Nahla Ben Amor

1.7k citations
44 papers · 751 indexed · h-index 12
Topics
Bayesian Modeling and Causal Inference (24 papers)Multi-Criteria Decision Making (13 papers)Rough Sets and Fuzzy Logic (10 papers)
Partner nations
FranceTunisiaCanada

In The Last Decade

Nahla Ben Amor

40 papers receiving 685 citations

Peers

Nahla Ben Amor
Comparison fields: 5 of 94
  • Artificial Intelligence 404
  • Computer Networks and Communications 278
  • Signal Processing 132
  • Information Systems 123
  • Management Science and Operations Research 89
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Enrico Vicario Italy
Nicolás Marı́n Spain
Yoosef B. Abushark Saudi Arabia
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Citations per year

Countries citing papers authored by Nahla Ben Amor

Since Specialization
Citations

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

Fields of papers citing papers by Nahla Ben Amor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nahla Ben Amor. 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 Nahla Ben Amor. The network helps show where Nahla Ben Amor may publish in the future.

Co-authorship network of co-authors of Nahla Ben Amor

This figure shows the co-authorship network connecting the top 25 collaborators of Nahla Ben Amor. A scholar is included among the top collaborators of Nahla Ben Amor 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 Nahla Ben Amor. Nahla Ben Amor 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
#WorkIndexed citations
1 2
2 0
3 1
4 2
5 2
6 4
7 1
8 27
9 1
10 10
11 18
12
Probability-Possibility Transformation: - Application to Bayesian and Possibilistic Networks.
1
13 4
14 2
15 58
16
A New Process-Based Approach for Implementing an Integrated Management System: Quality, Security, Environment
18
17
A Multi-objective Approach to Implement an Integrated Management System: Quality, Security, Environment.
2
18 28
19 81
20 12

About Nahla Ben Amor

Nahla Ben Amor is a scholar working on General Decision Sciences, Medical Laboratory Technology and Management Science and Operations Research, having authored 44 papers that have together received 751 indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (24 papers), Multi-Criteria Decision Making (13 papers) and Rough Sets and Fuzzy Logic (10 papers). The work is most often cited by research in Artificial Intelligence (404 citations), Signal Processing (132 citations) and Computer Networks and Communications (278 citations). Nahla Ben Amor has collaborated with scholars based in France, Tunisia and Canada. Frequent co-authors include Salem Benferhat, Zied Elouedi, Zied Elouedi, Ilyes Jenhani, Khaled Mellouli, Sehl Mellouli, El‐Ghazali Talbi, I. Boukhris, Philippe Leray and Hélène Fargier. Their work appears in journals such as European Journal of Operational Research, Information Sciences and Fuzzy Sets and 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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