David Dov

573 total citations
24 papers, 356 citations indexed

About

David Dov is a scholar working on Artificial Intelligence, Signal Processing and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, David Dov has authored 24 papers receiving a total of 356 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 10 papers in Signal Processing and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in David Dov's work include Speech and Audio Processing (10 papers), AI in cancer detection (8 papers) and Music and Audio Processing (8 papers). David Dov is often cited by papers focused on Speech and Audio Processing (10 papers), AI in cancer detection (8 papers) and Music and Audio Processing (8 papers). David Dov collaborates with scholars based in Israel, United States and Saudi Arabia. David Dov's co-authors include Israel Cohen, Lawrence Carin, Ronen Talmon, Ricardo Henao, Shahar Z. Kovalsky, Jonathan Cohen, Joseph Y. Lo, Maciej A. Mazurowski, Rachel Lea Draelos and Geoffrey D. Rubin and has published in prestigious journals such as IEEE Transactions on Signal Processing, American Journal Of Pathology and Investigative Ophthalmology & Visual Science.

In The Last Decade

David Dov

22 papers receiving 338 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Dov Israel 10 158 152 99 44 42 24 356
Hung N. Pham Vietnam 8 120 0.8× 145 1.0× 16 0.2× 5 0.1× 22 0.5× 19 365
Aaron Loh United States 3 189 1.2× 227 1.5× 23 0.2× 10 0.2× 4 0.1× 3 375
Yanda Meng United Kingdom 11 227 1.4× 252 1.7× 5 0.1× 71 1.6× 12 0.3× 28 504
Jahanzaib Latif China 8 185 1.2× 106 0.7× 25 0.3× 79 1.8× 2 0.0× 9 338
Yin Dai China 9 156 1.0× 162 1.1× 13 0.1× 9 0.2× 5 0.1× 14 455
Alican Bozkurt United States 12 189 1.2× 89 0.6× 12 0.1× 83 1.9× 1 0.0× 24 384
Chaoyu Chen China 8 98 0.6× 118 0.8× 18 0.2× 6 0.1× 3 0.1× 18 336
Soroosh Tayebi Arasteh Germany 10 217 1.4× 185 1.2× 8 0.1× 4 0.1× 3 0.1× 25 455
Yaping Huang China 5 184 1.2× 112 0.7× 102 1.0× 6 0.1× 1 0.0× 16 412
Zhineng Chen China 10 142 0.9× 135 0.9× 12 0.1× 58 1.3× 1 0.0× 29 408

Countries citing papers authored by David Dov

Since Specialization
Citations

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

Fields of papers citing papers by David Dov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Dov

This figure shows the co-authorship network connecting the top 25 collaborators of David Dov. A scholar is included among the top collaborators of David Dov 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 David Dov. David Dov 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.
Dov, David, Jonathan Cohen, Daniel J. Rocke, et al.. (2023). Deep-Learning–Based Screening and Ancillary Testing for Thyroid Cytopathology. American Journal Of Pathology. 193(9). 1185–1194. 6 indexed citations
2.
Dov, David, Richard Davis, Shahar Z. Kovalsky, et al.. (2023). Thyroid Cytopathology Cancer Diagnosis from Smartphone Images Using Machine Learning. Modern Pathology. 36(6). 100129–100129. 11 indexed citations
3.
4.
Glass, Carolyn, Kyle J. Lafata, William R. Jeck, et al.. (2021). The Role of Machine Learning in Cardiovascular Pathology. Canadian Journal of Cardiology. 38(2). 234–245. 11 indexed citations
5.
Dov, David, Shahar Z. Kovalsky, Qizhang Feng, et al.. (2021). Use of Machine Learning–Based Software for the Screening of Thyroid Cytopathology Whole Slide Images. Archives of Pathology & Laboratory Medicine. 146(7). 872–878. 22 indexed citations
6.
Dov, David, Jiaoti Huang, John F. Madden, et al.. (2021). A Hybrid Human–Machine Learning Approach for Screening Prostate Biopsies Can Improve Clinical Efficiency Without Compromising Diagnostic Accuracy. Archives of Pathology & Laboratory Medicine. 146(6). 727–734. 7 indexed citations
7.
Mariottoni, Eduardo B., Shounak Datta, David Dov, et al.. (2020). A Deep Learning-Based Mapping of Structure to Function in Glaucoma. Investigative Ophthalmology & Visual Science. 61(7). 3213–3213. 1 indexed citations
8.
Dov, David, et al.. (2020). Application of a machine learning algorithm to predict malignancy in thyroid cytopathology. Cancer Cytopathology. 128(4). 287–295. 71 indexed citations
9.
Draelos, Rachel Lea, David Dov, Maciej A. Mazurowski, et al.. (2020). Machine-learning-based multiple abnormality prediction with large-scale chest computed tomography volumes. Medical Image Analysis. 67. 101857–101857. 46 indexed citations
10.
Mariottoni, Eduardo B., Shounak Datta, David Dov, et al.. (2020). Artificial Intelligence Mapping of Structure to Function in Glaucoma. Translational Vision Science & Technology. 9(2). 19–19. 44 indexed citations
11.
Dov, David, Shahar Z. Kovalsky, Jonathan Cohen, et al.. (2019). A Deep-Learning Algorithm for Thyroid Malignancy Prediction From Whole Slide Cytopathology Images.. arXiv (Cornell University). 5 indexed citations
12.
Dov, David, et al.. (2019). Thyroid Cancer Malignancy Prediction From Whole Slide Cytopathology Images. 553–570. 6 indexed citations
13.
Dov, David, Ronen Talmon, & Israel Cohen. (2018). Sequential Audio-Visual Correspondence With Alternating Diffusion Kernels. IEEE Transactions on Signal Processing. 66(12). 3100–3111. 2 indexed citations
14.
Aides, Amit, David Dov, & Hagai Aronowitz. (2018). Robust Audiovisual Liveness Detection for Biometric Authentication Using Deep Joint Embedding and Dynamic Time Warping. 10117. 3026–3030. 1 indexed citations
15.
Dov, David, Ronen Talmon, & Israel Cohen. (2017). Multimodal Kernel Method for Activity Detection of Sound Sources. IEEE/ACM Transactions on Audio Speech and Language Processing. 25(6). 1322–1334. 8 indexed citations
16.
Dov, David, et al.. (2017). A deep architecture for audio-visual voice activity detection in the presence of transients. Signal Processing. 142. 69–74. 22 indexed citations
17.
Dov, David, et al.. (2017). Transient Interference Suppression in Speech Signals Based on The OM_LSA Algorithm. 1–4. 5 indexed citations
18.
Dov, David, Ronen Talmon, & Israel Cohen. (2016). Kernel Method for Voice Activity Detection in the Presence of Transients. IEEE/ACM Transactions on Audio Speech and Language Processing. 24(12). 2313–2326. 13 indexed citations
19.
Dov, David, Ronen Talmon, & Israel Cohen. (2016). Kernel method for speech source activity detection in multi-modal signals. 295. 1–5. 1 indexed citations
20.
Dov, David, Ronen Talmon, & Israel Cohen. (2015). Audio-Visual Voice Activity Detection Using Diffusion Maps. IEEE/ACM Transactions on Audio Speech and Language Processing. 23(4). 732–745. 39 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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