Peter Stanchev

1.5k citations
75 papers · 987 · h-index 15

Impact in

Papers in

    • Image Retrieval and Classification Techniques 23
    • Advanced Image and Video Retrieval Techniques 12
    • Video Analysis and Summarization 5
    • Medical Image Segmentation Techniques 5
    • Music and Audio Processing 9
    • Data Management and Algorithms 4

Peter Stanchev

57 papers receiving 901 citations

Peers

Peter Stanchev
Comparison fields: 5 of 135
  • Radiology, Nuclear Medicine and Imaging 367
  • Rheumatology 187
  • Computer Vision and Pattern Recognition 225
  • Equine 12
  • Orthopedics and Sports Medicine 56
Replace Michaël Sdika with:
Michaël Sdika France
D. Graf Keyserlingk Germany
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Citations per field
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Citations per year

Countries citing papers authored by Peter Stanchev

Since Specialization
Citations

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

Fields of papers citing papers by Peter Stanchev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993220
2 1996158
3 199793
4 199577
5 200745
6
INFORMATION THEORIES & APPLICATIONS
200345
7 199532
8
High Level Color Similarity Retrieval
200328
9 200028
10
Content-Based Image Retrieval Systems
200127
11 200721
12
GRIM_DBMS: a GRaphical IMage DataBase Management System.
198920
13
USING IMAGE MINING FOR IMAGE RETRIEVAL
200320
14
An Approach to Image Indexing of Documents
199116
15 201915
16 200714
17
On Multi-State Reliability Systems
200212
18 200911
19 19878
20 20088

About Peter Stanchev

Peter Stanchev is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Information Systems, having authored 75 papers that have together received 987 indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (23 papers), Advanced Image and Video Retrieval Techniques (12 papers), Music and Audio Processing (9 papers), Semantic Web and Ontologies (6 papers), Video Analysis and Summarization (5 papers), Advanced Neuroimaging Techniques and Applications (5 papers), Medical Image Segmentation Techniques (5 papers) and Data Management and Algorithms (4 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (367 citations), Rheumatology (187 citations), Computer Vision and Pattern Recognition (225 citations), Equine (12 citations) and Orthopedics and Sports Medicine (56 citations). Peter Stanchev has collaborated with scholars based in United States, Bulgaria and Canada. Frequent co-authors include Simon J. Graham, Michael Bronskill, J. D. Rubenstein, R. Mark Henkelman, M. J. Bronskill, Sandra E. Black, Boyan N. Dimitrov, Brian Buck, Jayson L. Parker and Fausto Rabitti. Their work appears in journals such as Journal of Magnetic Resonance Imaging, IEEE Multimedia, Journal of the Association for Information Systems, Magnetic Resonance in Medicine and NeuroImage.

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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