Information Processing Letters

6.9k papers and 80.9k indexed citations i.

About

The 6.9k papers published in Information Processing Letters in the last decades have received a total of 80.9k indexed citations. Papers published in Information Processing Letters usually cover Computational Theory and Mathematics (3.5k papers), Artificial Intelligence (2.8k papers) and Computer Networks and Communications (2.3k papers) specifically the topics of Advanced Graph Theory Research (1.4k papers), Combinatorial Optimization and Complexity Theory (1.1k papers) and Algorithms and Data Compression (1.0k papers). The most active scholars publishing in Information Processing Letters are Ioan-Cristian Trelea, Ronald Graham, Tomihisa Kamada, Satoru Kawai, Robert E. Tarjan, R.A. Jarvis, Jon Bentley, Jeffrey Uhlmann, Alan A. Bertossi and Ronald L. Rivest.

In The Last Decade

Fields of papers published in Information Processing Letters

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Information Processing Letters. 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 Information Processing Letters.

Countries where authors publish in Information Processing Letters

Since Specialization
Citations

This map shows the geographic impact of research published in Information Processing Letters. 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 Information Processing Letters with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Information Processing Letters 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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