ACM SIGIR Forum

809 papers and 18.3k indexed citations i.

About

The 809 papers published in ACM SIGIR Forum in the last decades have received a total of 18.3k indexed citations. Papers published in ACM SIGIR Forum usually cover Artificial Intelligence (433 papers), Information Systems (377 papers) and Computer Networks and Communications (147 papers) specifically the topics of Information Retrieval and Search Behavior (228 papers), Semantic Web and Ontologies (161 papers) and Topic Modeling (134 papers). The most active scholars publishing in ACM SIGIR Forum are Thomas Hofmann, W. Bruce Croft, Andrei Broder, John Lafferty, ChengXiang Zhai, Jay Ponte, Jaime Carbonell, Jade Goldstein, Victor Lavrenko and Kalervo Järvelin.

In The Last Decade

Fields of papers published in ACM SIGIR Forum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in ACM SIGIR Forum. 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 ACM SIGIR Forum.

Countries where authors publish in ACM SIGIR Forum

Since Specialization
Citations

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