Saeed Haghiri

653 total citations
21 papers, 509 citations indexed

About

Saeed Haghiri is a scholar working on Electrical and Electronic Engineering, Cognitive Neuroscience and Cellular and Molecular Neuroscience. According to data from OpenAlex, Saeed Haghiri has authored 21 papers receiving a total of 509 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Electrical and Electronic Engineering, 12 papers in Cognitive Neuroscience and 10 papers in Cellular and Molecular Neuroscience. Recurrent topics in Saeed Haghiri's work include Advanced Memory and Neural Computing (15 papers), Neural dynamics and brain function (12 papers) and Neuroscience and Neural Engineering (10 papers). Saeed Haghiri is often cited by papers focused on Advanced Memory and Neural Computing (15 papers), Neural dynamics and brain function (12 papers) and Neuroscience and Neural Engineering (10 papers). Saeed Haghiri collaborates with scholars based in Iran, Canada and Australia. Saeed Haghiri's co-authors include Arash Ahmadi, Mohsen Hayati, Derek Abbott, Ali Naderi, Mohammad Imani, Behzad Ghanbari, Abdulhamid Zahedi, Farzin Shama, Muhammad Akmal Chaudhary and Maher Assaad and has published in prestigious journals such as IEEE Access, IEEE Transactions on Neural Systems and Rehabilitation Engineering and IEEE Transactions on Circuits and Systems I Regular Papers.

In The Last Decade

Saeed Haghiri

21 papers receiving 503 citations

Author Peers

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

Author Last Decade Papers Cites
Saeed Haghiri 361 254 207 142 110 21 509
Ahmet Şamil Demirkol 448 1.2× 227 0.9× 82 0.4× 172 1.2× 205 1.9× 59 595
Zubaer Ibna Mannan 318 0.9× 213 0.8× 97 0.5× 93 0.7× 195 1.8× 15 508
Guillaume Lajoie 91 0.3× 239 0.9× 136 0.7× 75 0.5× 46 0.4× 28 360
Morteza Alamgir 99 0.3× 342 1.3× 80 0.4× 122 0.9× 35 0.3× 10 481
Mohammad Bavandpour 401 1.1× 164 0.6× 138 0.7× 138 1.0× 30 0.3× 18 453
Soheila Nazari 249 0.7× 247 1.0× 92 0.4× 166 1.2× 28 0.3× 39 350
Farnood Merrikh-Bayat 627 1.7× 109 0.4× 153 0.7× 267 1.9× 58 0.5× 15 689
Stefan Schliebs 402 1.1× 320 1.3× 333 1.6× 103 0.7× 15 0.1× 14 621
Olga Krestinskaya 615 1.7× 182 0.7× 192 0.9× 207 1.5× 27 0.2× 41 719
Sabir Jacquir 91 0.3× 284 1.1× 30 0.1× 104 0.7× 116 1.1× 56 532

Countries citing papers authored by Saeed Haghiri

Since Specialization
Citations

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

Fields of papers citing papers by Saeed Haghiri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saeed Haghiri

This figure shows the co-authorship network connecting the top 25 collaborators of Saeed Haghiri. A scholar is included among the top collaborators of Saeed Haghiri 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 Saeed Haghiri. Saeed Haghiri 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.
Hayati, Mohsen, et al.. (2024). Exploring Hybrid FitzHugh-Rinzel (FHR) Neuron Model Behavior: Cost-Effective FPGA Implementation for High-Frequency and High-Precision Matching by Electromagnetic Flux Effects. IEEE Transactions on Circuits and Systems I Regular Papers. 72(2). 844–853. 1 indexed citations
2.
Islam, Mohammad Tariqul, et al.. (2023). FPGA Implementation of Nerve Cell Using Izhikevich Neuronal Model as Spike Generator (SG). IEEE Access. 12. 2303–2312. 13 indexed citations
3.
Haghiri, Saeed, et al.. (2023). Investigation on Vision System: Digital FPGA Implementation in Case of Retina Rod Cells. IEEE Transactions on Biomedical Circuits and Systems. 18(2). 299–307. 16 indexed citations
4.
Naderi, Ali, et al.. (2023). Digital Hardware Implementation of Morris-Lecar, Izhikevich, and Hodgkin-Huxley Neuron Models With High Accuracy and Low Resources. IEEE Transactions on Circuits and Systems I Regular Papers. 70(11). 4447–4455. 32 indexed citations
5.
Haghiri, Saeed, Salah I. Yahya, Abbas Rezaei, & Arash Ahmadi. (2023). Multiplierless Implementation of Fitz-Hugh Nagumo (FHN) Modeling Using CORDIC Approach. IEEE Transactions on Emerging Topics in Computational Intelligence. 8(1). 279–287. 10 indexed citations
6.
Naderi, Ali, et al.. (2023). Efficient Digital Realization of Endocrine Pancreatic $\beta$-Cells. IEEE Transactions on Biomedical Circuits and Systems. 17(2). 246–256. 23 indexed citations
7.
Naderi, Ali, et al.. (2021). An Efficient Digital Realization of Retinal Light Adaptation in Cone Photoreceptors. IEEE Transactions on Circuits and Systems I Regular Papers. 68(12). 5072–5080. 26 indexed citations
8.
Haghiri, Saeed & Arash Ahmadi. (2020). Digital FPGA implementation of spontaneous astrocyte signalling. International Journal of Circuit Theory and Applications. 48(5). 709–723. 12 indexed citations
9.
Haghiri, Saeed, Ali Naderi, Behzad Ghanbari, & Arash Ahmadi. (2020). High Speed and Low Digital Resources Implementation of Hodgkin-Huxley Neuronal Model Using Base-2 Functions. IEEE Transactions on Circuits and Systems I Regular Papers. 68(1). 275–287. 36 indexed citations
10.
11.
Zahedi, Abdulhamid, Saeed Haghiri, & Mohsen Hayati. (2019). Multiplierless Digital Implementation of Time-Varying FitzHugh–Nagumo Model. IEEE Transactions on Circuits and Systems I Regular Papers. 66(7). 2662–2670. 25 indexed citations
12.
Imani, Mohammad, et al.. (2019). Ultra-Miniaturized Wilkinson Power Divider with Harmonics Suppression for Wireless Applications. Journal of Electromagnetic Waves and Applications. 33(14). 1920–1932. 9 indexed citations
13.
Haghiri, Saeed & Arash Ahmadi. (2019). A Novel Digital Realization of AdEx Neuron Model. IEEE Transactions on Circuits & Systems II Express Briefs. 67(8). 1444–1448. 20 indexed citations
14.
Haghiri, Saeed, Abdulhamid Zahedi, Ali Naderi, & Arash Ahmadi. (2018). Multiplierless Implementation of Noisy Izhikevich Neuron With Low-Cost Digital Design. IEEE Transactions on Biomedical Circuits and Systems. 12(6). 1422–1430. 42 indexed citations
15.
Imani, Mohammad, et al.. (2018). Digital Multiplierless Realization of Coupled Wilson Neuron Model. IEEE Transactions on Biomedical Circuits and Systems. 12(6). 1431–1439. 39 indexed citations
16.
Haghiri, Saeed, Ali Nemati, Soheil Feizi, et al.. (2017). A memristor based binary multiplier. 1–4. 8 indexed citations
17.
Nemati, Ali, Soheil Feizi, Arash Ahmadi, et al.. (2015). An efficient hardware implementation of few lightweight block cipher. 273–278. 5 indexed citations
18.
Hayati, Mohsen, et al.. (2015). A Digital Realization of Astrocyte and Neural Glial Interactions. IEEE Transactions on Biomedical Circuits and Systems. 10(2). 518–529. 45 indexed citations
19.
Hayati, Mohsen, et al.. (2015). Digital Multiplierless Realization of Two Coupled Biological Morris-Lecar Neuron Model. IEEE Transactions on Circuits and Systems I Regular Papers. 62(7). 1805–1814. 61 indexed citations
20.
Hayati, Mohsen, et al.. (2015). Digital Multiplierless Realization of Two-Coupled Biological Hindmarsh–Rose Neuron Model. IEEE Transactions on Circuits & Systems II Express Briefs. 63(5). 463–467. 47 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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