Ebrahim M. Songhori

1.8k total citations · 1 hit paper
23 papers, 851 citations indexed

About

Ebrahim M. Songhori is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Hardware and Architecture. According to data from OpenAlex, Ebrahim M. Songhori has authored 23 papers receiving a total of 851 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 11 papers in Electrical and Electronic Engineering and 7 papers in Hardware and Architecture. Recurrent topics in Ebrahim M. Songhori's work include Cryptography and Data Security (7 papers), Sparse and Compressive Sensing Techniques (5 papers) and Embedded Systems Design Techniques (5 papers). Ebrahim M. Songhori is often cited by papers focused on Cryptography and Data Security (7 papers), Sparse and Compressive Sensing Techniques (5 papers) and Embedded Systems Design Techniques (5 papers). Ebrahim M. Songhori collaborates with scholars based in United States and Germany. Ebrahim M. Songhori's co-authors include Farinaz Koushanfar, Thomas Schneider, Azalia Mirhoseini, M. Sadegh Riazi, Christian Weinert, Oleksandr Tkachenko, Ahmad‐Reza Sadeghi, Siam U. Hussain, Joe Wenjie Jiang and Young‐Joon Lee and has published in prestigious journals such as Nature, SHILAP Revista de lepidopterología and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Ebrahim M. Songhori

20 papers receiving 817 citations

Hit Papers

A graph placement methodo... 2021 2026 2022 2024 2021 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ebrahim M. Songhori United States 11 465 302 141 111 83 23 851
Azalia Mirhoseini United States 13 313 0.7× 480 1.6× 297 2.1× 181 1.6× 174 2.1× 42 962
Xuefei Ning China 13 281 0.6× 420 1.4× 123 0.9× 62 0.6× 184 2.2× 44 737
Jiacheng Yang China 9 368 0.8× 176 0.6× 62 0.4× 183 1.6× 213 2.6× 23 682
Da-Cheng Juan United States 18 349 0.8× 326 1.1× 234 1.7× 175 1.6× 169 2.0× 48 844
Amir Sabbagh Molahosseini Iran 15 480 1.0× 290 1.0× 86 0.6× 152 1.4× 110 1.3× 59 927
L.M. Patnaik India 13 206 0.4× 160 0.5× 83 0.6× 405 3.6× 126 1.5× 95 814
Divya Mahajan United States 13 213 0.5× 536 1.8× 380 2.7× 205 1.8× 266 3.2× 31 873
Suyog Gupta United States 8 426 0.9× 270 0.9× 110 0.8× 106 1.0× 456 5.5× 8 835
Lukáš Malina Czechia 13 345 0.7× 180 0.6× 46 0.3× 284 2.6× 104 1.3× 86 701
Hadi Shahriar Shahhoseini Iran 16 156 0.3× 151 0.5× 166 1.2× 292 2.6× 66 0.8× 92 579

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
1.
Goldie, Anna, Azalia Mirhoseini, Mustafa Ege Yazgan, et al.. (2024). Addendum: A graph placement methodology for fast chip design. Nature. 634(8034). E10–E11. 3 indexed citations
2.
Mirhoseini, Azalia, Anna Goldie, Mustafa Ege Yazgan, et al.. (2021). A graph placement methodology for fast chip design. Nature. 594(7862). 207–212. 312 indexed citations breakdown →
3.
Jiang, Zixuan, Ebrahim M. Songhori, Shen Wang, et al.. (2021). Delving into Macro Placement with Reinforcement Learning. 1–3. 7 indexed citations
4.
Songhori, Ebrahim M., M. Sadegh Riazi, Siam U. Hussain, Ahmad‐Reza Sadeghi, & Farinaz Koushanfar. (2019). ARM2GC. 1–6. 5 indexed citations
5.
Riazi, M. Sadegh, Christian Weinert, Oleksandr Tkachenko, et al.. (2018). Chameleon. 707–721. 227 indexed citations
6.
Riazi, M. Sadegh, Ebrahim M. Songhori, & Farinaz Koushanfar. (2017). PriSearch. 1–6. 5 indexed citations
7.
Mirhoseini, Azalia, Bita Darvish Rouhani, Ebrahim M. Songhori, & Farinaz Koushanfar. (2016). Perform-ML. 1–6. 11 indexed citations
8.
Rouhani, Bita Darvish, Azalia Mirhoseini, Ebrahim M. Songhori, & Farinaz Koushanfar. (2016). Automated Analysis of Streaming Big and Dense Data on Reconfigurable Platforms. 1 indexed citations
9.
Rouhani, Bita Darvish, Azalia Mirhoseini, Ebrahim M. Songhori, & Farinaz Koushanfar. (2016). Automated Real-Time Analysis of Streaming Big and Dense Data on Reconfigurable Platforms. ACM Transactions on Reconfigurable Technology and Systems. 10(1). 1–22. 8 indexed citations
10.
Riazi, M. Sadegh, Ebrahim M. Songhori, Ahmad‐Reza Sadeghi, Thomas Schneider, & Farinaz Koushanfar. (2016). Toward Practical Secure Stable Matching. SHILAP Revista de lepidopterología. 2017(1). 62–78. 4 indexed citations
11.
Songhori, Ebrahim M., Shaza Zeitouni, Ghada Dessouky, et al.. (2016). GarbledCPU. TUbilio (Technical University of Darmstadt). 1–6. 14 indexed citations
12.
Mirhoseini, Azalia, Ebrahim M. Songhori, Bita Darvish Rouhani, & Farinaz Koushanfar. (2015). Flexible Transformations For Learning Big Data. 453–454. 2 indexed citations
13.
Rouhani, Bita Darvish, Ebrahim M. Songhori, Azalia Mirhoseini, & Farinaz Koushanfar. (2015). SSketch: An Automated Framework for Streaming Sketch-Based Analysis of Big Data on FPGA. 187–194. 21 indexed citations
14.
Songhori, Ebrahim M., Siam U. Hussain, Ahmad‐Reza Sadeghi, & Farinaz Koushanfar. (2015). Compacting privacy-preserving k-nearest neighbor search using logic synthesis. 1–6. 22 indexed citations
15.
Songhori, Ebrahim M., et al.. (2015). AHEAD: Automated Framework for Hardware Accelerated Iterative Data Analysis. Design, Automation & Test in Europe Conference & Exhibition (DATE), 2015. 942–947.
16.
Mirhoseini, Azalia, Ebrahim M. Songhori, Bita Darvish Rouhani, & Farinaz Koushanfar. (2015). Flexible Transformations For Learning Big Data. ACM SIGMETRICS Performance Evaluation Review. 43(1). 453–454. 1 indexed citations
17.
Songhori, Ebrahim M., Siam U. Hussain, Ahmad‐Reza Sadeghi, Thomas Schneider, & Farinaz Koushanfar. (2015). TinyGarble: Highly Compressed and Scalable Sequential Garbled Circuits. TUbilio (Technical University of Darmstadt). 411–428. 113 indexed citations
18.
Mirhoseini, Azalia, Ebrahim M. Songhori, & Farinaz Koushanfar. (2013). Automated checkpointing for enabling intensive applications on energy harvesting devices. 27–32. 15 indexed citations
19.
Mirhoseini, Azalia, Ebrahim M. Songhori, & Farinaz Koushanfar. (2013). Idetic: A high-level synthesis approach for enabling long computations on transiently-powered ASICs. 216–224. 55 indexed citations
20.
Mirhoseini, Azalia, Ebrahim M. Songhori, & Farinaz Koushanfar. (2013). Automated checkpointing for enabling intensive applications on energy harvesting devices. 27–32. 10 indexed citations

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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