Maha Saadeh

738 citations
23 papers · 518 · h-index 12

Impact in

Papers in

Maha Saadeh

21 papers receiving 498 citations

Peers

Maha Saadeh
Comparison fields: 5 of 84
  • Computer Networks and Communications 277
  • Signal Processing 90
  • Information Systems 119
  • Artificial Intelligence 123
  • Information Systems and Management 14
Replace Zinaida Benenson with:
Zinaida Benenson Germany
Xianghang Mi United States
Mariano Cilia Germany
Igor Bilogrevic Switzerland
S. D. Madhu Kumar India
Shahram Rahimi United States
Abbas Razaghpanah United States
Tomasz Bujlow Denmark
Oliver Buckley United Kingdom
Sergio Pastrana Spain
Maha Saadeh relative to Zinaida Benenson Germany Zinaida Benenson's profile →
Citations per field
00.5×4.3×
Zinaida Benenson · 1×
Citations per year

Countries citing papers authored by Maha Saadeh

Since Specialization
Citations

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

Fields of papers citing papers by Maha Saadeh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Maha Saadeh, 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 Maha Saadeh Line = papers co-authored together Maha Saadeh links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202283
2 201876
3 201769
4 201651
5 202143
6 202333
7 201831
8 201121
9 202218
10 202017
11 201517
12 201614
13 201911
14
Automatic valuation of Jordanian estates using a genetically-optimised artificial neural network approach
20107
15 20156
16 20156
17 20205
18 20213
19 20203
20 20183

About Maha Saadeh

Maha Saadeh is a scholar working on Computer Networks and Communications, Information Systems, Artificial Intelligence, Signal Processing and Electrical and Electronic Engineering, having authored 23 papers that have together received 518 indexed citations. Recurring topics across this work include Advanced Authentication Protocols Security (5 papers), User Authentication and Security Systems (4 papers), Network Security and Intrusion Detection (3 papers), Energy Efficient Wireless Sensor Networks (3 papers), Cryptography and Data Security (2 papers), Anomaly Detection Techniques and Applications (2 papers), COVID-19 and Mental Health (2 papers) and Human Mobility and Location-Based Analysis (2 papers). The work is most often cited by research in Computer Networks and Communications (277 citations), Signal Processing (90 citations), Information Systems (119 citations), Artificial Intelligence (123 citations) and Information Systems and Management (14 citations). Maha Saadeh has collaborated with scholars based in Jordan, United Arab Emirates and Iraq. Frequent co-authors include Wesam Almobaideen, Heba Saadeh, Mamoon Allan, Azzam Sleit, Omar Adwan, Mohammad Yaqub, Hazem Hiary, Khair Eddin Sabri, Iman Almomani and Mohammad Qatawneh. Their work appears in journals such as Neural Processing Letters, Computers & Security, Frontiers in Medicine, Frontiers in Psychiatry and Journal of Information Security 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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