The CoNLL 2007 Shared Task on Dependency Parsing
Impact in
Classified as
- Journal
- Publication Server of Goethe University Frankfurt am Main (Goethe University Frankfurt)
In The Last Decade
doi.org/w10596267 →Countries where authors are citing The CoNLL 2007 Shared Task on Dependency Parsing
This map shows the geographic impact of The CoNLL 2007 Shared Task on Dependency Parsing. 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 The CoNLL 2007 Shared Task on Dependency Parsing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites The CoNLL 2007 Shared Task on Dependency Parsing more than expected).
Fields of papers citing The CoNLL 2007 Shared Task on Dependency Parsing
This network shows the impact of The CoNLL 2007 Shared Task on Dependency Parsing. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the The CoNLL 2007 Shared Task on Dependency Parsing.
About The CoNLL 2007 Shared Task on Dependency Parsing
This paper, published in 2007, received 495 indexed citations . Written by Joakim Nivre, Johan Hall, Sandra Kübler, Ryan McDonald, Jens Nilsson, Sebastian Riedel and Deniz Yüret covering the research area of Artificial Intelligence. It is primarily cited by scholars working on Artificial Intelligence (483 citations), Molecular Biology (37 citations), Language and Linguistics (29 citations), Information Systems (28 citations) and Computer Vision and Pattern Recognition (20 citations). Published in Publication Server of Goethe University Frankfurt am Main (Goethe University Frankfurt).
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/w10596267.