Nashat Mansour

1.1k citations
51 papers · 676 indexed · h-index 16

Nashat Mansour

49 papers receiving 595 citations

Peers

Nashat Mansour
Comparison fields: 5 of 73
  • Software 270
  • Industrial and Manufacturing Engineering 100
  • Information Systems 218
  • Management Science and Operations Research 102
  • Computer Networks and Communications 181
Replace Rajeev Kumar with:
Rajeev Kumar India
Peipei Wang China
Junyan Qian China
Seyed Morteza Babamir Iran
Thierry Coupaye France
Dana Nau United States
Ermeson Andrade Brazil
Andreas Bauer Germany
Bruno Nogueira Brazil
Saikat Chakraborty United States
Nashat Mansour relative to Rajeev Kumar India Rajeev Kumar's profile →
Citations per field
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Citations per year

Countries citing papers authored by Nashat Mansour

Since Specialization
Citations

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

Fields of papers citing papers by Nashat Mansour

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 14 scholars most cited alongside Nashat Mansour, 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 Nashat Mansour Line = papers co-authored together Nashat Mansour links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20164
2 20142
3 201221
4
Improving the Accuracy of English-Arabic Statistical Sentence Alignment
20113
5 201111
6 20103
7 20095
8 200913
9 200822
10
UML based regression testing for OO software
20072
11
Mining Airline Data for CRM Strategies
20072
12 20072
13 20065
14
WSDL Mutation for Testing Web Services.
20051
15 200518
16 20031
17 20033
18 200128
19
General Applicability of Genetic and Simulated Annealing Algorithms for Data Mapping.
19950
20
A Distributed Genetic Algorithm for Employee Staffing and Scheduling Problems
199332

About Nashat Mansour

Nashat Mansour is a scholar working on Software, Management Science and Operations Research and Information Systems, having authored 51 papers that have together received 676 indexed citations. Recurring topics across this work include Software Testing and Debugging Techniques (15 papers), Software Reliability and Analysis Research (15 papers), Software Engineering Research (13 papers), Scheduling and Timetabling Solutions (8 papers), Software System Performance and Reliability (7 papers), Protein Structure and Dynamics (5 papers), Metaheuristic Optimization Algorithms Research (5 papers) and Machine Learning in Bioinformatics (4 papers). The work is most often cited by research in Software (270 citations), Industrial and Manufacturing Engineering (100 citations) and Information Systems (218 citations). Nashat Mansour has collaborated with scholars based in Lebanon, United States and United Kingdom. Frequent co-authors include Fred F. Easton, Ramzi A. Haraty, Geoffrey Fox, Hassan Khachfe, Rami Bahsoon, Abbas Tarhini, I Khalil, Faisal N. Abu-Khzam, Mohammad Salameh and Amer E. Mouawad.

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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