Mona Nasr

551 citations
45 papers · 327 indexed · h-index 11
Topics
Cloud Computing and Resource Management (10 papers)Big Data and Business Intelligence (7 papers)IoT and Edge/Fog Computing (6 papers)
Journals
Computers & Electrical EngineeringEgyptian Informatics JournalInternational Journal of Advanced Computer Science and Applications

In The Last Decade

Mona Nasr

38 papers receiving 307 citations

Peers

Mona Nasr
Comparison fields: 5 of 84
  • Information Systems 129
  • Artificial Intelligence 81
  • Computer Networks and Communications 75
  • Management Information Systems 62
  • Computer Science Applications 40
Replace Rodolfo Alfredo Bertone with:
Rodolfo Alfredo Bertone Argentina
Rohiza Ahmad Malaysia
Samira Khoulji Morocco
Youssef Mourdi Morocco
Fulvio Frati Italy
Michael C. Daconta United States
Emanuel Ferreira Coutinho Brazil
J. Kontio Finland
Aliza Sarlan Malaysia
Naoufel Kraïem Tunisia
Mona Nasr relative to Rodolfo Alfredo Bertone Argentina Rodolfo Alfredo Bertone's profile →
Citations per field
00.5×9.8×
Rodolfo Alfredo Bertone · 1×
Citations per year

Countries citing papers authored by Mona Nasr

Since Specialization
Citations

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

Fields of papers citing papers by Mona Nasr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mona Nasr

This figure shows the co-authorship network connecting the top 25 collaborators of Mona Nasr. A scholar is included among the top collaborators of Mona Nasr 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 Mona Nasr. Mona Nasr 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 0
2 1
3 10
4 0
5 0
6 4
7 3
8 1
9 1
10 7
11 33
12 0
13 1
14
A Proposed Model for a Web-Based Academic Advising System
12
15 1
16 5
17 0
18 4
19
Business Intelligence Maturity Models Toward New Integrated Model
4
20 12

About Mona Nasr

Mona Nasr is a scholar working on Management Information Systems, Information Systems and Space and Planetary Science, having authored 45 papers that have together received 327 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (10 papers), Big Data and Business Intelligence (7 papers) and IoT and Edge/Fog Computing (6 papers). The work is most often cited by research in Computer Science Applications (40 citations), Management Information Systems (62 citations) and Information Systems (129 citations). Mona Nasr has collaborated with scholars based in Egypt, United Arab Emirates and Italy. Frequent co-authors include Shimaa Ouf, Yehia Helmy, Maryam Hazman, Hesham Elmasry, Atef Z. Ghalwash, Ayman E. Khedr, Mohamed Nasr, Mohamed Aymen Saied, Khaled Y. Kamal and Randa Abdou. Their work appears in journals such as Computers & Electrical Engineering, Egyptian Informatics Journal and International Journal of Advanced Computer Science and Applications.

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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