David Dov

615 citations
25 papers · 416 · h-index 10

Impact in

Papers in

David Dov

24 papers receiving 391 citations

Peers

David Dov
Comparison fields: 5 of 75
  • Health Informatics 32
  • Signal Processing 105
  • Radiology, Nuclear Medicine and Imaging 130
  • Artificial Intelligence 162
  • Ophthalmology 33
Replace Aaron Loh with:
Aaron Loh United States
Yin Dai China
Xuedong Yuan China
G. Ananth Prabhu India
Rayan Krishnan United States
Murali Krishna Puttagunta India
Ehab A. AlBadawy United States
Abin Jose Germany
Yongjun Chang South Korea
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Citations per year

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-authors

The 25 scholars most cited alongside David Dov, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with David Dov Line = papers co-authored together David Dov links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202080
2 202058
3 202052
4 201543
5 202123
6 201723
7 201620
8 202314
9 202114
10 201614
11 202110
12 202010
13 20149
14 20239
15 20179
16 20177
17
Thyroid Cancer Malignancy Prediction From Whole Slide Cytopathology Images
20196
18 20205
19 20183
20 20212

About David Dov

David Dov is a scholar working on Signal Processing, Artificial Intelligence, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Computational Mechanics, having authored 25 papers that have together received 416 indexed citations. Recurring topics across this work include Speech and Audio Processing (10 papers), Music and Audio Processing (8 papers), AI in cancer detection (7 papers), Advanced Adaptive Filtering Techniques (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Speech Recognition and Synthesis (3 papers), Digital Imaging for Blood Diseases (2 papers) and Cervical Cancer and HPV Research (2 papers). The work is most often cited by research in Health Informatics (32 citations), Signal Processing (105 citations), Radiology, Nuclear Medicine and Imaging (130 citations), Artificial Intelligence (162 citations) and Ophthalmology (33 citations). David Dov has collaborated with scholars based in Israel, United States and Saudi Arabia. Frequent co-authors include Israel Cohen, Lawrence Carin, Ronen Talmon, Ricardo Henao, Shahar Z. Kovalsky, Jonathan Cohen, Rachel Lea Draelos, Geoffrey D. Rubin, Maciej A. Mazurowski and Joseph Y. Lo. Their work appears in journals such as IEEE/ACM Transactions on Audio Speech and Language Processing, IEEE Transactions on Signal Processing, Medical Image Analysis, Archives of Pathology & Laboratory Medicine and Cancer Cytopathology.

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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