Mihaela Cocea

2.4k total citations
75 papers, 1.2k citations indexed

About

Mihaela Cocea is a scholar working on Artificial Intelligence, Information Systems and Computational Theory and Mathematics. According to data from OpenAlex, Mihaela Cocea has authored 75 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Artificial Intelligence, 35 papers in Information Systems and 16 papers in Computational Theory and Mathematics. Recurrent topics in Mihaela Cocea's work include Data Mining Algorithms and Applications (16 papers), Intelligent Tutoring Systems and Adaptive Learning (16 papers) and Rough Sets and Fuzzy Logic (15 papers). Mihaela Cocea is often cited by papers focused on Data Mining Algorithms and Applications (16 papers), Intelligent Tutoring Systems and Adaptive Learning (16 papers) and Rough Sets and Fuzzy Logic (15 papers). Mihaela Cocea collaborates with scholars based in United Kingdom, Ireland and China. Mihaela Cocea's co-authors include Han Liu, Stephan Weibelzahl, Alexander Gegov, Mohamed Bader–El–Den, Sanaz Fallahkhair, Nabeela Altrabsheh, George D. Magoulas, Weili Ding, Christopher Jefferson and Han Liu and has published in prestigious journals such as Expert Systems with Applications, Information Sciences and Applied Soft Computing.

In The Last Decade

Mihaela Cocea

72 papers receiving 1.1k citations

Peers

Mihaela Cocea

CSA

CTM

CVPR

Ioannis Hatzilygeroudis Greece

Norisma Idris Malaysia

Andreas Konstantinidis Cyprus

George F. Luger United States

José-Luís Pérez-de-la-Cruz Spain

Jan Vahrenhold Germany

Rubén Heradio Spain

Jimmy H. M. Lee Hong Kong

Xia Sun China

Boyang Li China

Ioannis Hatzilygeroudis Greece

Mihaela Cocea

872 ×1.3

343 ×1.1

250 ×1.2

CSA

70 ×0.4

CTM

168 ×1.2

CVPR

Citations per year, relative to Mihaela Cocea Mihaela Cocea (= 1×) peers Ioannis Hatzilygeroudis

Countries citing papers authored by Mihaela Cocea

Since Specialization

Citations

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

Fields of papers citing papers by Mihaela Cocea

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mihaela Cocea

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

All Works

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20 of 20 papers shown

Fallahkhair, Sanaz, et al.. (2019). Developing recommendations for designing smart and ubiquitous learning environments to be used at outdoors cultural heritage. Interaction design & architecture(s). 39(39). 7–43. 2 indexed citations

Bader–El–Den, Mohamed, et al.. (2019). Towards Context-Aware Syntax Parsing and Tagging. DROPS (Schloss Dagstuhl – Leibniz Center for Informatics). 1 indexed citations

Bader–El–Den, Mohamed, et al.. (2019). A customised grammar framework for query classification. Expert Systems with Applications. 135. 164–180. 6 indexed citations

Bader–El–Den, Mohamed, et al.. (2018). A data mining framework for analyzing students’ feedback of assessment. 13. 5 indexed citations

Liu, Han, et al.. (2018). Suiciderelated Text Classification With Prism Algorithm. ORCA Online Research @Cardiff (Cardiff University). 575–580. 8 indexed citations

Bader–El–Den, Mohamed, et al.. (2018). Improving Imbalanced Question Classification Using Structured Smote Based Approach. ORCA Online Research @Cardiff (Cardiff University). 593–597. 7 indexed citations

Liu, Han & Mihaela Cocea. (2018). Induction of classification rules by Gini-index based rule generation. Information Sciences. 436-437. 227–246. 25 indexed citations

Bader–El–Den, Mohamed, et al.. (2018). Question categorization and classification using grammar based approach. Information Processing & Management. 54(6). 1228–1243. 48 indexed citations

Liu, Han, Mihaela Cocea, & Weili Ding. (2018). J-Measure Based Pruning for Advancing Classification Performance of Information Entropy Based Rule Generation. ORCA Online Research @Cardiff (Cardiff University). 7414. 485–490.

10.

Liu, Han, Shyi‐Ming Chen, & Mihaela Cocea. (2018). Subclass-based semi-random data partitioning for improving sample representativeness. Information Sciences. 478. 208–221. 9 indexed citations

11.

Liu, Han, Alexander Gegov, & Mihaela Cocea. (2016). Rule-based systems: a granular computing perspective. Granular Computing. 1(4). 259–274. 100 indexed citations

12.

Fallahkhair, Sanaz, et al.. (2015). Towards gathering initial requirements of developing a mobile service to support informal learning at cultural heritage sites. University of Brighton Repository (University of Brighton). 0–0. 3 indexed citations

13.

Altrabsheh, Nabeela, Mihaela Cocea, & Sanaz Fallahkhair. (2015). Predicting Learning-Related Emotions from Students' Textual Classroom Feedback via Twitter.. Educational Data Mining. 436–440. 10 indexed citations

14.

Cocea, Mihaela, et al.. (2015). Exploiting Vector Map Properties for GIS Data Copyright Protection. Portsmouth Research Portal (University of Portsmouth). 575–582. 7 indexed citations

15.

Cocea, Mihaela & George D. Magoulas. (2012). Learning Task-Related Strategies from User Data through Clustering. 376. 400–404. 1 indexed citations

16.

Mavrikis, Manolis, et al.. (2011). Modelling affect by mining students' interactions within learning environments. Educational Data Mining. 231–244. 1 indexed citations

17.

Cocea, Mihaela & George D. Magoulas. (2009). Task-oriented modeling of learner behaviour in exploratory learning for mathematical generalisation. 16–24. 4 indexed citations

18.

Cocea, Mihaela & George D. Magoulas. (2008). Combining intelligent methods for learner modelling in exploratory learning environments. European Conference on Artificial Intelligence. 13–18. 2 indexed citations

19.

Cocea, Mihaela, Sergio Gutiérrez-Santos, & George D. Magoulas. (2008). Challenges for intelligent support in exploratory learning: the case of ShapeBuilder. 6 indexed citations

20.

Cocea, Mihaela & Stephan Weibelzahl. (2006). Can log files analysis estimate learners' level of motivation?. TRAP@NCI (National College of Ireland). 32–35. 44 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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