Mohammad Al-Rousan

535 citations
29 papers · 380 · h-index 8

Impact in

Papers in

Mohammad Al-Rousan

27 papers receiving 359 citations

Peers

Mohammad Al-Rousan
Comparison fields: 5 of 67
  • Computer Vision and Pattern Recognition 161
  • Human-Computer Interaction 29
  • Computer Networks and Communications 96
  • Artificial Intelligence 95
  • Control and Systems Engineering 60
Replace Beomjoon Kim with:
Beomjoon Kim South Korea
Vítor Fortes Rey Germany
Wanru Xu China
Kil-Houm Park South Korea
Mohammed Amine Togou Ireland
Yutong Chen China
Hamzah Asyrani Sulaiman Malaysia
Parmesh Ramanathan United States
Carmadi Machbub Indonesia
Shiqi Li China
Mohammad Al-Rousan relative to Beomjoon Kim South Korea Beomjoon Kim's profile →
Citations per field
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Citations per year

Countries citing papers authored by Mohammad Al-Rousan

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad Al-Rousan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mohammad Al-Rousan. 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 Mohammad Al-Rousan. The network helps show where Mohammad Al-Rousan may publish in the future.

Co-authors

The 25 scholars most cited alongside Mohammad Al-Rousan, 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 Mohammad Al-Rousan Line = papers co-authored together Mohammad Al-Rousan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010159
2 201051
3
Automatic Recognition of Arabic Sign Language Finger Spelling.
200128
4 201728
5 201517
6 201512
7 201810
8 20128
9 20107
10 20207
11 20187
12 20126
13 20095
14 20205
15 20124
16
Joint Geographic and Energy-aware Routing Protocol for Static and Mobile Wireless Sensor Networks.
20183
17 20113
18 20183
19 20083
20 19913

About Mohammad Al-Rousan

Mohammad Al-Rousan is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Artificial Intelligence, Biomedical Engineering and Computer Vision and Pattern Recognition, having authored 29 papers that have together received 380 indexed citations. Recurring topics across this work include Energy Efficient Wireless Sensor Networks (6 papers), Opportunistic and Delay-Tolerant Networks (5 papers), Mobile Ad Hoc Networks (4 papers), Network Traffic and Congestion Control (2 papers), IoT and Edge/Fog Computing (2 papers), Micro and Nano Robotics (2 papers), Network Security and Intrusion Detection (2 papers) and Solar Radiation and Photovoltaics (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (161 citations), Human-Computer Interaction (29 citations), Computer Networks and Communications (96 citations), Artificial Intelligence (95 citations) and Control and Systems Engineering (60 citations). Mohammad Al-Rousan has collaborated with scholars based in Jordan, United Arab Emirates and United States. Frequent co-authors include Mohammad A. Jaradat, Mohammed Hussain, Mohamed Al-Fandi, Mohammad H. Alshayeji, Muneer Bani Yassein, Wail Mardini, Shadi Aljawarneh, Benedetto Intrigila, Nadia Al‐Rousan and Yaser Jararweh. Their work appears in journals such as Computers & Electrical Engineering, Robotics and Computer-Integrated Manufacturing, Electronics Letters, International Journal of Sensor Networks and Journal of Information Technology Education Research.

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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