| 2019 | AIST | A Deep Learning Method Study of User Interest Classification. | Alexey Malafeev, Kirill Nikolaev |
| 2018 | AIST | Russian Q&A Method Study: From Naive Bayes to Convolutional Neural Networks. | Kirill Nikolaev, Alexey Malafeev |
| 2018 | SODA | Minimum Cut of Directed Planar Graphs in | Shay Mozes, Kirill Nikolaev, Yahav Nussbaum, Oren Weimann |
| 2017 | AIST | Russian-Language Question Classification: A New Typology and First Results. | Kirill Nikolaev, Alexey Malafeev |
| 2015 | KDD | Extreme States Distribution Decomposition Method for Search Engine Online Evaluation. | Kirill Nikolaev, Alexey Drutsa, Ekaterina Gladkikh, Alexander Ulianov, Gleb Gusev, Pavel Serdyukov |
| 2014 | WWW | Localized CAPTCHA testing on users and farms. | Ekaterina Gladkikh, Kirill Nikolaev, Mikhail Nikitin |
| 2013 | WWW | Quality-biased ranking for queries with commercial intent. | Alexander Shishkin, Polina Zhinalieva, Kirill Nikolaev |
| 2009 | WWW | Combining anchor text categorization and graph analysis for paid link detection. | Kirill Nikolaev, Ekaterina Zudina, Andrey Gorshkov |