Daniel Mirota

835 citations
24 papers · 637 · h-index 12

Impact in

  • Radiation top 5%
    • Advanced Radiotherapy Techniques
    • Advanced Image and Video Retrieval Techniques
    • Augmented Reality Applications
    • Medical Image Segmentation Techniques
    • Advanced Vision and Imaging

Papers in

Daniel Mirota

24 papers receiving 614 citations

Peers

Daniel Mirota
Comparison fields: 5 of 69
  • Radiation 97
  • Computer Vision and Pattern Recognition 231
  • Radiology, Nuclear Medicine and Imaging 131
  • Otorhinolaryngology 22
  • Aerospace Engineering 139
Replace Michael R. Bax with:
Michael R. Bax United States
Joerg Traub Germany
S. Nithiananthan United States
Johann Hummel Austria
Sebastian Schäfer United States
Primož Markelj Slovenia
Emmanuel Wilson United States
Hirotsugu Takabatake Japan
Stéphane Lavallée France
Ankur Kapoor United States
Daniel Mirota relative to Michael R. Bax United States Michael R. Bax's profile →
Citations per field
00.5×5.9×
Michael R. Bax · 1×
Citations per year

Countries citing papers authored by Daniel Mirota

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Mirota

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011100
2 201195
3 201170
4 201149
5 201247
6 200940
7 201336
8 201135
9 200830
10 201229
11 200925
12 201119
13 200911
14 201210
15 20129
16 20117
17 20085
18 20115
19 20125
20 20124

About Daniel Mirota

Daniel Mirota is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Surgery, Biomedical Engineering and Radiation, having authored 24 papers that have together received 637 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (8 papers), Advanced Image and Video Retrieval Techniques (6 papers), Advanced Radiotherapy Techniques (4 papers), Advanced Vision and Imaging (4 papers), Augmented Reality Applications (4 papers), Head and Neck Surgical Oncology (4 papers), Surgical Simulation and Training (3 papers) and Medical Image Segmentation Techniques (2 papers). The work is most often cited by research in Radiation (97 citations), Computer Vision and Pattern Recognition (231 citations), Radiology, Nuclear Medicine and Imaging (131 citations), Otorhinolaryngology (22 citations) and Aerospace Engineering (139 citations). Daniel Mirota has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include Gregory D. Hager, Masaru Ishii, S. Nithiananthan, Sebastian Schäfer, Jeffrey H. Siewerdsen, Ali Uneri, Russell H. Taylor, J. Webster Stayman, Wojciech Zbijewski and Gary L. Gallia. Their work appears in journals such as Medical Physics, IEEE Transactions on Medical Imaging, International Journal of Computer Assisted Radiology and Surgery, IEEE Transactions on Pattern Analysis and Machine Intelligence and The Laryngoscope.

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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