Mansour Esmaeilpour

553 citations
25 papers · 373 indexed · 2 hit papers · h-index 9
Topics
Spam and Phishing Detection (3 papers)EEG and Brain-Computer Interfaces (3 papers)Image and Signal Denoising Methods (2 papers)
Partner nations
IranMalaysiaTaiwan

In The Last Decade

Mansour Esmaeilpour

21 papers receiving 347 citations

Hit Papers

The deep learning applications in IoT-based bio- and medi...20242026202520242024255075100

Peers

Mansour Esmaeilpour
Comparison fields: 5 of 94
  • Artificial Intelligence 171
  • Computer Networks and Communications 100
  • Information Systems 68
  • Signal Processing 44
  • Control and Systems Engineering 33
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Jiao Yin China
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Citations per field
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Citations per year

Countries citing papers authored by Mansour Esmaeilpour

Since Specialization
Citations

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

Fields of papers citing papers by Mansour Esmaeilpour

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mansour Esmaeilpour

This figure shows the co-authorship network connecting the top 25 collaborators of Mansour Esmaeilpour. A scholar is included among the top collaborators of Mansour Esmaeilpour 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 Mansour Esmaeilpour. Mansour Esmaeilpour 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
The deep learning applications in IoT-based bio- and medical informatics: a systematic literature reviewbreakdown →
102
2 0
3
The applications of nature‐inspired algorithms in Internet of Things‐based healthcare service: A systematic literature reviewbreakdown →
67
4 0
5 2
6 51
7 7
8 0
9 13
10 3
11 3
12 1
13 11
14 46
15
Data Mining, an Approach for Developing the Health Domain
2
16
Presentation of a model-based data mining to predict lung cancer.
1
17
An Optimal Similarity Measure for Collaborative Filtering Using Firefly Algorithm
8
18 8
19 2
20 3

About Mansour Esmaeilpour

Mansour Esmaeilpour is a scholar working on Health Information Management, Computer Networks and Communications and Artificial Intelligence, having authored 25 papers that have together received 373 indexed citations. Recurring topics across this work include Spam and Phishing Detection (3 papers), EEG and Brain-Computer Interfaces (3 papers) and Image and Signal Denoising Methods (2 papers). The work is most often cited by research in Health Informatics (22 citations), Artificial Intelligence (171 citations) and Computer Networks and Communications (100 citations). Mansour Esmaeilpour has collaborated with scholars based in Iran, Malaysia and Taiwan. Frequent co-authors include Zahra Mohtasham‐Amiri, Arash Heidari, Nima Jafari Navimipour, Yalda Yazdani, Hassan Khotanlou, Mehdi Darbandi, Mehmet Ünal, José Ismael De la Rosa Vargas, S. A. R. Al-Haddad and Mohammad Ali Nematollahi. Their work appears in journals such as PLoS ONE, Sustainability and Neural Computing and Applications.

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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