Parisa Farzam

1.0k total citations
27 papers, 693 citations indexed

About

Parisa Farzam is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Surgery. According to data from OpenAlex, Parisa Farzam has authored 27 papers receiving a total of 693 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Radiology, Nuclear Medicine and Imaging, 20 papers in Biomedical Engineering and 5 papers in Surgery. Recurrent topics in Parisa Farzam's work include Optical Imaging and Spectroscopy Techniques (24 papers), Photoacoustic and Ultrasonic Imaging (12 papers) and Non-Invasive Vital Sign Monitoring (11 papers). Parisa Farzam is often cited by papers focused on Optical Imaging and Spectroscopy Techniques (24 papers), Photoacoustic and Ultrasonic Imaging (12 papers) and Non-Invasive Vital Sign Monitoring (11 papers). Parisa Farzam collaborates with scholars based in United States, Spain and Italy. Parisa Farzam's co-authors include Maria Angela Franceschini, Stefan A. Carp, Turgut Durduran, David A. Boas, Juliette Selb, Sava Sakadžić, Claus Lindner, Kuan-Cheng Wu, Dennis M. Hueber and Paola Taroni and has published in prestigious journals such as PLoS ONE, Scientific Reports and Journal of Applied Physiology.

In The Last Decade

Parisa Farzam

25 papers receiving 683 citations

Peers

Parisa Farzam

RNMI

SURGE

PHYSI

BIOPH

Lian He United States

Erin K. Englund United States

Larisa P. Safonova Russia

Masatsugu Niwayama Japan

Y. A. B. D. Wickramasinghe United Kingdom

Christian Crouzet United States

Haishu Ding China

Simon Hyttel-Sørensen Denmark

Matthias Keel Switzerland

K. Yaegashi Japan

Lian He United States

Parisa Farzam

495 ×0.8

RNMI

371 ×0.8

125 ×1.2

SURGE

125 ×1.3

PHYSI

69 ×0.7

BIOPH

Citations per year, relative to Parisa Farzam Parisa Farzam (= 1×) peers Lian He

Countries citing papers authored by Parisa Farzam

Since Specialization

Citations

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

Fields of papers citing papers by Parisa Farzam

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Parisa Farzam

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

All Works

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20 of 20 papers shown

Esquinas, Pedro L., Parisa Farzam, Thomas Binder, et al.. (2022). Evaluation of an Automated Method to Detect Missed Focal Liver Findings In Single-Phase CT Images of The Abdomen. 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI). 1–5. 2 indexed citations

Xie, Yiting, et al.. (2022). Multi-institutional evaluation of a deep learning model for fully automated detection of aortic aneurysms in contrast and non-contrast CT. 24. 135–135.

Farzam, Parisa, John Sunwoo, Arminder S. Jassar, et al.. (2021). The role of diffuse correlation spectroscopy and frequency-domain near-infrared spectroscopy in monitoring cerebral hemodynamics during hypothermic circulatory arrests. JTCVS Techniques. 7. 161–177. 13 indexed citations

Wu, Kuan-Cheng, John Sunwoo, Faheem Sheriff, et al.. (2021). Validation of diffuse correlation spectroscopy measures of critical closing pressure against transcranial Doppler ultrasound in stroke patients. Journal of Biomedical Optics. 26(3). 26 indexed citations

Selb, Juliette, Kuan-Cheng Wu, Jason Sutin, et al.. (2018). Prolonged monitoring of cerebral blood flow and autoregulation with diffuse correlation spectroscopy in neurocritical care patients. Neurophotonics. 5(4). 1–1. 39 indexed citations

Farzam, Parisa, et al.. (2018). Validation of a novel wearable, wireless technology to estimate oxygen levels and lactate threshold power in the exercising muscle. Physiological Reports. 6(7). e13664–e13664. 66 indexed citations

Farzam, Parisa, Erin M. Buckley, Pei‐Yi Lin, et al.. (2017). Shedding light on the neonatal brain: probing cerebral hemodynamics by diffuse optical spectroscopic methods. Scientific Reports. 7(1). 15786–15786. 35 indexed citations

Carp, Stefan A., et al.. (2017). Combined multi-distance frequency domain and diffuse correlation spectroscopy system with simultaneous data acquisition and real-time analysis. Biomedical Optics Express. 8(9). 3993–3993. 57 indexed citations

Farzam, Parisa, et al.. (2017). Pre-clinical longitudinal monitoring of hemodynamic response to anti-vascular chemotherapy by hybrid diffuse optics. Biomedical Optics Express. 8(5). 2563–2563. 7 indexed citations

10.

Tamborini, Davide, Parisa Farzam, Bernhard Zimmermann, et al.. (2017). Development and characterization of a multidistance and multiwavelength diffuse correlation spectroscopy system. Neurophotonics. 5(1). 1–1. 31 indexed citations

11.

Sekar, Sanathana Konugolu Venkata, Marco Pagliazzi, Eugènia Negredo, et al.. (2016). In Vivo, Non-Invasive Characterization of Human Bone by Hybrid Broadband (600-1200 nm) Diffuse Optical and Correlation Spectroscopies. PLoS ONE. 11(12). e0168426–e0168426. 30 indexed citations

12.

Lindner, Claus, Mireia Mora, Parisa Farzam, et al.. (2016). Diffuse Optical Characterization of the Healthy Human Thyroid Tissue and Two Pathological Case Studies. PLoS ONE. 11(1). e0147851–e0147851. 31 indexed citations

13.

Johansson, Johannes, et al.. (2016). Scanning, non-contact, hybrid broadband diffuse optical spectroscopy and diffuse correlation spectroscopy system. Biomedical Optics Express. 7(2). 481–481. 10 indexed citations

14.

Boas, David A., Sava Sakadžić, Juliette Selb, et al.. (2016). Establishing the diffuse correlation spectroscopy signal relationship with blood flow. Neurophotonics. 3(3). 31412–31412. 135 indexed citations

15.

Wu, Tong, Daniel Byun, Kelley S. Madden, et al.. (2016). Chemotherapeutic drug-specific alteration of microvascular blood flow in murine breast cancer as measured by diffuse correlation spectroscopy. Biomedical Optics Express. 7(9). 3610–3610. 12 indexed citations

16.

Sekar, Sanathana Konugolu Venkata, Alberto Dalla Mora, Ilaria Bargigia, et al.. (2015). Broadband (600–1350 nm) Time-Resolved Diffuse Optical Spectrometer for Clinical Use. IEEE Journal of Selected Topics in Quantum Electronics. 22(3). 406–414. 76 indexed citations

17.

Johansson, Johannes, et al.. (2015). Non-contact, scanning hyperspectral diffuse optical spectroscopy and diffuse correlation spectroscopy system. 1 indexed citations

18.

Farzam, Parisa, et al.. (2014). Noninvasive characterization of the healthy human manubrium using diffuse optical spectroscopies. Physiological Measurement. 35(7). 1469–1491. 25 indexed citations

19.

Farzam, Parisa, Peyman Zirak, Tiziano Binzoni, & Turgut Durduran. (2013). Pulsatile and steady-state hemodynamics of the human patella bone by diffuse optical spectroscopy. Physiological Measurement. 34(8). 839–857. 23 indexed citations

20.

Giannoula, Alexia, et al.. (2010). Sparse Image Reconstruction in Diffuse Optical Tomography: An Application of Compressed Sensing. 15. BSuE6–BSuE6. 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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