Andreas Hadjiprocopis

459 total citations
16 papers, 321 citations indexed

About

Andreas Hadjiprocopis is a scholar working on Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine and Computer Vision and Pattern Recognition. According to data from OpenAlex, Andreas Hadjiprocopis has authored 16 papers receiving a total of 321 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Pathology and Forensic Medicine and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Andreas Hadjiprocopis's work include Multiple Sclerosis Research Studies (5 papers), 3D Surveying and Cultural Heritage (4 papers) and Ultrasound Imaging and Elastography (3 papers). Andreas Hadjiprocopis is often cited by papers focused on Multiple Sclerosis Research Studies (5 papers), 3D Surveying and Cultural Heritage (4 papers) and Ultrasound Imaging and Elastography (3 papers). Andreas Hadjiprocopis collaborates with scholars based in United Kingdom, Greece and Cyprus. Andreas Hadjiprocopis's co-authors include Paul S. Tofts, Waqar Rashid, David H. Miller, Declan Chard, Alan J. Thompson, Gareth J. Barker, Colette Griffin, Gerard R. Davies, Ravish Kapoor and Daniel R. Altmann and has published in prestigious journals such as Journal of Proteome Research, Journal of Chemical Information and Modeling and Journal of Neurology.

In The Last Decade

Andreas Hadjiprocopis

15 papers receiving 317 citations

Peers

Andreas Hadjiprocopis
Comparison fields: 5 of 81
  • Pathology and Forensic Medicine 144
  • Radiology, Nuclear Medicine and Imaging 130
  • Molecular Biology 58
  • Computer Vision and Pattern Recognition 51
  • Rheumatology 42
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Citations per field, relative to Andreas Hadjiprocopis
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Citations per year, relative to Andreas Hadjiprocopis
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Countries citing papers authored by Andreas Hadjiprocopis

Since Specialization
Citations

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

Fields of papers citing papers by Andreas Hadjiprocopis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andreas Hadjiprocopis

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

All Works

16 of 16 papers shown
# Work Indexed citations
1 4
2 29
3 8
4 0
5 40
6 12
7 11
8 25
9 38
10 61
11 17
12 19
13 39
14 6
15 11
16
Feed Forward Neural Network Entities in Time Series Prediction and Image Classification.
1

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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