Adaptive Scientific Visualization System for Desktop Computers and Mobile Devices. - Konstantin Ryabinin; Svetlana Chuprina (ICCS, 2013)

Development of Multiplatform Adaptive Rendering Tools to Visualize Scientific Experiments. - Konstantin Ryabinin; Svetlana Chuprina (ICCS, 2014)

Using Scientific Visualization Tools to Bridge the Talent Gap. - Konstantin Ryabinin; Svetlana Chuprina (ICCS, 2015)

Development of ontology-based multiplatform adaptive scientific visualization system. - Konstantin Ryabinin; Svetlana Chuprina (J. Comput. Sci., 2015)

A unified approach to adapt scientific visualization systems to third-party solvers. - K. V. Ryabinin; S. I. Chuprina (Program. Comput. Softw., 2016)

High-Level Toolset For Comprehensive Visual Data Analysis and Model Validation. - Konstantin Ryabinin; Svetlana Chuprina (ICCS, 2017)

Calibration and Monitoring of IoT Devices by Means of Embedded Scientific Visualization Tools. - Konstantin Ryabinin; Svetlana Chuprina; Mariia Kolesnik (ICCS (2), 2018)

Using Scientific Visualization Systems to Automate Monitoring of Data Generated by Lightweight Programmable Electronic Devices. - K. V. Ryabinin; S. I. Chuprina (Program. Comput. Softw., 2018)

Ontology-Driven Automation of IoT-Based Human-Machine Interfaces Development. - Konstantin Ryabinin; Svetlana Chuprina; Konstantin Belousov (ICCS (5), 2019)

Adaptive Scientific Visualization Tools for a Smart Paleontological Museum. - K. V. Ryabinin; Mariia Kolesnik (Program. Comput. Softw., 2019)

Ontology-Driven Edge Computing. - Konstantin Ryabinin; Svetlana Chuprina (ICCS (7), 2020)

Ontology-Driven Data Mining Platform for Fuzzy Classification of Mental Maps. - Konstantin Ryabinin; Konstantin Belousov; Roman Chumakov (FSDM, 2021)

Automated Creation of Cyber-Physical Museum Exhibits Using a Scientific Visualization System on a Chip. - K. V. Ryabinin; Mariia Kolesnik (Program. Comput. Softw., 2021)

Ontology-Driven Visual Analytics Platform for Semantic Data Mining and Fuzzy Classification. - Konstantin Ryabinin; Roman Chumakov; Konstantin Belousov; Mariia Kolesnik (FSDM, 2022)

Towards Mitigating the Eye Gaze Tracking Uncertainty in Virtual Reality. - Konstantin Ryabinin; Svetlana Chuprina (ICCS (4), 2022)

Ontology-Driven Visual Analytics Software Development. - S. I. Chuprina; K. V. Ryabinin; Dmitrij V. Koznov; Konstantin A. Matkin (Program. Comput. Softw., 2022)

Eye Tracking Data Mining Based on Fuzzy Sets of Fixations. - Konstantin Ryabinin; Elena Erofeeva; Kira Guseva (FSDM, 2023)

Semantic Hashing to Remedy Uncertainties in Ontology-Driven Edge Computing. - Konstantin Ryabinin; Svetlana Chuprina (ICCS (5), 2023)

Satellite Telescope Self-Calibration Through Precise Stellar Data Mining. - Konstantin Ryabinin; Gerasimos Sarras; Wolfgang Löffler; Olga Erokhina; Michael Biermann (FSDM, 2024)

Direct Solver Aiming at Elimination of Systematic Errors in 3D Stellar Positions. - Konstantin Ryabinin; Gerasimos Sarras; Wolfgang Löffler; Michael Biermann (ICCS (7), 2024)

Making Astrometric Solver Tractable Through In-Situ Visual Analytics. - Konstantin Ryabinin; Wolfgang Löffler; Olga Erokhina; Gerasimos Sarras; Michael Biermann (ICCS (Workshops 6), 2025)

AJAS: A high performance direct solver for advancing high precision astrometry. - Konstantin Ryabinin; Gerasimos Sarras; Wolfgang Löffler; Olga Erokhina; Michael Biermann (J. Comput. Sci., 2025)