Javad Mohammadzadeh

828 citations
41 papers · 605 indexed · h-index 14
Topics
Metaheuristic Optimization Algorithms Research (7 papers)Gene expression and cancer classification (6 papers)Machine Learning in Bioinformatics (5 papers)
Journals
SHILAP Revista de lepidopterologíaComputers in Human BehaviorIEEE Access
Partner nations
IranUnited Kingdom

In The Last Decade

Javad Mohammadzadeh

35 papers receiving 582 citations

Peers

Javad Mohammadzadeh
Comparison fields: 5 of 112
  • Artificial Intelligence 243
  • Computational Theory and Mathematics 73
  • Electrical and Electronic Engineering 69
  • Computer Vision and Pattern Recognition 58
  • Computer Networks and Communications 58
Replace Yang Ji with:
Yang Ji China
Hyggo Almeida Brazil
Hassan Reza United States
Kalamullah Ramli Indonesia
Thompson Stephan India
A. H. Mohsin Malaysia
Mark Blackburn United States
Jacky Montmain France
Javad Mohammadzadeh relative to Yang Ji China Yang Ji's profile →
Citations per field
00.5×3.2×
Yang Ji · 1×
Citations per year

Countries citing papers authored by Javad Mohammadzadeh

Since Specialization
Citations

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

Fields of papers citing papers by Javad Mohammadzadeh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Javad Mohammadzadeh

This figure shows the co-authorship network connecting the top 25 collaborators of Javad Mohammadzadeh. A scholar is included among the top collaborators of Javad Mohammadzadeh 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 Javad Mohammadzadeh. Javad Mohammadzadeh 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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4 8
5 31
6 14
7 107
8 5
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11 19
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A Reliable Routing Algorithm for Delay Sensitive Data in Body Area Networks
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13 9
14 17
15
Cisplatin Resistant Patterns in Ovarian Cell Line Using FTIR and Principle Component Analysis.
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About Javad Mohammadzadeh

Javad Mohammadzadeh is a scholar working on Artificial Intelligence, Computer Networks and Communications and Statistical and Nonlinear Physics, having authored 41 papers that have together received 605 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (7 papers), Gene expression and cancer classification (6 papers) and Machine Learning in Bioinformatics (5 papers). The work is most often cited by research in Artificial Intelligence (243 citations), Industrial and Manufacturing Engineering (55 citations) and Computational Theory and Mathematics (73 citations). Javad Mohammadzadeh has collaborated with scholars based in Iran and United Kingdom. Frequent co-authors include Madjid Khalilian, Sasan Harifi, Sadoullah Ebrahimnejad, Azam Bastanfard, Saeed Shiry Ghidary, Mahdi Mohammadzadeh, Ali Masoudi‐Nejad, Esmaeil Fakharian, Rezvan Zendehdel and Farshad H. Shirazi. Their work appears in journals such as SHILAP Revista de lepidopterología, Computers in Human Behavior 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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