Hedi Karray

59 papers receiving 543 citations

Peers

Hedi Karray
Comparison fields: 5 of 75
  • Industrial and Manufacturing Engineering 141
  • Medical Laboratory Technology 14
  • Management Information Systems 80
  • Artificial Intelligence 274
  • Management Science and Operations Research 95
Replace Xing Pan with:
Xing Pan China
Bernard Archimède France
Mark Blackburn United States
Lenz Belzner Germany
José María García Spain
Maxime Lefrançois France
Edward Elson Kosasih United Kingdom
Xiaojun Chen China
Shengbin Jia China
Rabiah Abdul Kadir Malaysia
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Citations per year

Countries citing papers authored by Hedi Karray

Since Specialization
Citations

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

Fields of papers citing papers by Hedi Karray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Hedi Karray, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Hedi Karray Line = papers co-authored together Hedi Karray links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201955
2 202045
3 201242
4 202429
5 202027
6 202022
7 201021
8 201919
9 201918
10 202116
11 201415
12 201015
13 201014
14 202413
15
A modular ontology for semantically enhanced interoperability in operational disaster response
201912
16 201812
17 201112
18 202012
19 201912
20
The Industrial Ontologies Foundry (IOF) Perspectives.
202011

About Hedi Karray

Hedi Karray is a scholar working on Artificial Intelligence, Information Systems, Industrial and Manufacturing Engineering, Management Information Systems and Management Science and Operations Research, having authored 64 papers that have together received 575 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (34 papers), Service-Oriented Architecture and Web Services (25 papers), Data Quality and Management (10 papers), Manufacturing Process and Optimization (8 papers), Biomedical Text Mining and Ontologies (8 papers), Business Process Modeling and Analysis (6 papers), Digital Transformation in Industry (6 papers) and Flexible and Reconfigurable Manufacturing Systems (5 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (141 citations), Medical Laboratory Technology (14 citations), Management Information Systems (80 citations), Artificial Intelligence (274 citations) and Management Science and Operations Research (95 citations). Hedi Karray has collaborated with scholars based in France, United States and Tunisia. Frequent co-authors include Bernard Archimède, Noureddine Zerhouni, Brigitte Chebel‐Morello, Thierry Louge, Farhad Ameri, Melinda R. Hodkiewicz, Barry Smith, Fonbeyin Henry Abanda, Rahul Rai and Camille Magniont. Their work appears in journals such as Applied Ontology, Astronomy and Computing, Industrial Management & Data Systems, Computers in Industry and Future Generation Computer Systems.

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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