This map shows the geographic impact of Jan Šnajder'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 Jan Šnajder with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Šnajder more than expected).
This network shows the impact of papers produced by Jan Šnajder. 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 Jan Šnajder. The network helps show where Jan Šnajder may publish in the future.
Co-authorship network of co-authors of Jan Šnajder
This figure shows the co-authorship network connecting the top 25 collaborators of Jan Šnajder.
A scholar is included among the top collaborators of Jan Šnajder 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 Jan Šnajder. Jan Šnajder is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Karan, Mladen, et al.. (2018). Combining Shallow and Deep Learning for Aggressive Text Detection. International Conference on Computational Linguistics. 188–198.11 indexed citations
7.
Šnajder, Jan, et al.. (2017). Using Analytic Scoring Rubrics in the Automatic Assessment of College-Level Summary Writing Tasks in L2. International Joint Conference on Natural Language Processing. 2. 181–186.5 indexed citations
8.
Šnajder, Jan, et al.. (2016). Graph-Based Induction of Word Senses in Croatian. Language Resources and Evaluation. 3014–3018.
9.
Šnajder, Jan, et al.. (2016). Cro36WSD: A Lexical Sample for Croatian Word Sense Disambiguation. Language Resources and Evaluation. 1689–1694.3 indexed citations
10.
Padó, Sebastian, et al.. (2016). Predictability of Distributional Semantics in Derivational Word Formation. Institutional Research Information System (Università degli Studi di Trento). 1285–1296.9 indexed citations
11.
Padó, Sebastian, et al.. (2014). Towards Semantic Validation of a Derivational Lexicon. International Conference on Computational Linguistics. 1728–1739.5 indexed citations
12.
Glavaš, Goran, Jan Šnajder, Marie‐Francine Moens, & Parisa Kordjamshidi. (2014). HiEve: A Corpus for Extracting Event Hierarchies from News Stories. Language Resources and Evaluation. 3678–3683.30 indexed citations
13.
Šnajder, Jan. (2014). DerivBase.hr: A High-Coverage Derivational Morphology Resource for Croatian. Language Resources and Evaluation. 3371–3377.10 indexed citations
14.
Šnajder, Jan, Sebastian Padó, & Żeljko Agić. (2013). Building and Evaluating a Distributional Memory for Croatian. Meeting of the Association for Computational Linguistics. 784–789.13 indexed citations
15.
Glavaš, Goran & Jan Šnajder. (2013). Recognizing Identical Events with Graph Kernels. MADOC (University of Mannheim). 797–803.11 indexed citations
16.
Karan, Mladen, et al.. (2013). Frequently Asked Questions Retrieval for Croatian Based on Semantic Textual Similarity. Meeting of the Association for Computational Linguistics. 24–33.5 indexed citations
17.
Glavaš, Goran, et al.. (2013). Aspect-Oriented Opinion Mining from User Reviews in Croatian. MADOC (University of Mannheim). 18–23.6 indexed citations
18.
Šnajder, Jan, et al.. (2013). GPKEX: Genetically Programmed Keyphrase Extraction from Croatian Texts. Meeting of the Association for Computational Linguistics. 43–47.3 indexed citations
19.
Karan, Mladen, Jan Šnajder, & Bojana Dalbelo Bašić. (2012). Evaluation of Classification Algorithms and Features for Collocation Extraction in Croatian. Language Resources and Evaluation. 657–662.7 indexed citations
20.
Šnajder, Jan & Bojana Dalbelo Bašić. (2009). String Distance-Based Stemming of the Highly Inflected Croatian Language. Recent Advances in Natural Language Processing. 411–415.6 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.