Béatrix Barafort

563 total citations
10 papers, 194 citations indexed

About

Béatrix Barafort is a scholar working on Management Information Systems, Industrial and Manufacturing Engineering and Information Systems. According to data from OpenAlex, Béatrix Barafort has authored 10 papers receiving a total of 194 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Management Information Systems, 4 papers in Industrial and Manufacturing Engineering and 3 papers in Information Systems. Recurrent topics in Béatrix Barafort's work include Big Data and Business Intelligence (5 papers), Information Technology Governance and Strategy (5 papers) and Digital Transformation in Industry (3 papers). Béatrix Barafort is often cited by papers focused on Big Data and Business Intelligence (5 papers), Information Technology Governance and Strategy (5 papers) and Digital Transformation in Industry (3 papers). Béatrix Barafort collaborates with scholars based in Luxembourg, France and Spain. Béatrix Barafort's co-authors include Antoni‐Lluís Mesquida, Antònia Mas, Wided Guédria, Hervé Panetto, Anup Shrestha, Alain Renault, Miguel Mira da Silva and Pedro Sousa and has published in prestigious journals such as Computers in Industry, Computer Standards & Interfaces and Journal of Industrial Information Integration.

In The Last Decade

Béatrix Barafort

9 papers receiving 189 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Béatrix Barafort Luxembourg	7	72	58	31	29	18	10	194
Anthony Anyanwu United States	11	50 0.7×	96 1.7×	21 0.7×	14 0.5×	9 0.5×	12	307
Paul de Vrieze United Kingdom	7	54 0.8×	63 1.1×	25 0.8×	48 1.7×	11 0.6×	27	159
Sébastien Truptil France	10	85 1.2×	52 0.9×	43 1.4×	36 1.2×	11 0.6×	21	264
Aurélie Montarnal France	9	44 0.6×	27 0.5×	20 0.6×	24 0.8×	10 0.6×	20	178
Chinedu Ezeigweneme United States	12	76 1.1×	28 0.5×	17 0.5×	30 1.0×	6 0.3×	24	285
Nicolas Daclin France	12	95 1.3×	75 1.3×	17 0.5×	48 1.7×	9 0.5×	26	258
Charalampos Apostolopoulos United Kingdom	7	56 0.8×	63 1.1×	14 0.5×	33 1.1×	6 0.3×	9	240
Azmat Ullah Pakistan	9	109 1.5×	86 1.5×	28 0.9×	9 0.3×	9 0.5×	42	298
Siti Aisyah Indonesia	9	55 0.8×	48 0.8×	87 2.8×	39 1.3×	8 0.4×	97	287
Shweta Pandey India	8	28 0.4×	46 0.8×	19 0.6×	29 1.0×	10 0.6×	56	248

Countries citing papers authored by Béatrix Barafort

Since Specialization

Citations

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

Fields of papers citing papers by Béatrix Barafort

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Béatrix Barafort

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

All Works

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10 of 10 papers shown

Guédria, Wided, et al.. (2022). A hybrid deep learning and ontology-driven approach to perform business process capability assessment. Journal of Industrial Information Integration. 30. 100409–100409. 5 indexed citations

Guédria, Wided, et al.. (2021). A framework for assessing capability in organisations using enterprise models. Journal of Industrial Information Integration. 27. 100297–100297. 9 indexed citations

Guédria, Wided, et al.. (2020). Towards a Conceptual Framework for Smart Assessment in Organisations. IFAC-PapersOnLine. 53(2). 10943–10948. 3 indexed citations

Guédria, Wided, et al.. (2020). Towards a Characterisation of Smart Systems: A Systematic Literature Review. Computers in Industry. 120. 103224–103224. 65 indexed citations

Barafort, Béatrix, Antoni‐Lluís Mesquida, & Antònia Mas. (2018). Integrated risk management process assessment model for IT organizations based on ISO 31000 in an ISO multi-standards context. Computer Standards & Interfaces. 60. 57–66. 15 indexed citations

Barafort, Béatrix, Antoni‐Lluís Mesquida, & Antònia Mas. (2018). ISO 31000‐based integrated risk management process assessment model for IT organizations. Journal of Software Evolution and Process. 31(1). 19 indexed citations

Barafort, Béatrix, et al.. (2018). A software artefact to support standard-based process assessment: Evolution of the TIPA® framework in a design science research project. Computer Standards & Interfaces. 60. 37–47. 17 indexed citations

Barafort, Béatrix, Antoni‐Lluís Mesquida, & Antònia Mas. (2016). Integrating risk management in IT settings from ISO standards and management systems perspectives. Computer Standards & Interfaces. 54. 176–185. 55 indexed citations

Silva, Miguel Mira da, et al.. (2015). Using ArchiMate to model a process assessment framework. 1189–1194. 6 indexed citations

10.

Barafort, Béatrix, et al.. (2015). Benefits resulting from the combined use of ISO/IEC 15504 with the Information Technology Infrastructure Library (ITIL).

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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