Aliaksei Severyn

4.8k total citations · 2 hit papers
30 papers, 1.9k citations indexed

About

Aliaksei Severyn is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Aliaksei Severyn has authored 30 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Artificial Intelligence, 5 papers in Information Systems and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Aliaksei Severyn's work include Topic Modeling (28 papers), Natural Language Processing Techniques (22 papers) and Advanced Text Analysis Techniques (8 papers). Aliaksei Severyn is often cited by papers focused on Topic Modeling (28 papers), Natural Language Processing Techniques (22 papers) and Advanced Text Analysis Techniques (8 papers). Aliaksei Severyn collaborates with scholars based in Italy, United States and Qatar. Aliaksei Severyn's co-authors include Alessandro Moschitti, Erhardt Barth, Stanislau Semeniuta, Hamed Zamani, W. Bruce Croft, Eric Malmi, Jaap Kamps, Mostafa Dehghani, Barbara Plank and Olga Uryupina and has published in prestigious journals such as SHILAP Revista de lepidopterología, Information Processing & Management and Data Mining and Knowledge Discovery.

In The Last Decade

Aliaksei Severyn

29 papers receiving 1.8k citations

Hit Papers

Learning to Rank Short Text Pairs with Convolutional Deep... 2015 2026 2018 2022 2015 2015 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Learning to Rank Short Text Pairs with Convolutional Deep Neural Networks
    2015 431 citations Aliaksei Severyn, Alessandro Moschitti Institutional Research Information System (Università degli Studi di Trento) profile →
  2. Twitter Sentiment Analysis with Deep Convolutional Neural Networks
    2015 409 citations Aliaksei Severyn, Alessandro Moschitti Institutional Research Information System (Università degli Studi di Trento) profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aliaksei Severyn Italy 18 1.7k 509 289 107 80 30 1.9k
Mark Carman Australia 19 1.1k 0.6× 537 1.1× 251 0.9× 99 0.9× 119 1.5× 79 1.6k
Cícero dos Santos Brazil 9 1.8k 1.1× 343 0.7× 211 0.7× 67 0.6× 49 0.6× 11 1.9k
Narjes Nikzad-Khasmakhi Iran 9 823 0.5× 275 0.5× 175 0.6× 116 1.1× 68 0.8× 11 1.3k
Ahmed Hassan Awadallah United States 22 1.0k 0.6× 463 0.9× 237 0.8× 115 1.1× 74 0.9× 77 1.5k
Xiaohua Liu China 20 1.7k 1.1× 486 1.0× 290 1.0× 125 1.2× 80 1.0× 89 2.2k
Yelong Shen United States 17 1.4k 0.9× 477 0.9× 532 1.8× 39 0.4× 89 1.1× 50 1.8k
Ting Liu China 20 1.6k 0.9× 256 0.5× 281 1.0× 46 0.4× 47 0.6× 95 2.0k
Vibhu O. Mittal United States 18 1.8k 1.1× 606 1.2× 192 0.7× 74 0.7× 75 0.9× 34 2.0k
Clare R. Voss United States 18 1.2k 0.7× 311 0.6× 145 0.5× 54 0.5× 85 1.1× 76 1.4k
Donghong Ji China 25 2.0k 1.2× 499 1.0× 111 0.4× 216 2.0× 115 1.4× 112 2.3k

Countries citing papers authored by Aliaksei Severyn

Since Specialization
Citations

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

Fields of papers citing papers by Aliaksei Severyn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aliaksei Severyn

This figure shows the co-authorship network connecting the top 25 collaborators of Aliaksei Severyn. A scholar is included among the top collaborators of Aliaksei Severyn 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 Aliaksei Severyn. Aliaksei Severyn 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.
Mallinson, Jonathan, et al.. (2023). Teaching Small Language Models to Reason. 1773–1781. 48 indexed citations
2.
Mallinson, Jonathan, Jakub Adámek, Eric Malmi, & Aliaksei Severyn. (2022). EdiT5: Semi-Autoregressive Text Editing with T5 Warm-Start. 2126–2138. 19 indexed citations
3.
Malmi, Eric, Yue Dong, Jonathan Mallinson, et al.. (2022). Text Generation with Text-Editing Models. 1–7. 17 indexed citations
4.
Ganea, Octavian-Eugen, Sylvain Gelly, Gary Bécigneul, & Aliaksei Severyn. (2019). Breaking the Softmax Bottleneck via Learnable Monotonic Pointwise Non-linearities. arXiv (Cornell University). 2073–2082. 3 indexed citations
5.
Semeniuta, Stanislau, Aliaksei Severyn, & Erhardt Barth. (2017). A Hybrid Convolutional Variational Autoencoder for Text Generation. 627–637. 129 indexed citations
6.
Tymoshenko, Kateryna, et al.. (2017). RelTextRank: An Open Source Framework for Building Relational Syntactic-Semantic Text Pair Representations. Figshare. 79–84. 2 indexed citations
7.
Moschitti, Alessandro, et al.. (2016). Recurrent Context Window Networks for Italian Named Entity Recognizer. SHILAP Revista de lepidopterología. 2(1). 77–86. 1 indexed citations
8.
Severyn, Aliaksei & Alessandro Moschitti. (2015). UNITN: Training Deep Convolutional Neural Network for Twitter Sentiment Classification. 464–469. 136 indexed citations
9.
Severyn, Aliaksei & Alessandro Moschitti. (2015). On the Automatic Learning of Sentiment Lexicons. 1397–1402. 17 indexed citations
10.
Severyn, Aliaksei, Alessandro Moschitti, Olga Uryupina, Barbara Plank, & Katja Filippova. (2015). Multi-lingual opinion mining on YouTube. Information Processing & Management. 52(1). 46–60. 55 indexed citations
11.
Severyn, Aliaksei, et al.. (2015). Distributional Neural Networks for Automatic Resolution of Crossword Puzzles. 8 indexed citations
12.
Uryupina, Olga, et al.. (2014). SenTube: A Corpus for Sentiment Analysis on YouTube Social Media. Language Resources and Evaluation. 4244–4249. 39 indexed citations
13.
Severyn, Aliaksei, et al.. (2014). A syntax-aware re-ranker for microblog retrieval. UvA-DARE (University of Amsterdam). 1067–1070. 14 indexed citations
14.
Severyn, Aliaksei & Alessandro Moschitti. (2013). Automatic Feature Engineering for Answer Selection and Extraction. 458–467. 78 indexed citations
15.
Severyn, Aliaksei, et al.. (2013). iKernels-Core: Tree Kernel Learning for Textual Similarity. Institutional Research Information System (Università degli Studi di Trento). 1. 53–58. 7 indexed citations
16.
Severyn, Aliaksei, et al.. (2013). Learning Adaptable Patterns for Passage Reranking. Institutional Research Information System (Università degli Studi di Trento). 75–83. 30 indexed citations
17.
Severyn, Aliaksei & Alessandro Moschitti. (2013). Fast linearization of tree kernels over large-scale data. Institutional Research Information System (Università degli Studi di Trento). 2162–2168. 2 indexed citations
18.
Severyn, Aliaksei, et al.. (2013). Building structures from classifiers for passage reranking. Institutional Research Information System (Università degli Studi di Trento). 969–978. 27 indexed citations
19.
Severyn, Aliaksei & Alessandro Moschitti. (2012). Structural relationships for large-scale learning of answer re-ranking. Institutional Research Information System (Università degli Studi di Trento). 741–750. 59 indexed citations
20.
Severyn, Aliaksei & Alessandro Moschitti. (2012). Fast support vector machines for convolution tree kernels. Data Mining and Knowledge Discovery. 25(2). 325–357. 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.

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