Ebrahim M. Songhori

1.8k citations
23 papers · 851 indexed · 1 hit paper · h-index 11
Topics
Cryptography and Data Security (7 papers)Sparse and Compressive Sensing Techniques (5 papers)Embedded Systems Design Techniques (5 papers)
Journals
NatureSHILAP Revista de lepidopterologíaIEEE Transactions on Neural Networks and Learning Systems
Partner nations
United StatesGermany

In The Last Decade

Ebrahim M. Songhori

20 papers receiving 817 citations

Hit Papers

A graph placement methodology for fast chip design20212026202220242021100200300

Peers

Ebrahim M. Songhori
Comparison fields: 5 of 76
  • Artificial Intelligence 465
  • Electrical and Electronic Engineering 302
  • Hardware and Architecture 141
  • Computer Networks and Communications 111
  • Computer Vision and Pattern Recognition 83
Replace Azalia Mirhoseini with:
Azalia Mirhoseini United States
Jiacheng Yang China
Xuefei Ning China
Long Zheng China
Robert Adolf United States
Suyog Gupta United States
Hadi Shahriar Shahhoseini Iran
Chugui Xu China
Amir Sabbagh Molahosseini Iran
Ebrahim M. Songhori relative to Azalia Mirhoseini United States Azalia Mirhoseini's profile →
Citations per field
00.5×1.5×
Azalia Mirhoseini · 1×
Citations per year

Countries citing papers authored by Ebrahim M. Songhori

Since Specialization
Citations

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

Fields of papers citing papers by Ebrahim M. Songhori

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ebrahim M. Songhori

This figure shows the co-authorship network connecting the top 25 collaborators of Ebrahim M. Songhori. A scholar is included among the top collaborators of Ebrahim M. Songhori 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 Ebrahim M. Songhori. Ebrahim M. Songhori 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
#WorkIndexed citations
1 3
2
A graph placement methodology for fast chip designbreakdown →
312
3 5
4 227
5 5
6 0
7 8
8 11
9
Automated Analysis of Streaming Big and Dense Data on Reconfigurable Platforms
1
10 4
11 12
12 2
13 22
14 21
15 1
16 113
17 0
18 15
19 55
20 10

About Ebrahim M. Songhori

Ebrahim M. Songhori is a scholar working on Hardware and Architecture, Architecture and Artificial Intelligence, having authored 23 papers that have together received 851 indexed citations. Recurring topics across this work include Cryptography and Data Security (7 papers), Sparse and Compressive Sensing Techniques (5 papers) and Embedded Systems Design Techniques (5 papers). The work is most often cited by research in Hardware and Architecture (141 citations), Artificial Intelligence (465 citations) and Computational Mathematics (4 citations). Ebrahim M. Songhori has collaborated with scholars based in United States and Germany. Frequent co-authors include Farinaz Koushanfar, Thomas Schneider, Azalia Mirhoseini, M. Sadegh Riazi, Christian Weinert, Oleksandr Tkachenko, Ahmad‐Reza Sadeghi, Siam U. Hussain, Young‐Joon Lee and Joe Wenjie Jiang. Their work appears in journals such as Nature, SHILAP Revista de lepidopterología and IEEE Transactions on Neural Networks and Learning 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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