Dymitr Ruta

2.6k total citations
61 papers, 1.6k citations indexed

About

Dymitr Ruta is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Dymitr Ruta has authored 61 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 10 papers in Computer Networks and Communications and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Dymitr Ruta's work include Anomaly Detection Techniques and Applications (11 papers), Time Series Analysis and Forecasting (8 papers) and Neural Networks and Applications (8 papers). Dymitr Ruta is often cited by papers focused on Anomaly Detection Techniques and Applications (11 papers), Time Series Analysis and Forecasting (8 papers) and Neural Networks and Applications (8 papers). Dymitr Ruta collaborates with scholars based in United Arab Emirates, United Kingdom and United States. Dymitr Ruta's co-authors include Bogdan Gabryś, Ling Cen, Ashutosh Tiwari, Rajkumar Roy, Jason Ng, Quang Hieu Vu, Leigh Powell, Benjamin Hirsch, A. F. Isakovic and Fabrice Saffre and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Dymitr Ruta

59 papers receiving 1.5k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Dymitr Ruta 656 324 248 244 148 61 1.6k
Feras Al‐Obeidat 526 0.8× 117 0.4× 169 0.7× 326 1.3× 133 0.9× 98 1.3k
Asad Masood Khattak 684 1.0× 250 0.8× 123 0.5× 478 2.0× 95 0.6× 112 1.6k
Sajid Anwar 747 1.1× 494 1.5× 484 2.0× 422 1.7× 263 1.8× 62 2.0k
A.C.M. Fong 891 1.4× 214 0.7× 83 0.3× 640 2.6× 228 1.5× 164 2.0k
Tahar Kechadi 674 1.0× 421 1.3× 379 1.5× 928 3.8× 517 3.5× 226 2.5k
Sungzoon Cho 1.0k 1.5× 465 1.4× 95 0.4× 479 2.0× 376 2.5× 129 2.6k
Yong Ge 643 1.0× 304 0.9× 114 0.5× 541 2.2× 186 1.3× 63 1.6k
Carlos Soares 1.6k 2.4× 260 0.8× 69 0.3× 368 1.5× 200 1.4× 126 2.9k
Yan Fu 451 0.7× 91 0.3× 71 0.3× 262 1.1× 72 0.5× 129 1.3k
Qing Liu 683 1.0× 263 0.8× 120 0.5× 414 1.7× 100 0.7× 128 2.5k

Countries citing papers authored by Dymitr Ruta

Since Specialization
Citations

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

Fields of papers citing papers by Dymitr Ruta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dymitr Ruta

This figure shows the co-authorship network connecting the top 25 collaborators of Dymitr Ruta. A scholar is included among the top collaborators of Dymitr Ruta 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 Dymitr Ruta. Dymitr Ruta 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.
Liu, Ming, Ling Cen, Dymitr Ruta, & Quang Hieu Vu. (2024). Exploring Stability and Performance of hybrid Gradient Boosting Classification and Regression Models in Sectors Stock Trend Prediction: A Tale of Preliminary Success and Final Challenge. SHILAP Revista de lepidopterología. 39. 761–766. 2 indexed citations
2.
3.
Ruta, Dymitr, et al.. (2023). Iterative Deep Learning for Muon Scattering Tomography. 6076–6083. 1 indexed citations
4.
5.
Ruta, Dymitr, Ming Liu, & Ling Cen. (2023). Beating Gradient Boosting: Target-Guided Binning for Massively Scalable Classification in Real-Time. SHILAP Revista de lepidopterología. 35. 1301–1306. 2 indexed citations
6.
Liu, Ming, Ling Cen, & Dymitr Ruta. (2023). Gradient boosting models for cybersecurity threat detection with aggregated time series features. SHILAP Revista de lepidopterología. 35. 1311–1315. 4 indexed citations
7.
Ruta, Dymitr, Ming Liu, Ling Cen, & Di Wang. (2023). Feature Engineering for Predicting Frags in Tactical Games. 28–33. 4 indexed citations
8.
Vu, Quang Hieu, Dymitr Ruta, Ling Cen, & Ming Liu. (2021). A combination of general and specific models to predict victories in video games. 2021 IEEE International Conference on Big Data (Big Data). 5683–5690. 10 indexed citations
9.
Ruta, Dymitr, et al.. (2020). Coverage and Energy Analysis of Mobile Sensor Nodes in Obstructed Noisy Indoor Environment: A Voronoi-Approach. IEEE Transactions on Mobile Computing. 1–1. 17 indexed citations
10.
Alsafar, Habiba, Mariam Al‐Ali, Mustafa Al‐Maini, et al.. (2019). Introducing the first whole genomes of nationals from the United Arab Emirates. Scientific Reports. 9(1). 14725–14725. 13 indexed citations
11.
Cen, Ling, Andrzej Ruta, Dymitr Ruta, & Quang Hieu Vu. (2018). Regression Networks for Robust Win-rates Predictions of AI Gaming Bots. SHILAP Revista de lepidopterología. 15. 181–184. 7 indexed citations
12.
Ruta, Dymitr, et al.. (2018). Voronoi-Based Indoor Deployment of Mobile Sensors Network with Obstacles. 20–21. 10 indexed citations
13.
Cen, Ling, Dymitr Ruta, Leigh Powell, Benjamin Hirsch, & Jason Ng. (2016). Quantitative approach to collaborative learning: performance prediction, individual assessment, and group composition. International Journal of Computer-Supported Collaborative Learning. 11(2). 187–225. 82 indexed citations
14.
Wang, Di, et al.. (2016). Event identification and assertion from social media using auto-extendable knowledge base. 4443–4450. 7 indexed citations
15.
Ruta, Dymitr, et al.. (2015). Solar powered air cooling for idle parked cars: Architecture and implementation. 239–243. 6 indexed citations
16.
Ruta, Dymitr. (2014). Automated Trading with Machine Learning on Big Data. 824–830. 11 indexed citations
17.
Ruta, Dymitr & Basim Majeed. (2011). Business process forecasting in telecom industry. 389–392. 4 indexed citations
18.
Ruta, Dymitr, Przemysław Kazienko, & Piotr Bródka. (2009). Network-Aware Customer Value in Telecommunication Social Networks.. International Conference on Artificial Intelligence. 261–267. 1 indexed citations
19.
Ruta, Dymitr & Bogdan Gabryś. (2007). A framework for machine learning based on dynamic physical fields. Natural Computing. 8(2). 219–237. 7 indexed citations
20.
Tiwari, Ashutosh, et al.. (2005). Computer assisted customer churn management: State-of-the-art and future trends. Computers & Operations Research. 34(10). 2902–2917. 219 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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