Neculai Archip
- Computer Vision and Pattern Recognition top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Biomedical Engineering
- Genetics
- Surgery
- Co-authors
- Simon K. WarfieldFerenc A. JóleszAlexandra J. GolbyOlivier ClatzRobert RohlingPeter McL. BlackNikos ChrisochoidesAndriy Fedorov
- Topics
- Medical Image Segmentation Techniques (13 papers)Advanced MRI Techniques and Applications (6 papers)Medical Imaging and Analysis (5 papers)
- Cited by
- Computer Vision and Pattern RecognitionRadiology, Nuclear Medicine and ImagingComputer Graphics and Computer-Aided Design
- Partner nations
- United StatesCanadaSwitzerland
In The Last Decade
Neculai Archip
23 papers receiving 399 citations
Peers
Comparison fields: 5 of 73
- Computer Vision and Pattern Recognition 205
- Radiology, Nuclear Medicine and Imaging 200
- Biomedical Engineering 146
- Genetics 50
- Surgery 36
Countries citing papers authored by Neculai Archip
This map shows the geographic impact of Neculai Archip'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 Neculai Archip with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neculai Archip more than expected).
Fields of papers citing papers by Neculai Archip
This network shows the impact of papers produced by Neculai Archip. 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 Neculai Archip. The network helps show where Neculai Archip may publish in the future.
Co-authorship network of co-authors of Neculai Archip
This figure shows the co-authorship network connecting the top 25 collaborators of Neculai Archip. A scholar is included among the top collaborators of Neculai Archip 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 Neculai Archip. Neculai Archip is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 17 | |
| 2 | 7 | |
| 3 | 31 | |
| 4 | 25 | |
| 5 | 119 | |
| 6 | 23 | |
| 7 | 3 | |
| 8 | 28 | |
| 9 | 1 | |
| 10 | 8 | |
| 11 | 8 | |
| 12 | 14 | |
| 13 | 22 | |
| 14 | 1 | |
| 15 | 1 | |
| 16 | 2 | |
| 17 | A color image segmentation method based on seeded region growing and visual attention | 4 |
| 18 | 1 | |
| 19 | 58 | |
| 20 | 4 |
About Neculai Archip
Neculai Archip is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Radiation, having authored 23 papers that have together received 422 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (13 papers), Advanced MRI Techniques and Applications (6 papers) and Medical Imaging and Analysis (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (205 citations), Radiology, Nuclear Medicine and Imaging (200 citations) and Computer Graphics and Computer-Aided Design (19 citations). Neculai Archip has collaborated with scholars based in United States, Canada and Switzerland. Frequent co-authors include Simon K. Warfield, Ferenc A. Jólesz, Alexandra J. Golby, Olivier Clatz, Robert Rohling, Peter McL. Black, Nikos Chrisochoides, Andriy Fedorov, Stephen Whalen and M. Egmont‐Petersen. Their work appears in journals such as NeuroImage, Journal of Biomechanics and IEEE Transactions on Medical Imaging.
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.