Mahmoud Daneshmand

103 papers receiving 3.4k citations

Hit Papers

A Survey on the Metaverse: The State...2019202620212023202320192020100200300

Peers

Mahmoud Daneshmand
Comparison fields: 5 of 132
  • Computer Networks and Communications 2.1k
  • Electrical and Electronic Engineering 1.1k
  • Information Systems 738
  • Artificial Intelligence 493
  • Computer Vision and Pattern Recognition 292
Replace Yunhao Liu with:
Yunhao Liu China
Paula Fraga‐Lamas Spain
Wazir Zada Khan Saudi Arabia
Tiago M. Fernández‐Caramés Spain
Noël Crespi France
Ikram Ud Din Pakistan
Kostas E. Psannis Greece
Jianhua Ma Japan
Wei Yang Bryan Lim Singapore
Long Hu China
Mahmoud Daneshmand relative to Yunhao Liu China Yunhao Liu's profile →
Citations per field
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Citations per year

Countries citing papers authored by Mahmoud Daneshmand

Since Specialization
Citations

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

Fields of papers citing papers by Mahmoud Daneshmand

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mahmoud Daneshmand. 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 Mahmoud Daneshmand. The network helps show where Mahmoud Daneshmand may publish in the future.

Co-authorship network of co-authors of Mahmoud Daneshmand

This figure shows the co-authorship network connecting the top 25 collaborators of Mahmoud Daneshmand. A scholar is included among the top collaborators of Mahmoud Daneshmand 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 Mahmoud Daneshmand. Mahmoud Daneshmand 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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A Survey on the Metaverse: The State-of-the-Art, Technologies, Applications, and Challengesbreakdown →
369
5 62
6 14
7 32
8 5
9 14
10
An In-Depth Analysis of IoT Security Requirements, Challenges, and Their Countermeasures via Software-Defined Securitybreakdown →
223
11 16
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13 5
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15 18
16 26
17 17
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19 31
20 37

About Mahmoud Daneshmand

Mahmoud Daneshmand is a scholar working on Computer Networks and Communications, Information Systems and Media Technology, having authored 106 papers that have together received 3.6k indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (29 papers), Cooperative Communication and Network Coding (16 papers) and Advanced MIMO Systems Optimization (12 papers). The work is most often cited by research in Computer Networks and Communications (2.1k citations), Human-Computer Interaction (190 citations) and Information Systems (738 citations). Mahmoud Daneshmand has collaborated with scholars based in United States, China and India. Frequent co-authors include Amir H. Gandomi, K. Sohraby, Huansheng Ning, Chonggang Wang, Mohammad S. Khan, Sushanta Kumar Mohapatra, Umesh Chandra Samal, Trupti Mayee Behera, Rizwan Patan and Fadi Farha. Their work appears in journals such as IEEE Access, IEEE Journal on Selected Areas in Communications and IEEE Communications Magazine.

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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