Mohammad Pazoki

1.4k total citations
55 papers, 1.0k citations indexed

About

Mohammad Pazoki is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Artificial Intelligence. According to data from OpenAlex, Mohammad Pazoki has authored 55 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Electrical and Electronic Engineering, 47 papers in Control and Systems Engineering and 3 papers in Artificial Intelligence. Recurrent topics in Mohammad Pazoki's work include Power Systems Fault Detection (42 papers), Islanding Detection in Power Systems (29 papers) and HVDC Systems and Fault Protection (18 papers). Mohammad Pazoki is often cited by papers focused on Power Systems Fault Detection (42 papers), Islanding Detection in Power Systems (29 papers) and HVDC Systems and Fault Protection (18 papers). Mohammad Pazoki collaborates with scholars based in Iran, India and Egypt. Mohammad Pazoki's co-authors include Zahra Moravej, Anamika Yadav, Bokka Krishna Chaitanya, Mojtaba Khederzadeh, Ali Akbar Abdoos, Praveen Kumar Mishra, Almoataz Y. Abdelaziz, Ragab A. El‐Sehiemy, Nirmal‐Kumar C. Nair and Mohsen Niasati and has published in prestigious journals such as IEEE Access, IEEE Transactions on Industrial Informatics and IEEE Transactions on Power Delivery.

In The Last Decade

Mohammad Pazoki

53 papers receiving 1.0k citations

Peers

Mohammad Pazoki
Comparison fields: 5 of 63
  • Electrical and Electronic Engineering 938
  • Control and Systems Engineering 824
  • Safety, Risk, Reliability and Quality 87
  • Artificial Intelligence 43
  • Mechanical Engineering 37
Replace Jyh‐Cherng Gu with:
Jyh‐Cherng Gu Taiwan
Zahra Moravej Iran
Seyyed Ghodratollah Seifossadat Iran
Paulo Márcio da Silveira Brazil
Jako Kilter Estonia
Ameen Gargoom Australia
Núbia Silva Dantas Brito Brazil
Chun Huang China
Hüseyin Erişti Türkiye
Paresh Kumar Nayak India
Jyh‐Cherng Gu Taiwan View profile →
Citations per field, relative to Mohammad Pazoki
Mohammad Pazoki · 1×
Citations per year, relative to Mohammad Pazoki
Mohammad Pazoki · 1×

Countries citing papers authored by Mohammad Pazoki

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad Pazoki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammad Pazoki

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Pazoki. A scholar is included among the top collaborators of Mohammad Pazoki 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 Pazoki. Mohammad Pazoki 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
# Work Indexed citations
1 0
2 7
3 1
4 2
5 19
6 9
7 32
8 8
9 4
10 7
11 31
12 25
13 4
14 60
15 22
16 9
17 2
18 20
19 3
20 28

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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