Mohammad Al-Rousan

29 papers receiving 398 citations

Peers

Mohammad Al-Rousan
Comparison fields: 5 of 73
  • Computer Vision and Pattern Recognition 174
  • Human-Computer Interaction 30
  • Computer Networks and Communications 104
  • Artificial Intelligence 111
  • Control and Systems Engineering 62
Replace Vítor Fortes Rey with:
Vítor Fortes Rey Germany
Shiqi Li China
Mohammed Amine Togou Ireland
Carmadi Machbub Indonesia
Fernando Díaz-del-Río Spain
Majid Ali Khan Saudi Arabia
Mary Koes United States
Yutong Chen China
Nalini C. Iyer India
Amin Shoukry Egypt
Mohammad Al-Rousan relative to Vítor Fortes Rey Germany Vítor Fortes Rey'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 2010176
2 201056
3
Automatic Recognition of Arabic Sign Language Finger Spelling.
200129
4 201727
5 201517
6 201814
7 201512
8 20208
9 20128
10 20188
11 20108
12 20247
13 20126
14 20206
15 20095
16 20124
17 20083
18 20183
19 20103
20
Joint Geographic and Energy-aware Routing Protocol for Static and Mobile Wireless Sensor Networks.
20183

About Mohammad Al-Rousan

Mohammad Al-Rousan is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Condensed Matter Physics and Artificial Intelligence, having authored 29 papers that have together received 416 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), Microfluidic and Bio-sensing Technologies (2 papers), Micro and Nano Robotics (2 papers), Wireless Networks and Protocols (2 papers), IoT and Edge/Fog Computing (2 papers) and Solar Radiation and Photovoltaics (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (174 citations), Human-Computer Interaction (30 citations), Computer Networks and Communications (104 citations), Artificial Intelligence (111 citations) and Control and Systems Engineering (62 citations). Mohammad Al-Rousan has collaborated with scholars based in Jordan, United States and United Arab Emirates. Frequent co-authors include Mohammad A. Jaradat, Mohammed Abdulla Hussain, Mohamed Ghazi Al-Fandi, Mohammad H. Alshayeji, Muneer Bani Yassein, Shadi A Aljawarneh, Wail E. Mardini, Nadia Al‐Rousan, Benedetto Intrigila and Yaser Jararweh. Their work appears in journals such as Robotics and Computer-Integrated Manufacturing, Computers & Electrical Engineering, International Journal of Sensor Networks, Journal of Information Technology Education Research and Electronics Letters.

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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