E. Sharon

1.6k citations
14 papers · 1.0k indexed · h-index 10

E. Sharon

14 papers receiving 967 citations

Peers

E. Sharon
Comparison fields: 5 of 98
  • Computer Vision and Pattern Recognition 802
  • Computer Graphics and Computer-Aided Design 51
  • Media Technology 123
  • Geometry and Topology 65
  • Biophysics 40
Replace Leo Dorst with:
Leo Dorst Netherlands
E. Persoon Netherlands
Haruo Asada United States
Gösta H. Granlund Sweden
Olivier Lézoray France
Yosi Keller Israel
Yehoshua Y. Zeevi Israel
W.E. Snyder United States
Peter Ochs Germany
R. van den Boomgaard Netherlands
E. Sharon relative to Leo Dorst Netherlands Leo Dorst's profile →
Citations per field
00.5×2.9×
Leo Dorst · 1×
Citations per year

Countries citing papers authored by E. Sharon

Since Specialization
Citations

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

Fields of papers citing papers by E. Sharon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 17 scholars most cited alongside E. Sharon, 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 E. Sharon Line = papers co-authored together E. Sharon links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 20251
2 20089
3 2006155
4 2006164
5 2006107
6
Multilevel Segmentation and Integrated Bayesian Model Classification with an Application to Brain Tumor Segmentation - eScholarship
20062
7 200572
8 2005185
9 200428
10 200447
11
Texture segmentation by multiscale aggregation of filter responses and shape elements
200336
12 2002179
13 20027
14 200045

About E. Sharon

E. Sharon is a scholar working on Computer Vision and Pattern Recognition, Biophysics and Geometry and Topology, having authored 14 papers that have together received 1.0k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (11 papers), Image Retrieval and Classification Techniques (6 papers), Advanced Vision and Imaging (3 papers), Advanced Image and Video Retrieval Techniques (3 papers), Cell Image Analysis Techniques (3 papers), Morphological variations and asymmetry (2 papers), Enhanced Oil Recovery Techniques (2 papers) and 3D Shape Modeling and Analysis (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (802 citations), Computer Graphics and Computer-Aided Design (51 citations) and Media Technology (123 citations). E. Sharon has collaborated with scholars based in Israel, United States and India. Frequent co-authors include Ronen Basri, Achi Brandt, Meirav Galun, D. Mumford, Eran Borenstein, Shimon Ullman, Lena Gorelick, Dahlia Sharon, Alan Yuille and Usha Sinha. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Plant Biotechnology Journal, Nature, IEEE Transactions on Medical Imaging and International Journal of Computer Vision.

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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