Miloš Stanojević

686 total citations
30 papers, 342 citations indexed

About

Miloš Stanojević is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Information Systems. According to data from OpenAlex, Miloš Stanojević has authored 30 papers receiving a total of 342 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 4 papers in Cognitive Neuroscience and 2 papers in Information Systems. Recurrent topics in Miloš Stanojević's work include Natural Language Processing Techniques (27 papers), Topic Modeling (25 papers) and Text Readability and Simplification (9 papers). Miloš Stanojević is often cited by papers focused on Natural Language Processing Techniques (27 papers), Topic Modeling (25 papers) and Text Readability and Simplification (9 papers). Miloš Stanojević collaborates with scholars based in Netherlands, United Kingdom and Czechia. Miloš Stanojević's co-authors include Khalil Sima’an, Ondřej Bojar, Amir Kamran, Mark Steedman, Yvette Graham, Philipp Koehn, John Hale, Jonathan Brennan, Edward P. Stabler and Chris Dyer and has published in prestigious journals such as SHILAP Revista de lepidopterología, Cognitive Science and Computational Linguistics.

In The Last Decade

Miloš Stanojević

28 papers receiving 307 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Miloš Stanojević Netherlands 10 314 56 33 30 17 30 342
Adhiguna Kuncoro United Kingdom 8 253 0.8× 54 1.0× 43 1.3× 18 0.6× 11 0.6× 11 293
Lane Schwartz United States 11 430 1.4× 49 0.9× 17 0.5× 20 0.7× 25 1.5× 39 454
Diptesh Kanojia India 10 208 0.7× 43 0.8× 14 0.4× 25 0.8× 8 0.5× 50 246
Denis Paperno Italy 10 264 0.8× 55 1.0× 12 0.4× 11 0.4× 36 2.1× 30 322
Jon Gauthier United States 7 231 0.7× 61 1.1× 38 1.2× 7 0.2× 7 0.4× 10 267
Aaron Steven White United States 10 224 0.7× 37 0.7× 22 0.7× 22 0.7× 40 2.4× 25 302
Johannes Bjerva Denmark 12 325 1.0× 43 0.8× 7 0.2× 24 0.8× 14 0.8× 46 364
Joakim Nivre United States 3 426 1.4× 32 0.6× 8 0.2× 27 0.9× 23 1.4× 4 450
Péter Halácsy Hungary 9 274 0.9× 21 0.4× 31 0.9× 29 1.0× 55 3.2× 14 347
Verna Dankers Netherlands 9 228 0.7× 52 0.9× 14 0.4× 16 0.5× 11 0.6× 14 270

Countries citing papers authored by Miloš Stanojević

Since Specialization
Citations

This map shows the geographic impact of Miloš Stanojević'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 Miloš Stanojević with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miloš Stanojević more than expected).

Fields of papers citing papers by Miloš Stanojević

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Miloš Stanojević. 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 Miloš Stanojević. The network helps show where Miloš Stanojević may publish in the future.

Co-authorship network of co-authors of Miloš Stanojević

This figure shows the co-authorship network connecting the top 25 collaborators of Miloš Stanojević. A scholar is included among the top collaborators of Miloš Stanojević 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 Miloš Stanojević. Miloš Stanojević 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.
Stanojević, Miloš, et al.. (2023). Modeling Structure‐Building in the Brain With CCG Parsing and Large Language Models. Cognitive Science. 47(7). e13312–e13312. 16 indexed citations
2.
Stanojević, Miloš, et al.. (2023). Neural Correlates of Object-Extracted Relative Clause Processing Across English and Chinese. SHILAP Revista de lepidopterología. 4(3). 455–473. 2 indexed citations
3.
Stanojević, Miloš. (2022). Unbiased and Efficient Sampling of Dependency Trees. 1691–1706.
4.
Barrett, Samuel, et al.. (2022). Transformer Grammars: Augmenting Transformer Language Models with Syntactic Inductive Biases at Scale. Transactions of the Association for Computational Linguistics. 10. 1423–1439. 12 indexed citations
5.
Stanojević, Miloš & Shay B. Cohen. (2021). A Root of a Problem: Optimizing Single-Root Dependency Parsing. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 10540–10557. 2 indexed citations
6.
Stanojević, Miloš, et al.. (2021). Modeling Incremental Language Comprehension in the Brain with Combinatory Categorial Grammar. Edinburgh Research Explorer. 23–38. 9 indexed citations
7.
Stanojević, Miloš & Mark Steedman. (2021). Formal Basis of a Language Universal. Computational Linguistics. 47(1). 9–42. 3 indexed citations
8.
Stanojević, Miloš & Mark Steedman. (2020). Span-Based LCFRS-2 Parsing. 111–121. 8 indexed citations
9.
Stanojević, Miloš & Mark Steedman. (2020). Max-Margin Incremental CCG Parsing. Edinburgh Research Explorer. 4111–4122. 9 indexed citations
10.
Stanojević, Miloš, et al.. (2019). Wide-Coverage Neural A* Parsing for Minimalist Grammars. Edinburgh Research Explorer. 2486–2505. 4 indexed citations
11.
Stanojević, Miloš & Mark Steedman. (2019). . 228–239. 4 indexed citations
12.
Stanojević, Miloš & Edward P. Stabler. (2018). A Sound and Complete Left-Corner Parsing for Minimalist Grammars. Edinburgh Research Explorer (University of Edinburgh). 65–74. 10 indexed citations
13.
Stanojević, Miloš, et al.. (2018). The agricultural products: Market structure in South-East Europe. SHILAP Revista de lepidopterología. 65(3). 943–954. 1 indexed citations
14.
Stanojević, Miloš & Khalil Sima’an. (2017). Alternative Objective Functions for Training MT Evaluation Metrics. UvA-DARE (University of Amsterdam). 20–25. 1 indexed citations
15.
Stanojević, Miloš & Khalil Sima’an. (2016). Hierarchical Permutation Complexity for Word Order Evaluation. International Conference on Computational Linguistics. 2164–2173.
16.
Daiber, Joachim, Miloš Stanojević, & Khalil Sima’an. (2016). Universal Reordering via Linguistic Typology. UvA-DARE (University of Amsterdam). 3167–3176. 4 indexed citations
17.
Daiber, Joachim, Miloš Stanojević, Wilker Aziz, & Khalil Sima’an. (2016). Examining the Relationship between Preordering and Word Order Freedom in Machine Translation. UvA-DARE (University of Amsterdam). 118–130. 3 indexed citations
18.
Stanojević, Miloš, Amir Kamran, Philipp Koehn, & Ondřej Bojar. (2015). Results of the WMT15 Metrics Shared Task. 256–273. 60 indexed citations
19.
Stanojević, Miloš, Amir Kamran, & Ondřej Bojar. (2015). Results of the WMT15 Tuning Shared Task. 274–281. 3 indexed citations
20.
Tamchyna, Aleš, et al.. (2012). Selecting Data for English-to-Czech Machine Translation. Workshop on Statistical Machine Translation. 374–381. 5 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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