Sahar Asadi

689 total citations
23 papers, 480 citations indexed

About

Sahar Asadi is a scholar working on Insect Science, Biomedical Engineering and Artificial Intelligence. According to data from OpenAlex, Sahar Asadi has authored 23 papers receiving a total of 480 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Insect Science, 8 papers in Biomedical Engineering and 5 papers in Artificial Intelligence. Recurrent topics in Sahar Asadi's work include Insect Pheromone Research and Control (9 papers), Advanced Chemical Sensor Technologies (5 papers) and Ultrasonics and Acoustic Wave Propagation (3 papers). Sahar Asadi is often cited by papers focused on Insect Pheromone Research and Control (9 papers), Advanced Chemical Sensor Technologies (5 papers) and Ultrasonics and Acoustic Wave Propagation (3 papers). Sahar Asadi collaborates with scholars based in Sweden, Iran and Germany. Sahar Asadi's co-authors include Achim J. Lilienthal, Patrick P. Neumann, Matthias Bartholmai, Jochen Schiller, Mahnaz Shamshirsaz, Ali Masoudi‐Nejad, Shahin Mohammadi, Elahe Elahi, Zahra Razaghi‐Moghadam and Abbas Nowzari-Dalini and has published in prestigious journals such as BMC Bioinformatics, Smart Materials and Structures and Ceramics International.

In The Last Decade

Sahar Asadi

21 papers receiving 455 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sahar Asadi Sweden 10 167 147 92 65 62 23 480
Daxing Zhang China 13 205 1.2× 13 0.1× 23 0.3× 11 0.2× 83 1.3× 59 934
Shafishuhaza Sahlan Malaysia 12 112 0.7× 21 0.1× 3 0.0× 88 1.4× 23 0.4× 60 466
Jindong Liu China 10 136 0.8× 5 0.0× 15 0.2× 54 0.8× 17 0.3× 40 636
Donguk Kang South Korea 5 88 0.5× 5 0.0× 52 0.6× 3 0.0× 33 0.5× 8 465
Qinglong Chen China 13 54 0.3× 61 0.4× 71 0.8× 1 0.0× 28 0.5× 47 449
Javier Burgués Spain 16 528 3.2× 284 1.9× 19 0.2× 1 0.0× 45 0.7× 27 975
Krešimir Malarić Croatia 11 68 0.4× 42 0.3× 14 0.2× 6 0.1× 9 0.1× 79 702
Qinghua He China 12 278 1.7× 121 0.8× 39 0.4× 36 0.6× 62 532
Miguel Macías Macías Spain 12 148 0.9× 50 0.3× 35 0.4× 3 0.0× 66 1.1× 38 493
Virginia L. Ballarin Argentina 14 64 0.4× 5 0.0× 38 0.4× 6 0.1× 93 1.5× 68 557

Countries citing papers authored by Sahar Asadi

Since Specialization
Citations

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

Fields of papers citing papers by Sahar Asadi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sahar Asadi

This figure shows the co-authorship network connecting the top 25 collaborators of Sahar Asadi. A scholar is included among the top collaborators of Sahar Asadi 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 Sahar Asadi. Sahar Asadi 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.
Asadi, Sahar, et al.. (2024). BaziGooshi: A Hybrid Model of Reinforcement Learning for Generalization in Gameplay. IEEE Transactions on Games. 16(3). 722–734. 1 indexed citations
2.
Asadi, Sahar, et al.. (2023). Ag nanoparticles anchored onto Graphene Oxide for the ultrasensitive detection of exemestane as a Breast cancer drug in pharmaceutical, water sources and agricultural waste. Journal of Food Measurement & Characterization. 18(1). 593–603. 3 indexed citations
3.
4.
Asadi, Sahar, et al.. (2022). CandyRL: A Hybrid Reinforcement Learning Model for Gameplay. 2 indexed citations
5.
Asadi, Sahar, et al.. (2020). Use All Your Skills, Not Only The Most Popular Ones. 518. 682–685. 2 indexed citations
6.
Asadi, Sahar, et al.. (2018). A new model order reduction method based on global kernelk-means clustering: Application in health monitoring of plate using Lamb wave propagation and impedance method. Structural Control and Health Monitoring. 25(9). e2211–e2211. 2 indexed citations
7.
Asadi, Sahar, et al.. (2017). Implementation of a novel efficient low cost method in structural health monitoring. Smart Materials and Structures. 26(5). 55032–55032. 2 indexed citations
8.
Asadi, Sahar. (2017). Towards Dense Air Quality Monitoring : Time-Dependent Statistical Gas Distribution Modelling and Sensor Planning. KTH Publication Database DiVA (KTH Royal Institute of Technology). 1 indexed citations
9.
Asadi, Sahar, et al.. (2017). Time-dependent gas distribution modelling. Robotics and Autonomous Systems. 96. 157–170. 16 indexed citations
10.
Mokhtari, Fatemeh, Mahnaz Shamshirsaz, Masoud Latifi, & Sahar Asadi. (2016). Comparative evaluation of piezoelectric response of electrospun PVDF (polyvinilydine fluoride) nanofiber with various additives for energy scavenging application. Journal of the Textile Institute. 108(6). 906–914. 57 indexed citations
11.
Asadi, Sahar & Achim J. Lilienthal. (2015). Approaches to time-dependent gas distribution modelling. 34. 1–6. 3 indexed citations
12.
Shamshirsaz, Mahnaz, et al.. (2014). Analytical and experimental analysis of Lamb wave generation in piezoelectrically driven Timoshenko beam. Journal of Intelligent Material Systems and Structures. 26(17). 2314–2321. 6 indexed citations
13.
Neumann, Patrick P., Sahar Asadi, Victor Hernandez Bennetts, Achim J. Lilienthal, & Matthias Bartholmai. (2013). Monitoring of CCS Areas using Micro Unmanned Aerial Vehicles (MUAVs). Energy Procedia. 37. 4182–4190. 15 indexed citations
14.
Neumann, Patrick P., Sahar Asadi, Achim J. Lilienthal, Matthias Bartholmai, & Jochen Schiller. (2012). Autonomous Gas-Sensitive Microdrone: Wind Vector Estimation and Gas Distribution Mapping. IEEE Robotics & Automation Magazine. 19(1). 50–61. 127 indexed citations
15.
Neumann, Patrick P., Sahar Asadi, Achim J. Lilienthal, Matthias Bartholmai, & Jochen Schiller. (2011). Micro-Drone for Wind Vector Estimation and Gas Distribution Mapping. 14 indexed citations
16.
Neumann, Patrick P., Sahar Asadi, Jochen Schiller, Achim J. Lilienthal, & Matthias Bartholmai. (2011). An artificial potential field based sampling strategy for a gas-sensitive micro-drone. KTH Publication Database DiVA (KTH Royal Institute of Technology). 34–38. 13 indexed citations
17.
Asadi, Sahar, Costin Bădică, Tina Comes, et al.. (2011). ICT solutions supporting collaborative information acquisition, situation assessment and decision making in contemporary environmental management problems: the DIADEM approach. UvA-DARE (University of Amsterdam). 920–931. 4 indexed citations
18.
Pashami, Sepideh, Sahar Asadi, & Achim J. Lilienthal. (2010). Integration of OpenFOAM Flow Simulation and Filament-Based Gas Propagation Models for Gas Dispersion Simulation. 14(6). 155–157. 17 indexed citations
19.
Razaghi‐Moghadam, Zahra, Elahe Elahi, Abbas Nowzari-Dalini, et al.. (2009). Kavosh: a new algorithm for finding network motifs. BMC Bioinformatics. 10(1). 318–318. 148 indexed citations
20.
Lilienthal, Achim J., Sahar Asadi, Matteo Reggente, Matteo Pardo, & Giorgio Sberveglieri. (2009). Estimating Predictive Variance for Statistical Gas Distribution Modelling. AIP conference proceedings. 65–68. 9 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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