Erol-Valeriu Chioasca

415 total citations · 1 hit paper
8 papers, 222 citations indexed

About

Erol-Valeriu Chioasca is a scholar working on Information Systems, Management Information Systems and Artificial Intelligence. According to data from OpenAlex, Erol-Valeriu Chioasca has authored 8 papers receiving a total of 222 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Information Systems, 3 papers in Management Information Systems and 2 papers in Artificial Intelligence. Recurrent topics in Erol-Valeriu Chioasca's work include Service-Oriented Architecture and Web Services (6 papers), Software Engineering Techniques and Practices (4 papers) and Software Engineering Research (4 papers). Erol-Valeriu Chioasca is often cited by papers focused on Service-Oriented Architecture and Web Services (6 papers), Software Engineering Techniques and Practices (4 papers) and Software Engineering Research (4 papers). Erol-Valeriu Chioasca collaborates with scholars based in United Kingdom, Italy and United Arab Emirates. Erol-Valeriu Chioasca's co-authors include Keletso J. Letsholo, Liping Zhao, Riza Batista-Navarro, Waad Alhoshan, Alessio Ferrari, Pedro Sampaio and Sandra Sampaio and has published in prestigious journals such as ACM Computing Surveys, Research Explorer (The University of Manchester) and International Conference on Software Engineering.

In The Last Decade

Erol-Valeriu Chioasca

8 papers receiving 215 citations

Hit Papers

Natural Language Processi... 2021 2026 2022 2024 2021 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Erol-Valeriu Chioasca United Kingdom 6 161 95 63 38 20 8 222
Keletso J. Letsholo United Kingdom 7 164 1.0× 100 1.1× 59 0.9× 37 1.0× 26 1.3× 12 245
Waad Alhoshan United Kingdom 6 166 1.0× 108 1.1× 54 0.9× 23 0.6× 25 1.3× 8 239
Jim Arlow United Kingdom 7 123 0.8× 90 0.9× 56 0.9× 47 1.2× 34 1.7× 10 202
Cristina Gómez Spain 8 130 0.8× 94 1.0× 97 1.5× 33 0.9× 40 2.0× 34 190
Giorgio Oronzo Spagnolo Italy 7 175 1.1× 116 1.2× 54 0.9× 49 1.3× 28 1.4× 18 255
José Á. Carsí Spain 9 186 1.2× 138 1.5× 106 1.7× 35 0.9× 52 2.6× 37 252
Carles Farré Spain 10 116 0.7× 74 0.8× 51 0.8× 29 0.8× 56 2.8× 25 195
Valentino Vranić Slovakia 8 142 0.9× 123 1.3× 47 0.7× 15 0.4× 34 1.7× 62 210
Viviane Torres da Silva Brazil 10 120 0.7× 184 1.9× 63 1.0× 82 2.2× 49 2.5× 41 246
Karina Villela Germany 7 135 0.8× 129 1.4× 42 0.7× 20 0.5× 41 2.0× 28 205

Countries citing papers authored by Erol-Valeriu Chioasca

Since Specialization
Citations

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

Fields of papers citing papers by Erol-Valeriu Chioasca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Erol-Valeriu Chioasca. 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 Erol-Valeriu Chioasca. The network helps show where Erol-Valeriu Chioasca may publish in the future.

Co-authorship network of co-authors of Erol-Valeriu Chioasca

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

All Works

8 of 8 papers shown
1.
Zhao, Liping, Waad Alhoshan, Alessio Ferrari, et al.. (2021). Natural Language Processing for Requirements Engineering. ACM Computing Surveys. 54(3). 1–41. 163 indexed citations breakdown →
2.
Zhao, Liping, Waad Alhoshan, Alessio Ferrari, et al.. (2020). Natural Language Processing (NLP) for Requirements Engineering (RE): A Systematic Mapping Study. 16 indexed citations
3.
Letsholo, Keletso J., Erol-Valeriu Chioasca, & Liping Zhao. (2014). AN INTEGRATIVE APPROACH TO SUPPORT MULTI-PERSPECTIVE BUSINESS PROCESS MODELING. 2(1). 11–24. 6 indexed citations
4.
Letsholo, Keletso J., Liping Zhao, & Erol-Valeriu Chioasca. (2013). TRAM: A tool for transforming textual requirements into analysis models. Research Explorer (The University of Manchester). 738–741. 13 indexed citations
5.
Chioasca, Erol-Valeriu. (2012). Using machine learning to enhance automated requirements model transformation. International Conference on Software Engineering. 1487–1490. 5 indexed citations
6.
Letsholo, Keletso J., Erol-Valeriu Chioasca, & Liping Zhao. (2012). An Integration Framework for Multi-perspective Business Process Modeling. Research Explorer (The University of Manchester). 4102. 33–40. 7 indexed citations
7.
Chioasca, Erol-Valeriu. (2012). Using machine learning to enhance automated requirements model transformation. 48. 1487–1490. 7 indexed citations
8.
Zhao, Liping, Keletso J. Letsholo, Erol-Valeriu Chioasca, Sandra Sampaio, & Pedro Sampaio. (2012). Can business process modeling bridge the gap between business and information systems?. Research Explorer (The University of Manchester). 1723–1724. 5 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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