Berkan Lafci

445 total citations
21 papers, 252 citations indexed

About

Berkan Lafci is a scholar working on Biomedical Engineering, Radiology, Nuclear Medicine and Imaging and Mechanics of Materials. According to data from OpenAlex, Berkan Lafci has authored 21 papers receiving a total of 252 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Biomedical Engineering, 13 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Mechanics of Materials. Recurrent topics in Berkan Lafci's work include Photoacoustic and Ultrasonic Imaging (18 papers), Optical Imaging and Spectroscopy Techniques (12 papers) and Optical Coherence Tomography Applications (6 papers). Berkan Lafci is often cited by papers focused on Photoacoustic and Ultrasonic Imaging (18 papers), Optical Imaging and Spectroscopy Techniques (12 papers) and Optical Coherence Tomography Applications (6 papers). Berkan Lafci collaborates with scholars based in Switzerland, Spain and Germany. Berkan Lafci's co-authors include Daniel Razansky, Xosé Luís Deán‐Ben, Hamdi Torun, Arda D. Yalçınkaya, Seyhan Salman, Elena Merčep, Stefan Morscher, J. L. Herraiz, Justine Robin and Michael Reiß and has published in prestigious journals such as NeuroImage, The Journal of the Acoustical Society of America and Optics Letters.

In The Last Decade

Berkan Lafci

20 papers receiving 246 citations

Peers

Berkan Lafci

RNMI

EEE

Chien-Cheng Chang Taiwan

Songde Liu China

Xiaoyi Zhu China

Hayong Jung United States

Rami Shnaiderman Germany

Sumit Agrawal United States

Nikhila Nyayapathi United States

Rehman Ansari United Kingdom

Elisabet Rank Austria

Diwu Yang China

Chien-Cheng Chang Taiwan

Berkan Lafci

267 ×1.3

79 ×0.7

RNMI

39 ×0.6

EEE

21 ×0.4

30 ×1.5

Citations per year, relative to Berkan Lafci Berkan Lafci (= 1×) peers Chien-Cheng Chang

Countries citing papers authored by Berkan Lafci

Since Specialization

Citations

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

Fields of papers citing papers by Berkan Lafci

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Berkan Lafci

This figure shows the co-authorship network connecting the top 25 collaborators of Berkan Lafci. A scholar is included among the top collaborators of Berkan Lafci 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 Berkan Lafci. Berkan Lafci 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

Deán‐Ben, Xosé Luís, et al.. (2024). Hybrid spherical array for combined volumetric optoacoustic and B-mode ultrasound imaging. Optics Letters. 49(6). 1469–1469. 3 indexed citations

Kalva, Sandeep Kumar, et al.. (2024). Full-view low-cost LED-based optoacoustic tomography. Open MIND. 47–47. 1 indexed citations

Kalva, Sandeep Kumar, Berkan Lafci, Polina G. Rudakovskaya, et al.. (2023). Multilayer Polymer Shell Perfluoropentane Nanodroplets for Multimodal Ultrasound, Magnetic Resonance, and Optoacoustic Imaging. Laser & Photonics Review. 17(9). 6 indexed citations

Boehm, Christian, et al.. (2023). Full-waveform inversion with resolution proxies for in-vivo ultrasound computed tomography. Repository for Publications and Research Data (ETH Zurich). 74. 1–4.

Lafci, Berkan, et al.. (2023). Real-time assessment of high-intensity focused ultrasound heating and cavitation with hybrid optoacoustic ultrasound imaging. Photoacoustics. 31. 100508–100508. 13 indexed citations

Kalva, Sandeep Kumar, et al.. (2023). Full-view LED-based optoacoustic tomography. Photoacoustics. 31. 100521–100521. 12 indexed citations

Lafci, Berkan, et al.. (2023). Signal domain adaptation network for limited-view optoacoustic tomography. Medical Image Analysis. 91. 103012–103012. 7 indexed citations

Lafci, Berkan, Anna Hadjihambi, Christos Konstantinou, et al.. (2023). Multimodal assessment of non-alcoholic fatty liver disease with transmission-reflection optoacoustic ultrasound. Theranostics. 13(12). 4217–4228. 11 indexed citations

Grünherz, Lisanne, Epameinondas Gousopoulos, Carlotta Barbon, et al.. (2022). Preoperative Mapping of Lymphatic Vessels by Multispectral Optoacoustic Tomography. Lymphatic Research and Biology. 20(6). 659–664. 9 indexed citations

10.

Lafci, Berkan, Hao Wang, Jan Klohs, et al.. (2022). Deep learning facilitates fully automated brain image registration of optoacoustic tomography and magnetic resonance imaging. Biomedical Optics Express. 13(9). 4817–4817. 11 indexed citations

11.

Lafci, Berkan, Hao Wang, Jan Klohs, et al.. (2022). Automatic image registration of optoacoustic tomography and magnetic resonance imaging based on deep learning. 5–5. 2 indexed citations

12.

Lafci, Berkan, Justine Robin, Xosé Luís Deán‐Ben, & Daniel Razansky. (2022). Expediting Image Acquisition in Reflection Ultrasound Computed Tomography. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 69(10). 2837–2848. 11 indexed citations

13.

Robin, Justine, Richard Rau, Berkan Lafci, et al.. (2021). Hemodynamic response to sensory stimulation in mice: Comparison between functional ultrasound and optoacoustic imaging. NeuroImage. 237. 118111–118111. 16 indexed citations

14.

Razansky, Daniel, Berkan Lafci, & Xosé Luís Deán‐Ben. (2021). Transmission-reflection optoacoustic ultrasound (TROPUS) computed tomography of whole mice. The Journal of the Acoustical Society of America. 149(4_Supplement). A19–A19. 1 indexed citations

15.

Lafci, Berkan, et al.. (2021). Deep learning of image- and time-domain data enhances the visibility of structures in optoacoustic tomography. Optics Letters. 46(13). 3029–3029. 11 indexed citations

16.

Lafci, Berkan, Elena Merčep, J. L. Herraiz, Xosé Luís Deán‐Ben, & Daniel Razansky. (2020). Noninvasive multiparametric characterization of mammary tumors with transmission-reflection optoacoustic ultrasound. Neoplasia. 22(12). 770–777. 20 indexed citations

17.

Lafci, Berkan, Elena Merčep, Stefan Morscher, Xosé Luís Deán‐Ben, & Daniel Razansky. (2020). Efficient segmentation of multi-modal optoacoustic and ultrasound images using convolutional neural networks. Zurich Open Repository and Archive (University of Zurich). 93–93. 5 indexed citations

18.

Lafci, Berkan, Elena Merčep, Stefan Morscher, Xosé Luís Deán‐Ben, & Daniel Razansky. (2020). Deep Learning for Automatic Segmentation of Hybrid Optoacoustic Ultrasound (OPUS) Images. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 68(3). 688–696. 33 indexed citations

19.

Lafci, Berkan, et al.. (2017). Cost-Effective, Microstrip Antenna Driven Ring Resonator Microwave Biosensor for Biospecific Detection of Glucose. IEEE Journal of Selected Topics in Quantum Electronics. 23(2). 404–409. 48 indexed citations

20.

Lafci, Berkan, et al.. (2016). A Microwave Ring Resonator Based Glucose Sensor. Procedia Engineering. 168. 465–468. 30 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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