Jan Šnajder

2.1k total citations
110 papers, 1.2k citations indexed

About

Jan Šnajder is a scholar working on Artificial Intelligence, Information Systems and Social Psychology. According to data from OpenAlex, Jan Šnajder has authored 110 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 98 papers in Artificial Intelligence, 10 papers in Information Systems and 8 papers in Social Psychology. Recurrent topics in Jan Šnajder's work include Topic Modeling (75 papers), Natural Language Processing Techniques (67 papers) and Advanced Text Analysis Techniques (22 papers). Jan Šnajder is often cited by papers focused on Topic Modeling (75 papers), Natural Language Processing Techniques (67 papers) and Advanced Text Analysis Techniques (22 papers). Jan Šnajder collaborates with scholars based in Croatia, Germany and Czechia. Jan Šnajder's co-authors include Goran Glavašš, Mladen Karan, Bojana Dalbelo Bašić, Sebastian Padó, Ivan Sekulić, Saša Petrović, Marko Tadić, Marie‐Francine Moens, Parisa Kordjamshidi and Roman Yangarber and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.

In The Last Decade

Jan Šnajder

101 papers receiving 1.1k citations

Peers

Jan Šnajder
Aqil M. Azmi Saudi Arabia
Yulia Tsvetkov United States
Patrick Juola United States
Eduardo Blanco United States
Nithum Thain United States
Tomek Strzalkowski United States
Sara Rosenthal United States
Swapna Somasundaran United States
Viet-An Nguyen United States
Aqil M. Azmi Saudi Arabia
Jan Šnajder
Citations per year, relative to Jan Šnajder Jan Šnajder (= 1×) peers Aqil M. Azmi

Countries citing papers authored by Jan Šnajder

Since Specialization
Citations

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).

Fields of papers citing papers by Jan Šnajder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

All Works

20 of 20 papers shown
4.
Šnajder, Jan, et al.. (2022). An empirical study of the design choices for local citation recommendation systems. Expert Systems with Applications. 200. 116852–116852. 3 indexed citations
5.
Šnajder, Jan, et al.. (2019). Evaluating Automatic Term Extraction Methods on Individual Documents. 149–154. 13 indexed citations
6.
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.
Glavašš, 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.
Glavašš, 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.
Glavašš, 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.

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