Nabil Nahas

1.3k citations
48 papers · 1.1k · h-index 18

Impact in

Papers in

Nabil Nahas

46 papers receiving 1.0k citations

Peers

Nabil Nahas
Comparison fields: 5 of 62
  • Software 240
  • Safety, Risk, Reliability and Quality 497
  • Industrial and Manufacturing Engineering 317
  • Statistics, Probability and Uncertainty 209
  • Management Information Systems 184
Replace Mani Sharifi with:
Mani Sharifi Iran
Rosmaini Ahmad Malaysia
Ramin Moghaddass United States
Di Zhou China
Jiangbin Zhao China
Zhen Chen China
Mohamed-Salah Ouali Canada
Tangfan Xiahou China
A.H.M.A. Rahim Saudi Arabia
Nabil Nahas relative to Mani Sharifi Iran Mani Sharifi's profile →
Citations per field
00.5×3.9×
Mani Sharifi · 1×
Citations per year

Countries citing papers authored by Nabil Nahas

Since Specialization
Citations

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

Fields of papers citing papers by Nabil Nahas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Nabil Nahas, 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 Nabil Nahas Line = papers co-authored together Nabil Nahas links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015124
2 200490
3 200688
4 201268
5 200664
6 201957
7 200854
8 201452
9 202246
10 200842
11 200837
12 201037
13 201731
14 202128
15 201426
16 200523
17 200320
18 202220
19 200715
20 201413

About Nabil Nahas

Nabil Nahas is a scholar working on Safety, Risk, Reliability and Quality, Industrial and Manufacturing Engineering, Management Information Systems, Control and Systems Engineering and Electrical and Electronic Engineering, having authored 48 papers that have together received 1.1k indexed citations. Recurring topics across this work include Reliability and Maintenance Optimization (17 papers), Scheduling and Optimization Algorithms (13 papers), Advanced Manufacturing and Logistics Optimization (9 papers), Assembly Line Balancing Optimization (8 papers), Advanced Queuing Theory Analysis (5 papers), Software Reliability and Analysis Research (5 papers), Management and Optimization Techniques (4 papers) and Optimization and Packing Problems (4 papers). The work is most often cited by research in Software (240 citations), Safety, Risk, Reliability and Quality (497 citations), Industrial and Manufacturing Engineering (317 citations), Statistics, Probability and Uncertainty (209 citations) and Management Information Systems (184 citations). Nabil Nahas has collaborated with scholars based in Canada, Saudi Arabia and United States. Frequent co-authors include Mustapha Nourelfath, Daoud Aı̈t-Kadi, Mohammed Abouheaf, Mohamed Ben‐Daya, Abdelhakim Khatab, Ėric Châtelet, Adel M. Sharaf, Sallam A. Kouritem, Wail Gueaieb and Michel Gendreau. Their work appears in journals such as Reliability Engineering & System Safety, Journal of Quality in Maintenance Engineering, Engineering Optimization, International Journal of Production Economics and European J of Industrial Engineering.

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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