Sara Hashemi

884 total citations
23 papers, 670 citations indexed

About

Sara Hashemi is a scholar working on Computational Theory and Mathematics, Epidemiology and Electrical and Electronic Engineering. According to data from OpenAlex, Sara Hashemi has authored 23 papers receiving a total of 670 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computational Theory and Mathematics, 7 papers in Epidemiology and 7 papers in Electrical and Electronic Engineering. Recurrent topics in Sara Hashemi's work include Quantum-Dot Cellular Automata (8 papers), Advanced Memory and Neural Computing (6 papers) and Antifungal resistance and susceptibility (4 papers). Sara Hashemi is often cited by papers focused on Quantum-Dot Cellular Automata (8 papers), Advanced Memory and Neural Computing (6 papers) and Antifungal resistance and susceptibility (4 papers). Sara Hashemi collaborates with scholars based in Iran, Australia and United States. Sara Hashemi's co-authors include Keivan Navi, Mohsen Ebrahimi Moghaddam, Mostafa Rahimi Azghadi, Ali Zakerolhosseini, Razieh Farazkish, Roshanak Daie Ghazvini, Sadegh Khodavaisy, Zahra Rafat, Hamid Badali and Sassan Rezaie and has published in prestigious journals such as SHILAP Revista de lepidopterología, Pattern Recognition Letters and Applied Soil Ecology.

In The Last Decade

Sara Hashemi

22 papers receiving 635 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sara Hashemi Iran 12 382 356 188 160 75 23 670
Donggyu Kim South Korea 13 36 0.1× 153 0.4× 100 0.5× 27 0.2× 14 0.2× 24 650
Prabir Saha India 13 142 0.4× 406 1.1× 11 0.1× 16 0.1× 5 0.1× 81 547
Zhicheng Wu China 13 180 0.5× 103 0.3× 40 0.2× 22 0.1× 12 0.2× 24 1.3k
Christoph Angerer Austria 12 192 0.5× 374 1.1× 8 0.0× 11 0.1× 348 4.6× 24 1.5k
Alexander V. Tuzikov Belarus 16 115 0.3× 13 0.0× 10 0.1× 187 1.2× 18 0.2× 80 656
Gabriel Caffarena Spain 10 76 0.2× 98 0.3× 5 0.0× 29 0.2× 9 0.1× 46 414
Zibin Li China 15 6 0.0× 330 0.9× 36 0.2× 33 0.2× 11 0.1× 59 592
Devabhaktuni Srikrishna United States 10 72 0.2× 135 0.4× 63 0.3× 28 0.2× 18 875
Christian E. Schaerer Paraguay 9 65 0.2× 16 0.0× 15 0.1× 33 0.2× 10 0.1× 47 281
Run Ye China 11 45 0.1× 57 0.2× 8 0.0× 38 0.2× 12 0.2× 25 327

Countries citing papers authored by Sara Hashemi

Since Specialization
Citations

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

Fields of papers citing papers by Sara Hashemi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sara Hashemi

This figure shows the co-authorship network connecting the top 25 collaborators of Sara Hashemi. A scholar is included among the top collaborators of Sara Hashemi 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 Sara Hashemi. Sara Hashemi 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.
Hashemi, Sara, et al.. (2024). Soil macrofauna diversity and biomass associated with the “fertility islands” beneath oak trees in a semi-arid woodland. Applied Soil Ecology. 201. 105480–105480. 1 indexed citations
2.
Salehi, Zahra, Mojtaba Taran, Alireza Izadi, et al.. (2020). Comparison of in vitro antifungal activity of novel triazoles with available antifungal agents against dermatophyte species caused tinea pedis. Journal de Mycologie Médicale. 30(2). 100935–100935. 18 indexed citations
3.
Hashemi, Sara, et al.. (2020). Multi-view deep learning for rigid gas permeable lens base curve fitting based on Pentacam images. Medical & Biological Engineering & Computing. 58(7). 1467–1482. 6 indexed citations
4.
Hashemi, Sara, et al.. (2020). An image processing approach for rigid gas-permeable lens base-curve identification. Signal Image and Video Processing. 14(5). 971–979. 2 indexed citations
5.
Moosavi, Azam, Roshanak Daie Ghazvini, Kazem Ahmadikia, et al.. (2019). The frequency of fungi isolated from the skin and hair of asymptomatic cats in rural area of Meshkin-shahr-Iran. Journal de Mycologie Médicale. 29(1). 14–18. 8 indexed citations
6.
Hashemi, Sara, et al.. (2018). Species identification and in vitro antifungal susceptibility testing of Aspergillus section Nigri strains isolated from otomycosis patients. Journal de Mycologie Médicale. 28(2). 279–284. 21 indexed citations
7.
Hasheminezhad, Araz, Sara Hashemi, & Roya M. Tabatabaie. (2018). Evaluation of Operative Factors on Conversion Efficiency of Biodiesel Production from Waste Cooking Oil. SHILAP Revista de lepidopterología. 9(2). 4 indexed citations
8.
Hashemi, Sara, Mostafa Rahimi Azghadi, & Keivan Navi. (2018). Design and analysis of efficient QCA reversible adders. The Journal of Supercomputing. 75(4). 2106–2125. 31 indexed citations
9.
Rafat, Zahra, et al.. (2017). Study of skin and nail Candida species as a normal flora based on age groups in healthy persons in Tehran-Iran. Journal de Mycologie Médicale. 27(4). 501–505. 17 indexed citations
10.
Khodavaisy, Sadegh, Hamid Badali, Sara Hashemi, et al.. (2016). In vitro activities of five antifungal agents against 199 clinical and environmental isolates of Aspergillus flavus, an opportunistic fungal pathogen. Journal de Mycologie Médicale. 26(2). 116–121. 17 indexed citations
11.
Kordbacheh, Parivash, et al.. (2014). Camparison of Oral Candida Flora in Patients with Coronary Atherosclerosis and Healthy People. 16(1). 40–43. 1 indexed citations
12.
Hashemi, Sara & Keivan Navi. (2014). Designing quantum‐dot cellular automata circuits using a robust one layer crossover scheme. The Journal of Engineering. 2014(3). 93–97. 11 indexed citations
13.
Hashemi, Sara, Mostafa Rahimi Azghadi, Ali Zakerolhosseini, & Keivan Navi. (2014). A novel FPGA-programmable switch matrix interconnection element in quantum-dot cellular automata. International Journal of Electronics. 102(4). 703–724. 10 indexed citations
14.
Hashemi, Sara & Keivan Navi. (2014). Reversible Multiplexer Design in Quantum-Dot Cellular Automata. Quantum Matter. 3(6). 523–528. 10 indexed citations
15.
Hashemi, Sara, Razieh Farazkish, & Keivan Navi. (2013). New Quantum Dot Cellular Automata Cell Arrangements. Journal of Computational and Theoretical Nanoscience. 10(4). 798–809. 47 indexed citations
16.
Hashemi, Sara, et al.. (2012). An efficient quantum-dot cellular automata full-adder. Scientific Research and Essays. 7(2). 177–189. 91 indexed citations
17.
Hashemi, Sara & Keivan Navi. (2012). New robust QCA D flip flop and memory structures. Microelectronics Journal. 43(12). 929–940. 143 indexed citations
18.
Hashemi, Sara, et al.. (2009). An Image Enhancement Method Based on Genetic Algorithm. 2. 167–171. 20 indexed citations
19.
Hashemi, Sara, Mostafa Rahimi Azghadi, & Ali Zakerolhosseini. (2008). A novel QCA multiplexer design. 692–696. 42 indexed citations
20.
Azghadi, Mostafa Rahimi, et al.. (2008). A Hybrid Multiprocessor Task Scheduling Method Based on Immune Genetic Algorithm. 4 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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2026