Abegaz Mohammed Seid

40 papers receiving 897 citations

Hit Papers

Multi-Agent DRL for Task Offloading and Resource Allocati...20212026202220242021202150100150

Peers

Abegaz Mohammed Seid
Comparison fields: 5 of 58
  • Computer Networks and Communications 591
  • Aerospace Engineering 400
  • Electrical and Electronic Engineering 300
  • Computer Vision and Pattern Recognition 209
  • Information Systems 208
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Abegaz Mohammed Seid relative to Gordon Owusu Boateng China Gordon Owusu Boateng's profile →
Citations per field
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Gordon Owusu Boateng · 1×
Citations per year

Countries citing papers authored by Abegaz Mohammed Seid

Since Specialization
Citations

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

Fields of papers citing papers by Abegaz Mohammed Seid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Abegaz Mohammed Seid. 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 Abegaz Mohammed Seid. The network helps show where Abegaz Mohammed Seid may publish in the future.

Co-authorship network of co-authors of Abegaz Mohammed Seid

This figure shows the co-authorship network connecting the top 25 collaborators of Abegaz Mohammed Seid. A scholar is included among the top collaborators of Abegaz Mohammed Seid 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 Abegaz Mohammed Seid. Abegaz Mohammed Seid 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
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2 4
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6 13
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15
Collaborative Computation Offloading and Resource Allocation in Multi-UAV-Assisted IoT Networks: A Deep Reinforcement Learning Approachbreakdown →
170
16 32
17 44
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Multi-Agent DRL for Task Offloading and Resource Allocation in Multi-UAV Enabled IoT Edge Networkbreakdown →
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About Abegaz Mohammed Seid

Abegaz Mohammed Seid is a scholar working on Computer Networks and Communications, Aerospace Engineering and Computer Vision and Pattern Recognition, having authored 44 papers that have together received 916 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (19 papers), UAV Applications and Optimization (16 papers) and Privacy-Preserving Technologies in Data (6 papers). The work is most often cited by research in Computer Networks and Communications (591 citations), Aerospace Engineering (400 citations) and Computer Vision and Pattern Recognition (209 citations). Abegaz Mohammed Seid has collaborated with scholars based in China, Qatar and United Arab Emirates. Frequent co-authors include Guolin Sun, Gordon Owusu Boateng, Hayla Nahom Abishu, Guisong Liu, Tewodros Alemu Ayall, Aiman Erbad, Wei Jiang, Mohsen Guizani, Mohamed Abdallah and Abdullatif Albaseer. Their work appears in journals such as IEEE Access, IEEE Journal on Selected Areas in Communications and IEEE Transactions on Vehicular Technology.

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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