Narjes Davari

424 total citations
12 papers, 265 citations indexed

About

Narjes Davari is a scholar working on Artificial Intelligence, Ocean Engineering and Aerospace Engineering. According to data from OpenAlex, Narjes Davari has authored 12 papers receiving a total of 265 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 6 papers in Ocean Engineering and 6 papers in Aerospace Engineering. Recurrent topics in Narjes Davari's work include Target Tracking and Data Fusion in Sensor Networks (7 papers), Inertial Sensor and Navigation (6 papers) and Underwater Vehicles and Communication Systems (5 papers). Narjes Davari is often cited by papers focused on Target Tracking and Data Fusion in Sensor Networks (7 papers), Inertial Sensor and Navigation (6 papers) and Underwater Vehicles and Communication Systems (5 papers). Narjes Davari collaborates with scholars based in Iran, Portugal and Brazil. Narjes Davari's co-authors include Rita P. Ribeiro, Pedro Pereira, João Gama, Bruno Veloso, A. Pedro Aguiar, João Borges de Sousa and Saulo Martiello Mastelini and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and IEEE Sensors Journal.

In The Last Decade

Narjes Davari

11 papers receiving 249 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Narjes Davari Iran 8 138 89 89 67 34 12 265
Tomasz Praczyk Poland 10 136 1.0× 202 2.3× 77 0.9× 49 0.7× 15 0.4× 71 369
Jingpeng Gao China 8 118 0.9× 89 1.0× 93 1.0× 46 0.7× 34 1.0× 34 277
Artur Wolek United States 12 65 0.5× 104 1.2× 165 1.9× 63 0.9× 12 0.4× 39 314
Huixuan Fu China 8 44 0.3× 121 1.4× 43 0.5× 90 1.3× 50 1.5× 51 334
Piotr Kaniewski Poland 10 96 0.7× 53 0.6× 179 2.0× 38 0.6× 106 3.1× 52 338
Xiaozhen Yan China 10 61 0.4× 93 1.0× 115 1.3× 42 0.6× 88 2.6× 34 290
Wenwen Liu China 9 64 0.5× 105 1.2× 51 0.6× 46 0.7× 40 1.2× 27 268
Sharifuddin Mondal India 10 114 0.8× 39 0.4× 79 0.9× 207 3.1× 89 2.6× 36 405
Yunsai Chen China 10 63 0.5× 177 2.0× 60 0.7× 207 3.1× 32 0.9× 29 370
Pin Lyu China 12 91 0.7× 42 0.5× 185 2.1× 87 1.3× 75 2.2× 36 311

Countries citing papers authored by Narjes Davari

Since Specialization
Citations

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

Fields of papers citing papers by Narjes Davari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Narjes Davari

This figure shows the co-authorship network connecting the top 25 collaborators of Narjes Davari. A scholar is included among the top collaborators of Narjes Davari 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 Narjes Davari. Narjes Davari is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
2.
Gama, João, Rita P. Ribeiro, Saulo Martiello Mastelini, Narjes Davari, & Bruno Veloso. (2024). From fault detection to anomaly explanation: A case study on predictive maintenance. Journal of Web Semantics. 81. 100821–100821. 3 indexed citations
3.
Davari, Narjes & A. Pedro Aguiar. (2021). Real-Time Outlier Detection Applied to a Doppler Velocity Log Sensor Based on Hybrid Autoencoder and Recurrent Neural Network. IEEE Journal of Oceanic Engineering. 46(4). 1288–1301. 14 indexed citations
4.
Davari, Narjes, Bruno Veloso, Rita P. Ribeiro, Pedro Pereira, & João Gama. (2021). Predictive maintenance based on anomaly detection using deep learning for air production unit in the railway industry. 1–10. 24 indexed citations
5.
Davari, Narjes, et al.. (2021). A Survey on Data-Driven Predictive Maintenance for the Railway Industry. Sensors. 21(17). 5739–5739. 66 indexed citations
6.
Davari, Narjes, et al.. (2019). Variational Bayesian adaptive Kalman filter for asynchronous multirate multi-sensor integrated navigation system. Ocean Engineering. 174. 108–116. 32 indexed citations
7.
Davari, Narjes, A. Pedro Aguiar, & João Borges de Sousa. (2018). An AUV Navigation System Using an Adaptive Error State Kalman Filter Based on Variational Bayesian. 1–6. 5 indexed citations
8.
Davari, Narjes, et al.. (2016). Performance Enhancement of GPS/INS Integrated Navigation System Using Wavelet Based De-noising method. SHILAP Revista de lepidopterología. 48(2). 101–112. 4 indexed citations
9.
Davari, Narjes, et al.. (2016). An Asynchronous Adaptive Direct Kalman Filter Algorithm to Improve Underwater Navigation System Performance. IEEE Sensors Journal. 17(4). 1061–1068. 55 indexed citations
10.
Davari, Narjes, et al.. (2016). Multirate Adaptive Kalman Filter for Marine Integrated Navigation System. Journal of Navigation. 70(3). 628–647. 14 indexed citations
11.
Davari, Narjes, et al.. (2014). Asynchronous direct Kalman filtering approach for underwater integrated navigation system. Nonlinear Dynamics. 80(1-2). 71–85. 30 indexed citations
12.

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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