Learning to Rank for Information Retrieval
- Authors
- Tie‐Yan Liu
In The Last Decade
doi.org/10.1561/1500000016 →Countries where authors are citing Learning to Rank for Information Retrieval
This map shows the geographic impact of Learning to Rank for Information Retrieval. 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 Learning to Rank for Information Retrieval with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Learning to Rank for Information Retrieval more than expected).
Fields of papers citing Learning to Rank for Information Retrieval
This network shows the impact of Learning to Rank for Information Retrieval. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Learning to Rank for Information Retrieval.
About Learning to Rank for Information Retrieval
This paper, published in 2009, received 1.0k indexed citations . Written by Tie‐Yan Liu covering the research area of Information Systems, Artificial Intelligence and Management Science and Operations Research. It is primarily cited by scholars working on Artificial Intelligence (600 citations), Information Systems (505 citations) and Computer Vision and Pattern Recognition (268 citations).
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/10.1561/1500000016.