Keivan Navi

7.2k total citations
301 papers, 5.8k citations indexed

About

Keivan Navi is a scholar working on Electrical and Electronic Engineering, Computational Theory and Mathematics and Biomedical Engineering. According to data from OpenAlex, Keivan Navi has authored 301 papers receiving a total of 5.8k indexed citations (citations by other indexed papers that have themselves been cited), including 232 papers in Electrical and Electronic Engineering, 136 papers in Computational Theory and Mathematics and 94 papers in Biomedical Engineering. Recurrent topics in Keivan Navi's work include Low-power high-performance VLSI design (139 papers), Quantum-Dot Cellular Automata (119 papers) and Advancements in Semiconductor Devices and Circuit Design (110 papers). Keivan Navi is often cited by papers focused on Low-power high-performance VLSI design (139 papers), Quantum-Dot Cellular Automata (119 papers) and Advancements in Semiconductor Devices and Circuit Design (110 papers). Keivan Navi collaborates with scholars based in Iran, United States and Australia. Keivan Navi's co-authors include Mohammad Hossein Moaiyeri, Samira Sayedsalehi, Shaahin Angizi, Reza Faghih Mirzaee, Nader Bagherzadeh, Omid Hashemipour, Sara Hashemi, Mostafa Rahimi Azghadi, Razieh Farazkish and Fazel Sharifi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.

In The Last Decade

Keivan Navi

293 papers receiving 5.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Keivan Navi Iran 40 5.0k 3.2k 1.4k 1.3k 736 301 5.8k
Michael Niemier United States 34 3.4k 0.7× 1.1k 0.4× 985 0.7× 172 0.1× 550 0.7× 189 4.0k
Mohammad Hossein Moaiyeri Iran 37 3.8k 0.8× 1.2k 0.4× 447 0.3× 1.0k 0.8× 299 0.4× 208 4.2k
Mehdi B. Tahoori Germany 39 5.6k 1.1× 674 0.2× 688 0.5× 349 0.3× 987 1.3× 491 6.7k
Mark Anders United States 29 1.9k 0.4× 278 0.1× 330 0.2× 330 0.3× 552 0.8× 143 3.0k
Hafizur Rahaman India 21 2.1k 0.4× 361 0.1× 107 0.1× 814 0.6× 583 0.8× 432 2.9k
Shaahin Angizi United States 29 2.2k 0.4× 1.2k 0.4× 730 0.5× 71 0.1× 370 0.5× 143 2.5k
Massimo Alioto Singapore 38 3.8k 0.8× 375 0.1× 141 0.1× 1.4k 1.1× 582 0.8× 302 4.7k
Takahiro Hanyu Japan 29 3.1k 0.6× 329 0.1× 1.4k 1.0× 328 0.3× 540 0.7× 329 4.0k
Martin Otto Germany 27 895 0.2× 471 0.1× 348 0.3× 707 0.6× 637 0.9× 103 2.3k
R.H. Dennard United States 31 7.1k 1.4× 129 0.0× 534 0.4× 943 0.7× 229 0.3× 103 7.7k

Countries citing papers authored by Keivan Navi

Since Specialization
Citations

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

Fields of papers citing papers by Keivan Navi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keivan Navi

This figure shows the co-authorship network connecting the top 25 collaborators of Keivan Navi. A scholar is included among the top collaborators of Keivan Navi 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 Keivan Navi. Keivan Navi 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.
Navi, Keivan, et al.. (2025). TMS-EEG evidence links random exploration to inhibitory mechanisms in the dorsolateral prefrontal cortex. Scientific Reports. 15(1). 15654–15654.
2.
Sabbaghi‐Nadooshan, Reza, et al.. (2022). Novel single-trit comparator circuits in ternary quantum-dot cellular automata. Analog Integrated Circuits and Signal Processing. 111(3). 353–370. 4 indexed citations
3.
Navi, Keivan, et al.. (2022). A low-power and robust quaternary SRAM cell for nanoelectronics. Analog Integrated Circuits and Signal Processing. 111(3). 483–493. 1 indexed citations
4.
Sabbaghi‐Nadooshan, Reza, et al.. (2022). Physical proof and design of ternary full adder circuit in ternary quantum‐dot cellular automata technology. International Journal of Numerical Modelling Electronic Networks Devices and Fields. 35(4). 5 indexed citations
5.
Sabbaghi‐Nadooshan, Reza, et al.. (2022). A novel design approach for T‐XOR gate in ternary quantum‐dot cellular automata circuits. International Journal of Numerical Modelling Electronic Networks Devices and Fields. 36(2). 3 indexed citations
6.
Sabbaghi‐Nadooshan, Reza, et al.. (2022). Novel ternary adders and subtractors in quantum cellular automata. The Journal of Supercomputing. 78(17). 18454–18496. 7 indexed citations
7.
Navi, Keivan, et al.. (2021). The nonlinear effect in the performance of 4:2 Compressor. International journal of nonlinear analysis and applications. 12(2). 1929–1945. 1 indexed citations
8.
Navi, Keivan, et al.. (2020). Ultra-Low Cost Full Adder Cell Using the nonlinear effect in Four-Input Quantum Dot Cellular Automata Majority Gate. International journal of nonlinear analysis and applications. 11(2). 1–16. 9 indexed citations
9.
Tabrizchi, Sepehr, et al.. (2020). Designing positive, negative and standard gates for ternary logics using quantum dot cellular automata. Computers & Electrical Engineering. 83. 106590–106590. 11 indexed citations
10.
Navi, Keivan, et al.. (2020). High‐speed energy efficient process, voltage and temperature tolerant hybrid multi‐threshold 4:2 compressor design in CNFET technology. IET Circuits Devices & Systems. 14(3). 357–368. 6 indexed citations
11.
Khosrowabadi, Reza, et al.. (2019). Classification of EEG-based motor imagery BCI by using ECOC. International journal of nonlinear analysis and applications. 10(2). 23–33. 1 indexed citations
12.
Navi, Keivan, et al.. (2019). Imprecise Minority-Based Full Adder for Approximate Computing Using CNFETs. International journal of nanoscience and nanotechnology. 15(4). 239–248. 2 indexed citations
13.
Mirzaee, Reza Faghih, et al.. (2017). A Single Parity-Check Digit for One Trit Error Detection in Ternary Communication Systems: Gate-Level and Transistor-Level Designs.. 29. 303–326. 8 indexed citations
14.
Reshadinezhad, Mohammad Reza, et al.. (2015). Design and Implementation of a Three-operand Multiplier through Carbon Nanotube Technology. International Journal of Modern Education and Computer Science. 7(9). 44–51. 6 indexed citations
15.
Zomorodi‐Moghadam, Mariam, et al.. (2014). A novel reversible design for double edge triggered flip-flops and new designs of reversible sequential circuits.. Computer Systems: Science & Engineering. 29. 2 indexed citations
16.
Navi, Keivan, et al.. (2014). On the Design of RNS Bases for Modular Multiplication.. International journal of network security. 16. 118–128. 1 indexed citations
17.
Kianpour, Moein, Reza Sabbaghi‐Nadooshan, & Keivan Navi. (2014). A novel design of 8-bit adder/subtractor by quantum-dot cellular automata. Journal of Computer and System Sciences. 80(7). 1404–1414. 93 indexed citations
18.
Hashemi, Sara, et al.. (2012). An efficient quantum-dot cellular automata full-adder. Scientific Research and Essays. 7(2). 177–189. 91 indexed citations
19.
Molahosseini, Amir Sabbagh, Keivan Navi, Chitra Dadkhah, Omid Kavehei, & Somayeh Timarchi. (2010). Efficient reverse converter designs for the new 4-moduli sets {2n - 1, 2n, 2n + 1, 22n+1 - 1} and {2n - 1, 2n + 1, 22n, 22n + 1} based on new CRTs. Figshare. 8 indexed citations
20.
Molahosseini, Amir Sabbagh & Keivan Navi. (2007). New Arithmetic Residue to Binary Converters. 14 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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