Adrian M. Peter

505 citations
34 papers · 343 · h-index 10

Impact in

Papers in

    • Image Retrieval and Classification Techniques 5
    • Medical Image Segmentation Techniques 4
    • Image Processing and 3D Reconstruction 4
    • Music and Audio Processing 4
    • Speech and Audio Processing 4
    • Blind Source Separation Techniques 3

Adrian M. Peter

34 papers receiving 331 citations

Peers

Adrian M. Peter
Comparison fields: 5 of 87
  • Computer Vision and Pattern Recognition 143
  • Geometry and Topology 40
  • Signal Processing 47
  • Developmental Biology 7
  • Software 12
Replace Christian Knauer with:
Christian Knauer Germany
Predrag Neskovic United States
Yongquan Zhang China
Lutz Schröder Germany
Meizhu Liu United States
Stefan Schirra Germany
D. A. Podoprikhin Russia
Efi Fogel Israel
Bao Li China
Adrian M. Peter relative to Christian Knauer Germany Christian Knauer's profile →
Citations per field
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Christian Knauer · 1×
Citations per year

Countries citing papers authored by Adrian M. Peter

Since Specialization
Citations

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

Fields of papers citing papers by Adrian M. Peter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Adrian M. Peter, 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 M. Peter Line = papers co-authored together Adrian M. Peter links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201449
2 200836
3 200934
4 200632
5 201427
6 202120
7 201619
8 200917
9 200815
10 20119
11 20069
12 20139
13 20208
14 20186
15 20186
16 20126
17 20165
18 20184
19 20194
20 20134

About Adrian M. Peter

Adrian M. Peter is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Computational Mechanics, Artificial Intelligence and Computer Networks and Communications, having authored 34 papers that have together received 343 indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (5 papers), Medical Image Segmentation Techniques (4 papers), Music and Audio Processing (4 papers), Image Processing and 3D Reconstruction (4 papers), 3D Shape Modeling and Analysis (4 papers), Morphological variations and asymmetry (4 papers), Speech and Audio Processing (4 papers) and Blind Source Separation Techniques (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (143 citations), Geometry and Topology (40 citations), Signal Processing (47 citations), Developmental Biology (7 citations) and Software (12 citations). Adrian M. Peter has collaborated with scholars based in United States, India and France. Frequent co-authors include Anand Rangarajan, Carlos E. Otero, Jeffrey Ho, Ming–Hsuan Yang, Ivica Kostanic, Luis Daniel Otero, Abdulaziz Alsayyari, K. Johnston, Georgios C. Anagnostopoulos and Wesley Jones. Their work appears in journals such as IEEE Transactions on Image Processing, Monthly Notices of the Royal Astronomical Society, Applied Mathematics and Computation, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Systems Journal.

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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