Saba Adabi

582 total citations
21 papers, 435 citations indexed

About

Saba Adabi is a scholar working on Biomedical Engineering, Biophysics and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Saba Adabi has authored 21 papers receiving a total of 435 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Biomedical Engineering, 8 papers in Biophysics and 7 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Saba Adabi's work include Optical Coherence Tomography Applications (14 papers), Photoacoustic and Ultrasonic Imaging (13 papers) and Advanced Fluorescence Microscopy Techniques (6 papers). Saba Adabi is often cited by papers focused on Optical Coherence Tomography Applications (14 papers), Photoacoustic and Ultrasonic Imaging (13 papers) and Advanced Fluorescence Microscopy Techniques (6 papers). Saba Adabi collaborates with scholars based in United States, Italy and Iran. Saba Adabi's co-authors include Ali Mahloojifar, Mahdi Orooji, Moein Mozaffarzadeh, Kamran Avanaki, Darius Mehregan, Silvia Conforto, Emad Fatemizadeh, Mostafa Fatemi, Qiuyun Xu and Azra Alizad and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Saba Adabi

21 papers receiving 420 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Saba Adabi United States 11 345 183 128 50 44 21 435
Liang Song China 15 479 1.4× 265 1.4× 291 2.3× 18 0.4× 24 0.5× 29 624
Michael Greenebaum United States 5 396 1.1× 392 2.1× 149 1.2× 112 2.2× 133 3.0× 5 687
D. L. Hykes United States 7 170 0.5× 227 1.2× 64 0.5× 10 0.2× 34 0.8× 23 432
Marcin Lewandowski Poland 14 209 0.6× 267 1.5× 201 1.6× 8 0.2× 30 0.7× 73 502
Sreyankar Nandy United States 13 426 1.2× 236 1.3× 127 1.0× 51 1.0× 9 0.2× 40 509
Quanzeng Wang United States 13 195 0.6× 258 1.4× 34 0.3× 22 0.4× 13 0.3× 36 412
Wojciech Secomski Poland 12 314 0.9× 206 1.1× 110 0.9× 9 0.2× 15 0.3× 44 460
Mykola M. Yaremko United States 7 471 1.4× 544 3.0× 226 1.8× 70 1.4× 19 0.4× 11 751
Alexander L. Matveyev Russia 25 1.3k 3.7× 808 4.4× 124 1.0× 132 2.6× 29 0.7× 98 1.6k

Countries citing papers authored by Saba Adabi

Since Specialization
Citations

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

Fields of papers citing papers by Saba Adabi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saba Adabi

This figure shows the co-authorship network connecting the top 25 collaborators of Saba Adabi. A scholar is included among the top collaborators of Saba Adabi 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 Saba Adabi. Saba Adabi 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.
Gregory, Adriana, Max Denis, Mahdi Bayat, et al.. (2020). Predictive value of comb-push ultrasound shear elastography for the differentiation of reactive and metastatic axillary lymph nodes: A preliminary investigation. PLoS ONE. 15(1). e0226994–e0226994. 4 indexed citations
2.
Bayat, Mahdi, Saba Adabi, Viksit Kumar, et al.. (2019). Acoustoelasticity Analysis of Transient Waves for Non-Invasive In Vivo Assessment of Urinary Bladder. Scientific Reports. 9(1). 2441–2441. 9 indexed citations
3.
Adabi, Saba, et al.. (2019). Non-Local Based Denoising Framework for In Vivo Contrast-Free Ultrasound Microvessel Imaging. Sensors. 19(2). 245–245. 26 indexed citations
4.
Xu, Qiuyun, et al.. (2018). Swept-Source Optical Coherence Tomography–Supervised Biopsy. Dermatologic Surgery. 44(6). 768–775. 17 indexed citations
5.
Adabi, Saba, et al.. (2018). Learnable despeckling framework for optical coherence tomography images. Journal of Biomedical Optics. 23(1). 1–1. 44 indexed citations
6.
Adabi, Saba, et al.. (2017). High-resolution wavelet-fractal compressed optical coherence tomography images. Applied Optics. 56(4). 1119–1119. 13 indexed citations
7.
Mozaffarzadeh, Moein, et al.. (2017). Double-Stage Delay Multiply and Sum Beamforming Algorithm: Application to Linear-Array Photoacoustic Imaging. IEEE Transactions on Biomedical Engineering. 65(1). 31–42. 139 indexed citations
8.
Adabi, Saba, et al.. (2017). Optical Coherence Tomography Technology and Quality Improvement Methods for Optical Coherence Tomography Images of Skin: A Short Review. SHILAP Revista de lepidopterología. 8. 2739954003–2739954003. 38 indexed citations
9.
Fatemizadeh, Emad, et al.. (2017). Noise reduction in OCT skin images. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 10137. 1013724–1013724. 4 indexed citations
10.
Adabi, Saba, et al.. (2017). Semi-automated localization of dermal epidermal junction in optical coherence tomography images of skin. Applied Optics. 56(11). 3116–3116. 37 indexed citations
11.
Adabi, Saba, et al.. (2017). A spatially-variant deconvolution method based on total variation for optical coherence tomography images. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 10137. 1013725–1013725. 7 indexed citations
12.
Adabi, Saba, et al.. (2017). Speckle reduction of OCT images using an adaptive cluster-based filtering. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 10053. 100532X–100532X. 3 indexed citations
13.
Adabi, Saba, et al.. (2017). An intelligent despeckling method for swept source optical coherence tomography images of skin. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 10137. 101372B–101372B. 4 indexed citations
14.
Adabi, Saba, et al.. (2017). An overview of methods to mitigate artifacts in optical coherence tomography imaging of the skin. Skin Research and Technology. 24(2). 265–273. 23 indexed citations
15.
Adabi, Saba, et al.. (2017). Textural analysis of optical coherence tomography skin images: quantitative differentiation between healthy and cancerous tissues. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 10053. 100533F–100533F. 4 indexed citations
16.
Hariri, Ali, et al.. (2017). Functional photoacoustic tomography for neonatal brain imaging: developments and challenges. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 10064. 100642Z–100642Z. 13 indexed citations
17.
Adabi, Saba, et al.. (2016). An Intelligent Speckle Reduction Algorithm for Optical Coherence Tomography Images. Kent Academic Repository (University of Kent). 38–43. 23 indexed citations
18.
Tosti, Fabio, et al.. (2014). Large-scale analysis of dielectric and mechanical properties of pavement using GPR and LFWD. IRIS Research product catalog (Sapienza University of Rome). 868–873. 21 indexed citations
19.
Abdullah, Raja Syamsul Azmir Raja, et al.. (2012). Breast tumor detection using microwave ultra wideband (UWB) forward scattering radar system. International Journal of the Physical Sciences. 7(46). 6062–6074. 3 indexed citations
20.
Adabi, Saba, et al.. (2008). Breast cancer detection using Forward Scattering Radar technique. 252–256. 2 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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