph theory and CDMA systems (746 papers) and Limits and Structures in Graph Theory (746 papers). The most active scholars publishing in Graphs and Combinatorics are Noga Alon, Bojan Mohar, Ronald J. Gould, Alexander Sidorenko, Zoltán Füredi, Péter Frankl, Michael A. Henning, Xueliang Li, Hong‐Jian Lai and Andreas Huck.

In The Last Decade

Graphs and Combinatorics

2.0k papers receiving 14.1k citations

Fields of papers published in Graphs and Combinatorics

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Graphs and Combinatorics. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Graphs and Combinatorics.

Countries where authors publish in Graphs and Combinatorics

Since Specialization
Citations

This map shows the geographic impact of research published in Graphs and Combinatorics. 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 papers published in Graphs and Combinatorics with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Graphs and Combinatorics more than expected).

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.

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2026