Adrian Ciobanu

512 citations
39 papers · 316 · h-index 7

Impact in

Papers in

    • Image Retrieval and Classification Techniques 5
    • Advanced Image Processing Techniques 3
    • Image and Signal Denoising Methods 3
    • Advanced Data Compression Techniques 3
    • Colorectal Cancer Screening and Detection 10

Adrian Ciobanu

34 papers receiving 289 citations

Peers

Adrian Ciobanu
Comparison fields: 5 of 76
  • Biomaterials 148
  • Environmental Chemistry 43
  • Health Informatics 5
  • Oceanography 42
  • Computer Vision and Pattern Recognition 62
Replace Aníbal Pedraza with:
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María Borrego‐Ramos Spain
Yifeng Zeng United States
Shuwen Hu China
Paul Bosch Chile
Jiawei Liu China
Norihiko Yoshida Japan
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Hongyu Li China
Adrian Ciobanu relative to Aníbal Pedraza Spain Aníbal Pedraza's profile →
Citations per field
00.5×8.6×
Aníbal Pedraza · 1×
Citations per year

Countries citing papers authored by Adrian Ciobanu

Since Specialization
Citations

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

Fields of papers citing papers by Adrian Ciobanu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004161
2 200321
3 202218
4 202312
5 201512
6 20219
7 20138
8 20136
9 20235
10 20145
11 20145
12 20135
13 20144
14 20074
15 20144
16 20194
17 20023
18 20143
19 20203
20 20173

About Adrian Ciobanu

Adrian Ciobanu is a scholar working on Computer Vision and Pattern Recognition, Oncology, Signal Processing, Artificial Intelligence and Pulmonary and Respiratory Medicine, having authored 39 papers that have together received 316 indexed citations. Recurring topics across this work include Colorectal Cancer Screening and Detection (10 papers), Biometric Identification and Security (5 papers), Image Retrieval and Classification Techniques (5 papers), Advanced Image Processing Techniques (3 papers), TiO2 Photocatalysis and Solar Cells (3 papers), Image and Signal Denoising Methods (3 papers), Advanced Data Compression Techniques (3 papers) and Diatoms and Algae Research (3 papers). The work is most often cited by research in Biomaterials (148 citations), Environmental Chemistry (43 citations), Health Informatics (5 citations), Oceanography (42 citations) and Computer Vision and Pattern Recognition (62 citations). Adrian Ciobanu has collaborated with scholars based in Romania, United Kingdom and Portugal. Frequent co-authors include J. M. H. du Buf, Micha Bayer, Stephen J. M. Droop, David G. Mann, Sarah M. McDonald, Victor A. Chepurnov, Tudor Barbu, Vasile Drug, Hamid Reza Shahbazkia and Randolph C. Head. Their work appears in journals such as Endoscopy, Semiconductor Science and Technology, Phycologia, International Journal of Conservation Science and Journal of Applied 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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