Umar Sa’ad

469 citations
5 papers · 325 · 1 hit paper · h-index 4

Impact in

    • Opportunistic and Delay-Tolerant Networks
    • Mobile Ad Hoc Networks
    • Distributed Control Multi-Agent Systems
    • IoT and Edge/Fog Computing
    • Network Security and Intrusion Detection
    • Energy Efficient Wireless Sensor Networks
    • UAV Applications and Optimization

Papers in

Umar Sa’ad

5 papers receiving 319 citations

Umar Sa’ad's Hit Papers

Routing in Flying Ad Hoc Networks: A Comprehensive Survey 2020 · 277 citations
2770+2+4Years since publication50100150200250

Peers

Umar Sa’ad
Comparison fields: 5 of 28
  • Computer Networks and Communications 273
  • Aerospace Engineering 207
  • Computer Vision and Pattern Recognition 42
  • Electrical and Electronic Engineering 103
  • Signal Processing 14
Replace Hamed Hellaoui with:
Hamed Hellaoui Finland
Huasen He China
Anh-Tien Tran South Korea
Tran Thien Thanh Vietnam
Tong Peng China
Geon-Hwan Kim South Korea
Thanh Phung Truong South Korea
Shigenori Tani Japan
Cailian Deng China
Umar Sa’ad relative to Hamed Hellaoui Finland Hamed Hellaoui's profile →
Citations per field
00.5×1.5×2.1×
Hamed Hellaoui · 1×
Citations per year

Countries citing papers authored by Umar Sa’ad

Since Specialization
Citations

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

Fields of papers citing papers by Umar Sa’ad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Umar Sa’ad. 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 Umar Sa’ad. The network helps show where Umar Sa’ad may publish in the future.

Co-authors

The 9 scholars most cited alongside Umar Sa’ad, 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 Umar Sa’ad Line = papers co-authored together Umar Sa’ad links everyone, so they are left out of the graph.

All Works

About Umar Sa’ad

Umar Sa’ad is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Signal Processing, Artificial Intelligence and Aerospace Engineering, having authored 5 papers that have together received 325 indexed citations. Recurring topics across this work include Software-Defined Networks and 5G (2 papers), Opportunistic and Delay-Tolerant Networks (2 papers), Network Security and Intrusion Detection (2 papers), Full-Duplex Wireless Communications (1 paper), Anomaly Detection Techniques and Applications (1 paper), Vehicular Ad Hoc Networks (VANETs) (1 paper), UAV Applications and Optimization (1 paper) and Advanced MIMO Systems Optimization (1 paper). The work is most often cited by research in Computer Networks and Communications (273 citations), Aerospace Engineering (207 citations), Computer Vision and Pattern Recognition (42 citations), Electrical and Electronic Engineering (103 citations) and Signal Processing (14 citations). Umar Sa’ad has collaborated with scholars based in South Korea, Germany and Ethiopia. Frequent co-authors include Sungrae Cho, Nhu–Ngoc Dao, Demeke Shumeye Lakew, Woongsoo Na, Thomas Bauschert, Joongheon Kim, Dinh‐Thuan Do, Trung V. Phan and Eun‐Seok Ryu. Their work appears in journals such as IEEE Communications Surveys & Tutorials, IEEE Vehicular Technology Magazine, Journal of Network and Computer Applications and IEEE Systems Journal.

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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