Matin Pirouz

699 citations
34 papers · 482 indexed · h-index 13
Topics
Data Mining Algorithms and Applications (9 papers)Complex Network Analysis Techniques (7 papers)Imbalanced Data Classification Techniques (6 papers)
Journals
SHILAP Revista de lepidopterologíaIEEE AccessIEEE Sensors Journal
Partner nations
United StatesChinaNorway

In The Last Decade

Matin Pirouz

33 papers receiving 455 citations

Peers

Matin Pirouz
Comparison fields: 5 of 75
  • Artificial Intelligence 200
  • Information Systems 183
  • Cognitive Neuroscience 84
  • Computational Theory and Mathematics 81
  • Experimental and Cognitive Psychology 76
Replace Yihong Dong with:
Yihong Dong China
Wei‐Chuen Yau Malaysia
Mohamed El Bachir Menaï Saudi Arabia
Eisaku Maeda Japan
Imad Fakhri Taha Alshaikhli Malaysia
Young-Tack Park South Korea
Dipankar Das India
Ilya Makarov Russia
Dawei Zhou United States
Su Zhang China
Matin Pirouz relative to Yihong Dong China Yihong Dong's profile →
Citations per field
00.5×10×15×20×23×
Yihong Dong · 1×
Citations per year

Countries citing papers authored by Matin Pirouz

Since Specialization
Citations

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

Fields of papers citing papers by Matin Pirouz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matin Pirouz

This figure shows the co-authorship network connecting the top 25 collaborators of Matin Pirouz. A scholar is included among the top collaborators of Matin Pirouz 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 Matin Pirouz. Matin Pirouz 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 1
2 16
3 4
4 4
5 0
6 3
7 1
8 3
9 41
10 3
11 37
12 7
13 14
14 2
15 18
16 18
17 6
18 17
19 13
20 4

About Matin Pirouz

Matin Pirouz is a scholar working on Information Systems, Statistical and Nonlinear Physics and Signal Processing, having authored 34 papers that have together received 482 indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (9 papers), Complex Network Analysis Techniques (7 papers) and Imbalanced Data Classification Techniques (6 papers). The work is most often cited by research in Information Systems (183 citations), Signal Processing (67 citations) and Artificial Intelligence (200 citations). Matin Pirouz has collaborated with scholars based in United States, China and Norway. Frequent co-authors include Jerry Chun‐Wei Lin, Justin Zhan, Shahab Tayeb, Philippe Fournier‐Viger, Jimmy Ming‐Tai Wu, Gautam Srivastava, Shahram Latifi, Yujie Zhou, Hsing‐Chung Chen and Yinan Shao. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and IEEE Sensors Journal.

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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