Saad Pervaiz

39 total papers · 915 total citations
38 papers, 792 citations indexed

About

Saad Pervaiz is a scholar working on Electrical and Electronic Engineering, Automotive Engineering and Control and Systems Engineering. According to data from OpenAlex, Saad Pervaiz has authored 38 papers receiving a total of 792 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Electrical and Electronic Engineering, 5 papers in Automotive Engineering and 5 papers in Control and Systems Engineering. Recurrent topics in Saad Pervaiz's work include Advanced DC-DC Converters (27 papers), Multilevel Inverters and Converters (22 papers) and Silicon Carbide Semiconductor Technologies (18 papers). Saad Pervaiz is often cited by papers focused on Advanced DC-DC Converters (27 papers), Multilevel Inverters and Converters (22 papers) and Silicon Carbide Semiconductor Technologies (18 papers). Saad Pervaiz collaborates with scholars based in United States and Pakistan. Saad Pervaiz's co-authors include Khurram K. Afridi, Ashish Kumar, Hassan Abbas Khan, Sreyam Sinha, Brandon Regensburger, Zoya Popović, Kate Doubleday, Nauman Ahmad Zaffar, Minjie Chen and Ashish Kumar and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, IEEE Transactions on Power Electronics and IEEE Transactions on Industry Applications.

In The Last Decade

Saad Pervaiz

38 papers receiving 779 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Saad Pervaiz 707 205 86 66 56 38 792
Sascha Stegen 630 0.9× 353 1.7× 117 1.4× 68 1.0× 66 1.2× 34 796
Filippo Pellitteri 702 1.0× 378 1.8× 53 0.6× 64 1.0× 45 0.8× 64 811
Masood Moghaddami 758 1.1× 221 1.1× 255 3.0× 91 1.4× 20 0.4× 39 845
Xinmei Yuan 582 0.8× 404 2.0× 39 0.5× 128 1.9× 43 0.8× 35 744
Mingxuan Li 553 0.8× 68 0.3× 138 1.6× 63 1.0× 24 0.4× 29 688
Aditya Shekhar 713 1.0× 231 1.1× 244 2.8× 48 0.7× 19 0.3× 78 839
Ashish Kumar Karmaker 441 0.6× 289 1.4× 69 0.8× 98 1.5× 44 0.8× 30 656
Raluca‐Andreea Felseghi 336 0.5× 182 0.9× 38 0.4× 161 2.4× 48 0.9× 32 661
G. Schettino 653 0.9× 140 0.7× 209 2.4× 123 1.9× 37 0.7× 86 783
Antonino Genovese 541 0.8× 505 2.5× 99 1.2× 41 0.6× 22 0.4× 39 651

Countries citing papers authored by Saad Pervaiz

Since Specialization
Citations

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

Fields of papers citing papers by Saad Pervaiz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saad Pervaiz

This figure shows the co-authorship network connecting the top 25 collaborators of Saad Pervaiz. A scholar is included among the top collaborators of Saad Pervaiz 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 Saad Pervaiz. Saad Pervaiz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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