Andrik Rampun

919 citations
21 papers · 629 indexed · h-index 12
Topics
AI in cancer detection (16 papers)Medical Image Segmentation Techniques (11 papers)Radiomics and Machine Learning in Medical Imaging (10 papers)
Partner nations
United KingdomChinaSpain

In The Last Decade

Andrik Rampun

19 papers receiving 607 citations

Peers

Andrik Rampun
Comparison fields: 5 of 79
  • Artificial Intelligence 504
  • Radiology, Nuclear Medicine and Imaging 401
  • Computer Vision and Pattern Recognition 200
  • Pulmonary and Respiratory Medicine 120
  • Neurology 82
Replace Neeraj Dhungel with:
Neeraj Dhungel Australia
Wenqing Sun China
Yaniv Bar Israel
Afsaneh Jalalian Iran
Caleb Richter United States
Dina A. Ragab Egypt
Jie-Zhi Cheng Taiwan
Wen-Jie Wu Taiwan
Eduardo Castro Portugal
Adam P. Harrison United States
Andrik Rampun relative to Neeraj Dhungel Australia Neeraj Dhungel's profile →
Citations per field
00.5×1.5×
Neeraj Dhungel · 1×
Citations per year

Countries citing papers authored by Andrik Rampun

Since Specialization
Citations

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

Fields of papers citing papers by Andrik Rampun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrik Rampun

This figure shows the co-authorship network connecting the top 25 collaborators of Andrik Rampun. A scholar is included among the top collaborators of Andrik Rampun 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 Andrik Rampun. Andrik Rampun is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 8
3 12
4 19
5 58
6 6
7 41
8 54
9 200
10 17
11 63
12 11
13 59
14 11
15 31
16 3
17 0
18 8
19 1
20 24

About Andrik Rampun

Andrik Rampun is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging, having authored 21 papers that have together received 629 indexed citations. Recurring topics across this work include AI in cancer detection (16 papers), Medical Image Segmentation Techniques (11 papers) and Radiomics and Machine Learning in Medical Imaging (10 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (401 citations), Artificial Intelligence (504 citations) and Neurology (82 citations). Andrik Rampun has collaborated with scholars based in United Kingdom, China and Spain. Frequent co-authors include Reyer Zwiggelaar, Bryan Scotney, Hui Wang, Philip Morrow, Azam Hamidinekoo, Erika Denton, John Winder, Jing Zhong, Peng Shi and Paul Malcolm. Their work appears in journals such as Physics in Medicine and Biology, Journal of Medical Internet Research and Medical 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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