Galina Deeva

420 total citations
7 papers, 226 citations indexed

About

Galina Deeva is a scholar working on Artificial Intelligence, Computer Science Applications and Computer Networks and Communications. According to data from OpenAlex, Galina Deeva has authored 7 papers receiving a total of 226 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 4 papers in Computer Science Applications and 2 papers in Computer Networks and Communications. Recurrent topics in Galina Deeva's work include Online Learning and Analytics (4 papers), Data Stream Mining Techniques (3 papers) and Imbalanced Data Classification Techniques (2 papers). Galina Deeva is often cited by papers focused on Online Learning and Analytics (4 papers), Data Stream Mining Techniques (3 papers) and Imbalanced Data Classification Techniques (2 papers). Galina Deeva collaborates with scholars based in Belgium, Chile and Sweden. Galina Deeva's co-authors include Jochen De Weerdt, Monique Snoeck, Estefanía Serral, Johannes De Smedt, Seppe vanden Broucke, Richard W. Weber, María Óskarsdóttir, Anna Sigríður Íslind and Sara Willermark and has published in prestigious journals such as Expert Systems with Applications, Computers & Education and IEEE Transactions on Knowledge and Data Engineering.

In The Last Decade

Galina Deeva

6 papers receiving 217 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Galina Deeva Belgium	5	114	86	63	55	48	7	226
Sucheta V. Kolekar India	7	172 1.5×	95 1.1×	61 1.0×	113 2.1×	103 2.1×	25	311
Nisha S. Raj India	7	140 1.2×	95 1.1×	32 0.5×	61 1.1×	94 2.0×	16	238
Sébastien Combéfis Belgium	9	139 1.2×	36 0.4×	39 0.6×	63 1.1×	74 1.5×	28	248
Márcia A. Fernandes Brazil	9	161 1.4×	125 1.5×	54 0.9×	110 2.0×	81 1.7×	50	300
Dragan Gašević Australia	8	128 1.1×	105 1.2×	34 0.5×	63 1.1×	53 1.1×	15	276
Ana Arruarte Spain	8	77 0.7×	102 1.2×	55 0.9×	57 1.0×	61 1.3×	54	228
Matthew Montebello Malta	8	54 0.5×	62 0.7×	40 0.6×	35 0.6×	75 1.6×	58	200
Ranilson Paiva Brazil	7	107 0.9×	66 0.8×	35 0.6×	88 1.6×	50 1.0×	29	191
Gh. A. Montazer Iran	5	86 0.8×	111 1.3×	82 1.3×	33 0.6×	69 1.4×	14	274
Rodrigo Duran Finland	11	238 2.1×	59 0.7×	28 0.4×	70 1.3×	125 2.6×	27	316

Countries citing papers authored by Galina Deeva

Since Specialization

Citations

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

Fields of papers citing papers by Galina Deeva

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Galina Deeva

This figure shows the co-authorship network connecting the top 25 collaborators of Galina Deeva. A scholar is included among the top collaborators of Galina Deeva 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 Galina Deeva. Galina Deeva is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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7 of 7 papers shown

1.

Deeva, Galina, et al.. (2022). Predicting student performance using sequence classification with time-based windows. Expert Systems with Applications. 209. 118182–118182. 13 indexed citations

2.

Deeva, Galina, Johannes De Smedt, & Jochen De Weerdt. (2022). Educational Sequence Mining for Dropout Prediction in MOOCs: Model Building, Evaluation, and Benchmarking. IEEE Transactions on Learning Technologies. 15(6). 720–735. 10 indexed citations

3.

Willermark, Sara, María Óskarsdóttir, Anna Sigríður Íslind, & Galina Deeva. (2022). Introduction to the Minitrack on Learning Analytics. Proceedings of the ... Annual Hawaii International Conference on System Sciences. 2 indexed citations

4.

Deeva, Galina, Sara Willermark, Anna Sigríður Íslind, & María Óskarsdóttir. (2021). Introduction to the Minitrack on Learning Analytics. Journal of the Association for Information Systems.

5.

Deeva, Galina, et al.. (2020). A review of automated feedback systems for learners: Classification framework, challenges and opportunities. Computers & Education. 162. 104094–104094. 154 indexed citations

6.

Deeva, Galina, et al.. (2020). Predicting student success in a blended learning environment. Lirias (KU Leuven). 17–25. 23 indexed citations

7.

Smedt, Johannes De, Galina Deeva, & Jochen De Weerdt. (2019). Mining Behavioral Sequence Constraints for Classification. IEEE Transactions on Knowledge and Data Engineering. 32(6). 1130–1142. 24 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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