Wided Guédria

61 total papers · 920 total citations
23 papers, 385 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 385 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 France, Luxembourg and Portugal. Wided Guédria's co-authors include Hervé Panetto, Yannick Naudet, Béatrix Barafort, Shang Chen, David Chen, Thibaud Latour, Georg Weichhart, Milan Zdravković, Alexis Aubry 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 372 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Wided Guédria 153 125 95 81 50 23 385
Jad El‐khoury 104 0.7× 173 1.4× 92 1.0× 52 0.6× 88 1.8× 45 436
Liuliu Fu 111 0.7× 149 1.2× 81 0.9× 39 0.5× 47 0.9× 20 383
Didem Gürdür 88 0.6× 162 1.3× 72 0.8× 39 0.5× 29 0.6× 19 336
Pwpj Paul Grefen 184 1.2× 104 0.8× 78 0.8× 34 0.4× 32 0.6× 33 397
Kurt Kosanke 236 1.5× 131 1.0× 138 1.5× 92 1.1× 53 1.1× 25 384
Mert Onuralp Gökalp 129 0.8× 100 0.8× 131 1.4× 26 0.3× 50 1.0× 22 359
Jiang‐Liang Hou 100 0.7× 136 1.1× 64 0.7× 35 0.4× 66 1.3× 42 446
Fenareti Lampathaki 160 1.0× 63 0.5× 137 1.4× 70 0.9× 81 1.6× 36 416
Changrui Ren 184 1.2× 57 0.5× 78 0.8× 33 0.4× 50 1.0× 52 356
Michael K. Painter 184 1.2× 73 0.6× 139 1.5× 61 0.8× 79 1.6× 12 332

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

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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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