This map shows the geographic impact of Petr Sgall'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 Petr Sgall with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Petr Sgall more than expected).
This network shows the impact of papers produced by Petr Sgall. 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 Petr Sgall. The network helps show where Petr Sgall may publish in the future.
Co-authorship network of co-authors of Petr Sgall
This figure shows the co-authorship network connecting the top 25 collaborators of Petr Sgall.
A scholar is included among the top collaborators of Petr Sgall 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 Petr Sgall. Petr Sgall is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
20 of 20 papers shown
1.
Hajič, Jan, Eva Hajičová, Jarmila Panevová, et al.. (2012). Announcing Prague Czech-English Dependency Treebank 2.0. Language Resources and Evaluation. 3153–3160.86 indexed citations
2.
Plátek, Martin, et al.. (2007). Towards a Formal Model for Functional Generative Description Analysis by Reduction and Restarting Automata. The Prague Bulletin of Mathematical Linguistics. 87. 7–26.11 indexed citations
3.
Hajičová, Eva & Petr Sgall. (2006). Corpus Annotation as a Test of a Linguistic Theory.. Language Resources and Evaluation. 879–884.1 indexed citations
4.
Hajičová, Eva, et al.. (2004). Issues of Projectivity in the Prague Dependency Treebank.. The Prague Bulletin of Mathematical Linguistics. 81. 5–22.20 indexed citations
5.
Sgall, Petr, Jarmila Panevová, & Eva Hajičová. (2004). Deep Syntactic Annotation: Tectogrammatical Representation and Beyond. North American Chapter of the Association for Computational Linguistics. 32–38.11 indexed citations
6.
Sgall, Petr. (2002). A Machine Learning Approach to Automatic Functor Assignment in the Prague Dependency Treebank. Language Resources and Evaluation.9 indexed citations
7.
Hajičová, Eva, Jarmila Panevová, & Petr Sgall. (2000). Coreference in Annotating a Large Corpus.. Language Resources and Evaluation.3 indexed citations
8.
Hajičová, Eva & Petr Sgall. (2000). Semantico-syntactic Tagging of Very Large Corpora: the Case of Restoration of Nodes on the Underlying Level. Language Resources and Evaluation.1 indexed citations
9.
Hajičová, Eva & Petr Sgall. (1999). Quantifiers and focus in an underspecified deep structure.. The Prague Bulletin of Mathematical Linguistics. 72. 5–10.2 indexed citations
10.
Hajičová, Eva, Jarmila Panevová, & Petr Sgall. (1998). Language resources need annotations to make them really reusable: the Prague dependency tree bank.. Language Resources and Evaluation. 713–718.7 indexed citations
Hajičová, Eva, et al.. (1995). Discourse modelling based on hierarchy of salience. The Prague Bulletin of Mathematical Linguistics.5 indexed citations
13.
Hajičová, Eva, et al.. (1995). An automatic procedure for topic-focus identification. Computational Linguistics. 21(1). 81–94.23 indexed citations
Panevová, Jarmila, et al.. (1971). Čas a modalita v češtině..7 indexed citations
20.
Sgall, Petr & Československá akademie věd. (1967). Generativní popis jazyka a česká deklinace.30 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.