Countries citing papers authored by Andreas Maletti
Since
Specialization
Citations
This map shows the geographic impact of Andreas Maletti's research. 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 Andreas Maletti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andreas Maletti more than expected).
This network shows the impact of papers produced by Andreas Maletti. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Andreas Maletti. The network helps show where Andreas Maletti may publish in the future.
Co-authorship network of co-authors of Andreas Maletti
This figure shows the co-authorship network connecting the top 25 collaborators of Andreas Maletti.
A scholar is included among the top collaborators of Andreas Maletti based on the total number of
citations received by their joint publications. Widths of edges
represent the number of papers authors have co-authored together.
Node borders
signify the number of papers an author published with Andreas Maletti. Andreas Maletti is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Fülöp, Zoltán & Andreas Maletti. (2016). Linking theorems for tree transducers. Journal of Computer and System Sciences. 82(7). 1201–1222.1 indexed citations
Liu, Juan, et al.. (2014). A tunable language model for statistical machine translation. Conference of the Association for Machine Translation in the Americas. 356–368.2 indexed citations
5.
Maletti, Andreas, et al.. (2013). Shallow Local Multi-Bottom-up Tree Transducers in Statistical Machine Translation. Meeting of the Association for Computational Linguistics. 811–821.8 indexed citations
6.
Maletti, Andreas & Joost Engelfriet. (2012). Strong Lexicalization of Tree Adjoining Grammars. Meeting of the Association for Computational Linguistics. 506–515.6 indexed citations
7.
Maletti, Andreas. (2012). Every sensible extended top-down tree transducer is a multi bottom-up tree transducer. North American Chapter of the Association for Computational Linguistics. 263–273.5 indexed citations
Maletti, Andreas, et al.. (2011). Proceedings of the 9th International Workshop on Finite State Methods and Natural Language Processing.18 indexed citations
10.
Maletti, Andreas. (2011). How to train your multi bottom-up tree transducer. Meeting of the Association for Computational Linguistics. 825–834.12 indexed citations
11.
Fülöp, Zoltán, Andreas Maletti, & Heiko Vogler. (2011). Weighted Extended Tree Transducers. Fundamenta Informaticae. 111(2). 163–202.11 indexed citations
12.
Maletti, Andreas. (2010). A Tree Transducer Model for Synchronous Tree-Adjoining Grammars. Meeting of the Association for Computational Linguistics. 1067–1076.6 indexed citations
13.
Maletti, Andreas & Giorgio Satta. (2010). Parsing and Translation Algorithms Based on Weighted Extended Tree Transducers. Meeting of the Association for Computational Linguistics. 19–27.2 indexed citations
14.
Maletti, Andreas. (2010). Why Synchronous Tree Substitution Grammars. North American Chapter of the Association for Computational Linguistics. 876–884.15 indexed citations
15.
Maletti, Andreas. (2010). Survey: Tree Transducers in Machine Translation.. 11–32.5 indexed citations
16.
Fülöp, Zoltán, Andreas Maletti, & Heiko Vogler. (2010). Preservation of Recognizability for Synchronous Tree Substitution Grammars. Meeting of the Association for Computational Linguistics. 1–9.7 indexed 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.