Elnaz Akbari

1.5k total citations
80 papers, 1.2k citations indexed

About

Elnaz Akbari is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Biomedical Engineering. According to data from OpenAlex, Elnaz Akbari has authored 80 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Electrical and Electronic Engineering, 45 papers in Materials Chemistry and 20 papers in Biomedical Engineering. Recurrent topics in Elnaz Akbari's work include Graphene research and applications (36 papers), Gas Sensing Nanomaterials and Sensors (27 papers) and Carbon Nanotubes in Composites (17 papers). Elnaz Akbari is often cited by papers focused on Graphene research and applications (36 papers), Gas Sensing Nanomaterials and Sensors (27 papers) and Carbon Nanotubes in Composites (17 papers). Elnaz Akbari collaborates with scholars based in Malaysia, Iran and Vietnam. Elnaz Akbari's co-authors include Mehrbakhsh Nilashi, Zolkafle Buntat, Othman Ibrahim, Sarminah Samad, Mohammad Taghi Ahmadi, Abdolkarim Afroozeh, Leila Shahmoradi, Hossein Ahmadi, Elaheh Yadegaridehkordi and Azar Alizadeh and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, Journal of Cleaner Production and Sensors.

In The Last Decade

Elnaz Akbari

78 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Elnaz Akbari Malaysia 18 476 408 219 134 119 80 1.2k
Wenhui Lu China 17 256 0.5× 224 0.5× 216 1.0× 36 0.3× 236 2.0× 77 1.1k
Ji‐Hoon Kim South Korea 29 1.9k 3.9× 422 1.0× 354 1.6× 22 0.2× 245 2.1× 134 2.6k
Inderpreet Singh India 17 316 0.7× 292 0.7× 201 0.9× 18 0.1× 99 0.8× 66 1.2k
Jonghun Kim South Korea 17 280 0.6× 233 0.6× 70 0.3× 32 0.2× 90 0.8× 86 1.2k
Datong Chen United States 24 673 1.4× 375 0.9× 150 0.7× 28 0.2× 145 1.2× 88 2.3k
Yiliang Zhao United States 17 194 0.4× 137 0.3× 216 1.0× 32 0.2× 187 1.6× 32 880
Digvijay Pandey India 20 268 0.6× 23 0.1× 251 1.1× 67 0.5× 168 1.4× 157 1.2k
Amrita Chakraborty India 16 190 0.4× 416 1.0× 142 0.6× 29 0.2× 139 1.2× 50 1.1k
Brian E. White United States 16 293 0.6× 960 2.4× 427 1.9× 12 0.1× 45 0.4× 79 1.6k

Countries citing papers authored by Elnaz Akbari

Since Specialization
Citations

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

Fields of papers citing papers by Elnaz Akbari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elnaz Akbari

This figure shows the co-authorship network connecting the top 25 collaborators of Elnaz Akbari. A scholar is included among the top collaborators of Elnaz Akbari 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 Elnaz Akbari. Elnaz Akbari 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.
Habibi, Shaghayegh, Azliyati Azizan, Farhad Jadidi‐Niaragh, et al.. (2020). Design of a multi-epitope peptide vaccine against SARS-CoV-2 based on immunoinformatics data. Majallah-i dānishgāh-i ̒ulūm-i pizishkī-i Māzandarān/Journal of Mazandaran University of Medical Sciences. 30(190). 126–132. 1 indexed citations
2.
Samad, Sarminah, et al.. (2020). The COVID-19 infection and the immune system: The role of complementary and alternative medicines. Biomedical Research-tokyo. 31(3). 1–4. 3 indexed citations
3.
Nilashi, Mehrbakhsh, et al.. (2020). Can complementary and alternative medicines be beneficial in the treatment of COVID-19 through improving immune system function?. Journal of Infection and Public Health. 13(6). 893–896. 38 indexed citations
4.
Buntat, Zolkafle, et al.. (2020). Arc discharge technique to fabricate nanocarbon gas sensing platform. Superlattices and Microstructures. 141. 106479–106479. 1 indexed citations
5.
Ariannejad, M. M., et al.. (2019). Silicon racetrack resonator based on nonlinear material. The European Physical Journal D. 73(8). 3 indexed citations
6.
Nilashi, Mehrbakhsh, Othman Ibrahim, Sarminah Samad, et al.. (2019). An analytical method for measuring the Parkinson’s disease progression: A case on a Parkinson’s telemonitoring dataset. Measurement. 136. 545–557. 42 indexed citations
7.
Nilashi, Mehrbakhsh, Hossein Ahmadi, Leila Shahmoradi, Othman Ibrahim, & Elnaz Akbari. (2018). A predictive method for hepatitis disease diagnosis using ensembles of neuro-fuzzy technique. Journal of Infection and Public Health. 12(1). 13–20. 87 indexed citations
8.
Akbari, Elnaz, et al.. (2018). Analytical Investigation for MoS2 Field Effect Transistor-Based Gas Sensor. Journal of Nanoelectronics and Optoelectronics. 13(3). 399–404. 7 indexed citations
9.
Akbari, Elnaz, et al.. (2018). Support Vector Regression (SVR) Prediction for Molybdenum Disulfide Gas Sensor. Journal of Nanoelectronics and Optoelectronics. 13(11). 1610–1614. 2 indexed citations
10.
Akbari, Elnaz, et al.. (2018). Quality factor investigation by using trapezoidal subwavelength grating waveguide micro-ring resonator based on graphene. Results in Physics. 10. 304–307. 3 indexed citations
11.
Akbari, Elnaz, et al.. (2018). Brief review of monolayer molybdenum disulfide application in gas sensor. Physica B Condensed Matter. 545. 510–518. 49 indexed citations
12.
Akbari, Elnaz, et al.. (2016). Analytical investigation of carrier concentration effect on one-dimensional graphene nanoscroll. Electronic Materials Letters. 12(2). 219–223. 6 indexed citations
13.
Akbari, Elnaz, Abdolkarim Afroozeh, Michael Loong Peng Tan, Vijay K. Arora, & Mahdiar Ghadiry. (2016). Analytical assessment of carbon allotropes for gas sensor applications. Measurement. 92. 295–302. 11 indexed citations
14.
Akbari, Elnaz, et al.. (2014). Sensing and identification of carbon monoxide using carbon films fabricated by methane arc discharge decomposition technique. Nanoscale Research Letters. 9(1). 402–402. 7 indexed citations
15.
Akbari, Elnaz, Vijay K. Arora, Mohammad Taghi Ahmadi, et al.. (2014). An analytical approach to evaluate the performance of graphene and carbon nanotubes for NH3 gas sensor applications. Beilstein Journal of Nanotechnology. 5. 726–734. 18 indexed citations
16.
Rahmani, Meisam, et al.. (2013). The Effect of Bilayer Graphene Nanoribbon Geometry on Schottky‐Barrier Diode Performance. Journal of Nanomaterials. 2013(1). 1 indexed citations
18.
Karimi, Hediyeh, Rubiyah Yusof, Meisam Rahmani, et al.. (2013). Current–voltage modeling of graphene-based DNA sensor. Neural Computing and Applications. 24(1). 85–89. 16 indexed citations
19.
Akbari, Elnaz, M. N. Azarmanesh, & Saber Soltani. (2013). Design of miniaturised band‐notch ultra‐wideband monopole‐slot antenna by modified half‐mode substrate‐integrated waveguide. IET Microwaves Antennas & Propagation. 7(1). 26–34. 13 indexed citations
20.
Rahmani, Meisam, et al.. (2013). Analytical modeling of trilayer graphene nanoribbon Schottky-barrier FET for high-speed switching applications. Nanoscale Research Letters. 8(1). 55–55. 22 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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