Mohammad Ghasemzadeh

486 citations
45 papers · 307 indexed · h-index 11
Topics
Mobile Ad Hoc Networks (8 papers)Energy Efficient Wireless Sensor Networks (5 papers)Network Security and Intrusion Detection (4 papers)
Partner nations
IranGermanyUnited States

In The Last Decade

Mohammad Ghasemzadeh

39 papers receiving 289 citations

Peers

Mohammad Ghasemzadeh
Comparison fields: 5 of 60
  • Artificial Intelligence 109
  • Information Systems 101
  • Computer Networks and Communications 97
  • Electrical and Electronic Engineering 63
  • Signal Processing 41
Replace V. Govindasamy with:
V. Govindasamy India
Dejun Mu China
Hatem Abdul-Kader Egypt
Qinkai Zheng China
Khalid Aloufi Saudi Arabia
Yongwang Zhao China
Stylianos Basagiannis Greece
Myungho Lee South Korea
Woosuk Kwon South Korea
Juan Lopez United States
Mohammad Ghasemzadeh relative to V. Govindasamy India V. Govindasamy's profile →
Citations per field
00.5×1.6×
V. Govindasamy · 1×
Citations per year

Countries citing papers authored by Mohammad Ghasemzadeh

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad Ghasemzadeh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammad Ghasemzadeh

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Ghasemzadeh. A scholar is included among the top collaborators of Mohammad Ghasemzadeh 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 Mohammad Ghasemzadeh. Mohammad Ghasemzadeh 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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Fuzzy Decision Tree Induction Using Fast Data Partitioning and Incremental Approach
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5 22
6 1
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8 10
9 1
10 1
11
ResBinNet: Residual Binary Neural Network.
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12 2
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15 19
16 32
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Representation and Evaluation of QBFs in Prenex-NNF
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About Mohammad Ghasemzadeh

Mohammad Ghasemzadeh is a scholar working on Computer Networks and Communications, Artificial Intelligence and Software, having authored 45 papers that have together received 307 indexed citations. Recurring topics across this work include Mobile Ad Hoc Networks (8 papers), Energy Efficient Wireless Sensor Networks (5 papers) and Network Security and Intrusion Detection (4 papers). The work is most often cited by research in Software (20 citations), Information Systems (101 citations) and Computer Networks and Communications (97 citations). Mohammad Ghasemzadeh has collaborated with scholars based in Iran, Germany and United States. Frequent co-authors include Farinaz Koushanfar, Wasswa Shafik, S. Mojtaba Matinkhah, Vali Derhami, Mohammad Samragh, Shahrokh Asadi, Bita Darvish Rouhani, Mehdi Mahdavi, Siam U. Hussain and Takuya Higuchi. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Industrial Informatics and IEEE Transactions on Knowledge and Data Engineering.

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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