Wided Guédria

926 total citations
23 papers, 391 citations indexed

About

Wided Guédria is a scholar working on Management Information Systems, Management of Technology and Innovation and Information Systems. According to data from OpenAlex, Wided Guédria has authored 23 papers receiving a total of 391 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Management Information Systems, 7 papers in Management of Technology and Innovation and 6 papers in Information Systems. Recurrent topics in Wided Guédria's work include Business Process Modeling and Analysis (13 papers), Information Technology Governance and Strategy (8 papers) and Big Data and Business Intelligence (6 papers). Wided Guédria is often cited by papers focused on Business Process Modeling and Analysis (13 papers), Information Technology Governance and Strategy (8 papers) and Big Data and Business Intelligence (6 papers). Wided Guédria collaborates with scholars based in Luxembourg, France and Portugal. Wided Guédria's co-authors include Hervé Panetto, Yannick Naudet, Béatrix Barafort, Shang Chen, David Chen, Thibaud Latour, Georg Weichhart, João Sarraipa, Milan Zdravković and Néjib Moalla and has published in prestigious journals such as International Journal of Production Research, Computers in Industry and Lecture notes in computer science.

In The Last Decade

Wided Guédria

22 papers receiving 378 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wided Guédria Luxembourg 9 152 127 93 81 49 23 391
Jad El‐khoury Sweden 12 104 0.7× 173 1.4× 92 1.0× 52 0.6× 89 1.8× 45 437
Didem Gürdür Sweden 8 88 0.6× 163 1.3× 72 0.8× 40 0.5× 29 0.6× 19 337
Liuliu Fu United States 10 110 0.7× 151 1.2× 81 0.9× 39 0.5× 47 1.0× 20 384
Pwpj Paul Grefen Netherlands 8 184 1.2× 104 0.8× 78 0.8× 34 0.4× 32 0.7× 33 397
Mert Onuralp Gökalp Türkiye 10 132 0.9× 102 0.8× 133 1.4× 26 0.3× 50 1.0× 22 370
Changrui Ren China 9 185 1.2× 57 0.4× 78 0.8× 33 0.4× 50 1.0× 52 358
Jiang‐Liang Hou Taiwan 12 100 0.7× 136 1.1× 65 0.7× 35 0.4× 67 1.4× 42 448
István Mezgár Hungary 10 121 0.8× 247 1.9× 96 1.0× 105 1.3× 33 0.7× 32 487
Anselmi Immonen 2 130 0.9× 237 1.9× 70 0.8× 154 1.9× 35 0.7× 2 479
Antti Sääksvuori 2 130 0.9× 237 1.9× 70 0.8× 154 1.9× 35 0.7× 2 479

Countries citing papers authored by Wided Guédria

Since Specialization
Citations

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

Fields of papers citing papers by Wided Guédria

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wided Guédria

This figure shows the co-authorship network connecting the top 25 collaborators of Wided Guédria. A scholar is included among the top collaborators of Wided Guédria 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 Wided Guédria. Wided Guédria 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.
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
2.
Reinhartz-Berger, Iris, et al.. (2021). Enterprise, Business-Process and Information Systems Modeling: 19th International Conference, BPMDS 2018, 23rd International Conference, EMMSAD 2018, Held at CAiSE 2018, Tallinn, Estonia, June 11-12, 2018, Proceedings. CERN Document Server (European Organization for Nuclear Research). 1 indexed citations
3.
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
4.
Guédria, Wided, et al.. (2020). Towards a Conceptual Framework for Smart Assessment in Organisations. IFAC-PapersOnLine. 53(2). 10943–10948. 3 indexed citations
5.
Guédria, Wided, et al.. (2020). Towards a Characterisation of Smart Systems: A Systematic Literature Review. Computers in Industry. 120. 103224–103224. 65 indexed citations
6.
Guédria, Wided, et al.. (2019). An ontology for interoperability assessment: A systemic approach. Journal of Industrial Information Integration. 16. 100100–100100. 32 indexed citations
7.
Debruyne, Christophe, et al.. (2019). On the Move to Meaningful Internet Systems: OTM 2018 Workshops. Lecture notes in computer science. 3 indexed citations
8.
Guédria, Wided, et al.. (2019). Interoperability assessment: A systematic literature review. Computers in Industry. 106. 111–132. 71 indexed citations
9.
Guédria, Wided, et al.. (2019). A semi-automated system for interoperability assessment: an ontology-based approach. Enterprise Information Systems. 14(3). 308–333. 6 indexed citations
10.
Zdravković, Milan, Jelena Zdravković, Alexis Aubry, et al.. (2017). Domain framework for implementation of open IoT ecosystems. International Journal of Production Research. 56(7). 2552–2569. 23 indexed citations
11.
Guédria, Wided, et al.. (2017). ASSESSING INTEROPERABILITY REQUIREMENTS IN NETWORKED ENTERPRISES: A MODEL‐BASED SYSTEM ENGINEERING APPROACH. Insight. 20(4). 15–18. 4 indexed citations
12.
Guerreiro, Sérgio, et al.. (2017). A Meta Model for Interoperability of Secure Business Transactions - Using BlockChain and DEMO. 253–260. 1 indexed citations
13.
Weichhart, Georg, Wided Guédria, & Yannick Naudet. (2016). Supporting interoperability in complex adaptive enterprise systems: A domain specific language approach. Data & Knowledge Engineering. 105. 90–106. 21 indexed citations
14.
Guédria, Wided. (2014). A Conceptual Framework for Enterprise Interoperability. International Journal of E-Business Research. 10(3). 54–64. 6 indexed citations
15.
Guédria, Wided, Yannick Naudet, & Shang Chen. (2013). Maturity model for enterprise interoperability. Enterprise Information Systems. 9(1). 1–28. 56 indexed citations
16.
Guédria, Wided, et al.. (2012). eHealth interoperability evaluation using a maturity model. Studies in health technology and informatics. 180. 333–7. 7 indexed citations
17.
Guédria, Wided, Arash Golnam, Yannick Naudet, David Chen, & Alain Wegmann. (2011). On the use of an Interoperability Framework in Coopetition Context. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1 indexed citations
18.
Naudet, Yannick, Wided Guédria, & David Chen. (2009). Systems Science for Enterprise Interoperability. 107–113. 8 indexed citations
19.
Naudet, Yannick, Thibaud Latour, Wided Guédria, & David Chen. (2009). Towards a systemic formalisation of interoperability. Computers in Industry. 61(2). 176–185. 57 indexed citations
20.
Guédria, Wided, Zohra Bellahsène, & Mathieu Roche. (2007). A Flexible Approach Based on the user Preferences for Schema Matching. HAL (Le Centre pour la Communication Scientifique Directe). 21–26. 2 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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