Mark Tehranipoor

2.8k citations
104 papers · 1.7k · h-index 24

Impact in

Papers in

Mark Tehranipoor

99 papers receiving 1.6k citations

Peers

Mark Tehranipoor
Comparison fields: 5 of 55
  • Hardware and Architecture 1.4k
  • Signal Processing 223
  • Electrical and Electronic Engineering 1.2k
  • Artificial Intelligence 476
  • Cellular and Molecular Neuroscience 251
Replace Pramod Subramanyan with:
Pramod Subramanyan United States
Anirban Sengupta India
Nozomu Togawa Japan
Christian Pilato Italy
Fahim Rahman United States
Jiliang Zhang China
Farimah Farahmandi United States
Selçuk Baktır Türkiye
Jeyavijayan Rajendran United States
Jim Plusquellic United States
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Citations per field
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Pramod Subramanyan · 1×
Citations per year

Countries citing papers authored by Mark Tehranipoor

Since Specialization
Citations

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

Fields of papers citing papers by Mark Tehranipoor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mark Tehranipoor, 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 Mark Tehranipoor Line = papers co-authored together Mark Tehranipoor links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 104 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005113
2 201186
3 200670
4 201767
5 201462
6 201753
7 201752
8 201552
9 202143
10 201841
11 201941
12 200538
13 201737
14 200536
15 201836
16 202132
17 201832
18 201631
19 201931
20 201729

About Mark Tehranipoor

Mark Tehranipoor is a scholar working on Hardware and Architecture, Electrical and Electronic Engineering, Artificial Intelligence, Cellular and Molecular Neuroscience and Signal Processing, having authored 104 papers that have together received 1.7k indexed citations. Recurring topics across this work include Physical Unclonable Functions (PUFs) and Hardware Security (74 papers), Integrated Circuits and Semiconductor Failure Analysis (60 papers), VLSI and Analog Circuit Testing (31 papers), Security and Verification in Computing (22 papers), Neuroscience and Neural Engineering (19 papers), Cryptographic Implementations and Security (16 papers), Low-power high-performance VLSI design (8 papers) and Advanced Memory and Neural Computing (8 papers). The work is most often cited by research in Hardware and Architecture (1.4k citations), Signal Processing (223 citations), Electrical and Electronic Engineering (1.2k citations), Artificial Intelligence (476 citations) and Cellular and Molecular Neuroscience (251 citations). Mark Tehranipoor has collaborated with scholars based in United States, Japan and France. Frequent co-authors include Domenic Forte, Farimah Farahmandi, Swarup Bhunia, Mehrdad Nourani, Fahim Rahman, Xuehui Zhang, Nisar Ahmed, Krishnendu Chakrabarty, Prabhat Mishra and Jim Plusquellic. Their work appears in journals such as IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, IEEE Transactions on Very Large Scale Integration (VLSI) Systems, IEEE Design and Test, ACM Transactions on Design Automation of Electronic Systems and ACM Journal on Emerging Technologies in Computing Systems.

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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