M. Sami

801 citations
42 papers · 549 · h-index 12

Impact in

Papers in

M. Sami

35 papers receiving 509 citations

Peers

M. Sami
Comparison fields: 5 of 49
  • Hardware and Architecture 335
  • Computer Networks and Communications 203
  • Electrical and Electronic Engineering 313
  • Computational Theory and Mathematics 56
  • Artificial Intelligence 113
Replace Sied Mehdi Fakhraie with:
Sied Mehdi Fakhraie Iran
Behnam Ghavami Iran
Kaushik Ravindran United States
C.P. Ravikumar India
Shlomo Weiss Israel
Luca Cassano Italy
K. Whisnant United States
Yuanrui Zhang United States
W.H. Wolf United States
S.S. Lumetta United States
M. Sami relative to Sied Mehdi Fakhraie Iran Sied Mehdi Fakhraie's profile →
Citations per field
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Sied Mehdi Fakhraie · 1×
Citations per year

Countries citing papers authored by M. Sami

Since Specialization
Citations

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

Fields of papers citing papers by M. Sami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside M. Sami, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with M. Sami Line = papers co-authored together M. Sami links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1986124
2 199559
3 196948
4 200043
5 200232
6 200231
7 200224
8 200117
9 199114
10 200213
11 200212
12 200211
13 200411
14 200311
15 200210
16 20028
17 20028
18 20057
19 20027
20 19987

About M. Sami

M. Sami is a scholar working on Electrical and Electronic Engineering, Hardware and Architecture, Artificial Intelligence, Computer Networks and Communications and Management Information Systems, having authored 42 papers that have together received 549 indexed citations. Recurring topics across this work include Embedded Systems Design Techniques (19 papers), Parallel Computing and Optimization Techniques (13 papers), Low-power high-performance VLSI design (13 papers), Radiation Effects in Electronics (12 papers), Advanced Memory and Neural Computing (8 papers), VLSI and Analog Circuit Testing (6 papers), Neural Networks and Applications (6 papers) and Interconnection Networks and Systems (5 papers). The work is most often cited by research in Hardware and Architecture (335 citations), Computer Networks and Communications (203 citations), Electrical and Electronic Engineering (313 citations), Computational Theory and Mathematics (56 citations) and Artificial Intelligence (113 citations). M. Sami has collaborated with scholars based in Italy, Finland and Switzerland. Frequent co-authors include R. Stefanelli, Vincenzo Piuri, Donatella Sciuto, Cristina Silvano, Vittorio Zaccaria, Fabrizio Luccio, Cesare Alippi, R. Zafalon, Fabrizio Ferrandi and Fabio Salice. Their work appears in journals such as IEEE Transactions on Very Large Scale Integration (VLSI) Systems, Proceedings of the IEEE, IEEE Transactions on Reliability, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems and IEEE Transactions on Computers.

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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