Ali Khamene

2.8k citations
64 papers · 1.9k indexed · 1 hit paper · h-index 19

Ali Khamene

63 papers receiving 1.8k citations

Hit Papers

The FLARE™ Intraoperative Near-Infrared Fluorescence Imag...5472009202620142020100200300400500

Peers

Ali Khamene
Comparison fields: 5 of 132
  • Computer Vision and Pattern Recognition 703
  • Radiology, Nuclear Medicine and Imaging 543
  • Biomedical Engineering 844
  • Radiation 147
  • Human-Computer Interaction 67
Replace Frank Lindseth with:
Frank Lindseth Norway
Orçun Göksel Switzerland
Ivo Wolf Germany
Yueming Jin Hong Kong
Robert A. Kruger United States
David Chen United States
Shuichi Ozawa Japan
Tina Kapur United States
Andrea Schenk Germany
Hans‐Peter Meinzer Germany
Ali Khamene relative to Frank Lindseth Norway Frank Lindseth's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ali Khamene

Since Specialization
Citations

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

Fields of papers citing papers by Ali Khamene

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Ali Khamene, 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 Ali Khamene Line = papers co-authored together Ali Khamene links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201013
2 200922
3 20094
4 200914
5 2008246
6 20087
7 200767
8 200726
9
A novel 2D-3D registration algorithm for aligning fluoro images with 3D pre-op CT/MR images
200611
10 200637
11 200696
12 200643
13 200625
14 200531
15 200599
16 200415
17 200310
18 200228
19 2000155
20 200016

About Ali Khamene

Ali Khamene is a scholar working on Computer Vision and Pattern Recognition, Radiation, Radiology, Nuclear Medicine and Imaging, Aerospace Engineering and Human-Computer Interaction, having authored 64 papers that have together received 1.9k indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (18 papers), Advanced Vision and Imaging (17 papers), Augmented Reality Applications (16 papers), Medical Image Segmentation Techniques (13 papers), Medical Imaging Techniques and Applications (11 papers), Advanced Radiotherapy Techniques (9 papers), Surgical Simulation and Training (9 papers) and Anatomy and Medical Technology (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (703 citations), Radiology, Nuclear Medicine and Imaging (543 citations), Biomedical Engineering (844 citations), Radiation (147 citations) and Human-Computer Interaction (67 citations). Ali Khamene has collaborated with scholars based in United States, Germany and Iran. Frequent co-authors include Frank Sauer, S. Negahdaripour, Wolfgang Wein, Nassir Navab, Sebastian Vogt, Fred S. Azar, Susan L. Troyan, Rafiou Oketokoun, Long Ngo and Vida Kianzad. Their work appears in journals such as IEEE Transactions on Biomedical Engineering, Radiology, Medical Image Analysis, Computer Vision and Image Understanding and International Journal of Radiation Oncology*Biology*Physics.

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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