M. Shams

31 total papers · 441 total citations
23 papers, 304 citations indexed

About

M. Shams is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Hardware and Architecture. According to data from OpenAlex, M. Shams has authored 23 papers receiving a total of 304 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Electrical and Electronic Engineering, 10 papers in Biomedical Engineering and 3 papers in Hardware and Architecture. Recurrent topics in M. Shams's work include Low-power high-performance VLSI design (18 papers), Advancements in Semiconductor Devices and Circuit Design (12 papers) and Analog and Mixed-Signal Circuit Design (9 papers). M. Shams is often cited by papers focused on Low-power high-performance VLSI design (18 papers), Advancements in Semiconductor Devices and Circuit Design (12 papers) and Analog and Mixed-Signal Circuit Design (9 papers). M. Shams collaborates with scholars based in Canada, United States and Saudi Arabia. M. Shams's co-authors include M.I. Elmasry, Jo Ebergen, Muhammad Arsalan, Langis Roy, Atif Shamim, N. G. Tarr, Bashir I. Morshed, Tofy Mussivand, M. Elmasry and Arokia Nathan and has published in prestigious journals such as Electronics Letters, IEEE Microwave and Wireless Components Letters and IEEE Transactions on Very Large Scale Integration (VLSI) Systems.

In The Last Decade

M. Shams

22 papers receiving 282 citations

Author Peers

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

Author Last Decade Papers Cites
M. Shams 265 86 81 29 26 23 304
Chung-Hsun Huang 262 1.0× 174 2.0× 79 1.0× 39 1.3× 27 1.0× 29 330
Haroon Waris 251 0.9× 84 1.0× 88 1.1× 53 1.8× 41 1.6× 16 285
Martin Andraud 190 0.7× 114 1.3× 41 0.5× 6 0.2× 18 0.7× 25 217
Daniel S. Truesdell 271 1.0× 117 1.4× 14 0.2× 16 0.6× 51 2.0× 30 307
Jan A. Rajchman 164 0.6× 27 0.3× 26 0.3× 25 0.9× 25 1.0× 23 275
M. Matsui 235 0.9× 96 1.1× 88 1.1× 22 0.8× 11 0.4× 33 328
Minah Lee 195 0.7× 22 0.3× 82 1.0× 22 0.8× 41 1.6× 35 264
Holger Eisenreich 239 0.9× 45 0.5× 52 0.6× 9 0.3× 21 0.8× 22 274
Gicheol Shin 268 1.0× 42 0.5× 47 0.6× 18 0.6× 13 0.5× 17 298
M.I. Ferguson 153 0.6× 56 0.7× 40 0.5× 33 1.1× 139 5.3× 27 279

Countries citing papers authored by M. Shams

Since Specialization
Citations

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

Fields of papers citing papers by M. Shams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Shams

This figure shows the co-authorship network connecting the top 25 collaborators of M. Shams. A scholar is included among the top collaborators of M. Shams 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 M. Shams. M. Shams 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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