Andru Putra Twinanda
- Surgery top 10%
- Biomedical Engineering top 10%
- Computer Vision and Pattern Recognition top 5%
- Oncology
- Cardiology and Cardiovascular Medicine
- Co-authors
- Nicolas PadoyJacques MarescauxDidier MutterMichel de MathelinAfshin GangiKarlijn J. van StralenQ. A. J. EijsboutsIswandi Imran
- Topics
- Surgical Simulation and Training (4 papers)Colorectal Cancer Screening and Detection (3 papers)Colorectal Cancer Surgical Treatments (2 papers)
- Journals
- IEEE Transactions on Medical ImagingSurgical EndoscopyEngineering Applications of Artificial Intelligence
- Partner nations
- FranceNetherlandsIndonesia
In The Last Decade
Andru Putra Twinanda
7 papers receiving 728 citations
Hit Papers
Peers
Comparison fields: 5 of 74
- Surgery 507
- Biomedical Engineering 302
- Computer Vision and Pattern Recognition 226
- Oncology 149
- Cardiology and Cardiovascular Medicine 88
Countries citing papers authored by Andru Putra Twinanda
This map shows the geographic impact of Andru Putra Twinanda'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 Andru Putra Twinanda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andru Putra Twinanda more than expected).
Fields of papers citing papers by Andru Putra Twinanda
This network shows the impact of papers produced by Andru Putra Twinanda. 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 Andru Putra Twinanda. The network helps show where Andru Putra Twinanda may publish in the future.
Co-authorship network of co-authors of Andru Putra Twinanda
This figure shows the co-authorship network connecting the top 25 collaborators of Andru Putra Twinanda. A scholar is included among the top collaborators of Andru Putra Twinanda 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 Andru Putra Twinanda. Andru Putra Twinanda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | 23 | |
| 3 | 72 | |
| 4 | EndoNet: A Deep Architecture for Recognition Tasks on Laparoscopic Videosbreakdown → | 579 |
| 5 | 10 | |
| 6 | 33 | |
| 7 | 11 |
About Andru Putra Twinanda
Andru Putra Twinanda is a scholar working on Computer Vision and Pattern Recognition, Oncology and Signal Processing, having authored 7 papers that have together received 742 indexed citations. Recurring topics across this work include Surgical Simulation and Training (4 papers), Colorectal Cancer Screening and Detection (3 papers) and Colorectal Cancer Surgical Treatments (2 papers). The work is most often cited by research in Health Informatics (74 citations), Surgery (507 citations) and Computer Vision and Pattern Recognition (226 citations). Andru Putra Twinanda has collaborated with scholars based in France, Netherlands and Indonesia. Frequent co-authors include Nicolas Padoy, Jacques Marescaux, Didier Mutter, Michel de Mathelin, Afshin Gangi, Karlijn J. van Stralen, Q. A. J. Eijsbouts, Iswandi Imran, Matthijs C. M. Grimbergen and John J. van den Dobbelsteen. Their work appears in journals such as IEEE Transactions on Medical Imaging, Surgical Endoscopy and Engineering Applications of Artificial Intelligence.
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.