Aso Mohammad Darwesh

46.8k citations
45 papers · 625 indexed · h-index 15
Topics
IoT and Edge/Fog Computing (13 papers)Cloud Computing and Resource Management (9 papers)Mobile Ad Hoc Networks (7 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEIEEE Access
Partner nations
IraqIranTaiwan

In The Last Decade

Aso Mohammad Darwesh

44 papers receiving 591 citations

Peers

Aso Mohammad Darwesh
Comparison fields: 5 of 85
  • Computer Networks and Communications 349
  • Information Systems 241
  • Artificial Intelligence 115
  • Electrical and Electronic Engineering 88
  • Computer Vision and Pattern Recognition 60
Replace Salman Salloum with:
Salman Salloum China
Sheng-Yuan Yang Taiwan
Kang Chen United States
Jai E. Jung South Korea
Nasrullah Armi Indonesia
Hanan M. Shukur Iraq
Engin Zeydan Spain
Mais Tawalbeh Jordan
Low Tang Jung Malaysia
Aso Mohammad Darwesh relative to Salman Salloum China Salman Salloum's profile →
Citations per field
00.5×1.5×
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Citations per year

Countries citing papers authored by Aso Mohammad Darwesh

Since Specialization
Citations

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

Fields of papers citing papers by Aso Mohammad Darwesh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aso Mohammad Darwesh. 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 Aso Mohammad Darwesh. The network helps show where Aso Mohammad Darwesh may publish in the future.

Co-authorship network of co-authors of Aso Mohammad Darwesh

This figure shows the co-authorship network connecting the top 25 collaborators of Aso Mohammad Darwesh. A scholar is included among the top collaborators of Aso Mohammad Darwesh 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 Aso Mohammad Darwesh. Aso Mohammad Darwesh 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
1 6
2 8
3 9
4 14
5 5
6 2
7 4
8 3
9 12
10 32
11 1
12 23
13 17
14
A New Algorithm to Defend Against Sybil Attack in Static Wireless Sensor Networks Using Mobile Observer Sensor Nodes.
5
15 2
16 1
17 8
18 1
19 1
20 10

About Aso Mohammad Darwesh

Aso Mohammad Darwesh is a scholar working on Computer Networks and Communications, Information Systems and Signal Processing, having authored 45 papers that have together received 625 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (13 papers), Cloud Computing and Resource Management (9 papers) and Mobile Ad Hoc Networks (7 papers). The work is most often cited by research in Computer Networks and Communications (349 citations), Information Systems (241 citations) and Signal Processing (44 citations). Aso Mohammad Darwesh has collaborated with scholars based in Iraq, Iran and Taiwan. Frequent co-authors include Mehdi Hosseinzadeh, Nima Jafari Navimipour, Arash Sharifi, Mehdi Esnaashari, Mohammad Reza Meybodi, Amir Masoud Rahmani, Mohammad Hossein Moattar, Amir Sahafi, Mehdi Hosseinzadeh and Lila Rajabion. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Access.

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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