Peter Stanchev

1.5k total citations
75 papers, 987 citations indexed

About

Peter Stanchev is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Peter Stanchev has authored 75 papers receiving a total of 987 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Computer Vision and Pattern Recognition, 14 papers in Signal Processing and 12 papers in Artificial Intelligence. Recurrent topics in Peter Stanchev's work include Image Retrieval and Classification Techniques (23 papers), Advanced Image and Video Retrieval Techniques (12 papers) and Music and Audio Processing (9 papers). Peter Stanchev is often cited by papers focused on Image Retrieval and Classification Techniques (23 papers), Advanced Image and Video Retrieval Techniques (12 papers) and Music and Audio Processing (9 papers). Peter Stanchev collaborates with scholars based in United States, Bulgaria and Canada. Peter Stanchev's 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 Donald B. Plewes and has published in prestigious journals such as SHILAP Revista de lepidopterología, NeuroImage and Neurology.

In The Last Decade

Peter Stanchev

57 papers receiving 901 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Peter Stanchev United States 15 367 225 187 127 92 75 987
Michaël Sdika France 16 517 1.4× 195 0.9× 54 0.3× 152 1.2× 54 0.6× 45 946
Usha Sinha United States 23 1.7k 4.5× 145 0.6× 76 0.4× 314 2.5× 93 1.0× 90 2.3k
Boubakeur Belaroussi France 10 426 1.2× 143 0.6× 41 0.2× 55 0.4× 30 0.3× 19 806
Olivier Commowick France 24 787 2.1× 693 3.1× 39 0.2× 292 2.3× 166 1.8× 73 1.7k
Shohei Fujita Japan 26 1.1k 3.1× 55 0.2× 47 0.3× 154 1.2× 192 2.1× 130 2.1k
Ferrán Prados United Kingdom 25 866 2.4× 68 0.3× 280 1.5× 179 1.4× 79 0.9× 143 2.3k
Hiroki Tamura Japan 17 200 0.5× 102 0.5× 17 0.1× 191 1.5× 257 2.8× 155 1.6k
David Metcalf United States 12 352 1.0× 304 1.4× 25 0.1× 110 0.9× 46 0.5× 14 829
Yoon‐Chul Kim South Korea 20 387 1.1× 122 0.5× 34 0.2× 164 1.3× 212 2.3× 71 1.3k
D. Graf Keyserlingk Germany 16 228 0.6× 46 0.2× 73 0.4× 104 0.8× 119 1.3× 50 1.2k

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-authorship network of co-authors of Peter Stanchev

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Stanchev. A scholar is included among the top collaborators of Peter Stanchev 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 Peter Stanchev. Peter Stanchev 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
1.
Stanchev, Peter, et al.. (2024). The 15th National Information Day: Open Science, Open Data, Open Access, Bulgarian Open Science Cloud. SHILAP Revista de lepidopterología. 14. 313–322.
2.
Stanchev, Peter & Krassen Stefanov. (2019). Bulgarian Open Science Cloud. SHILAP Revista de lepidopterología. 9. 259–264.
3.
Stanchev, Peter, et al.. (2017). Smart Multifunctional Digital Content Ecosystem Using Emotion Analysis of Voice. 58–64. 4 indexed citations
4.
Stanchev, Peter, et al.. (2015). El papel del espacio público en la ciudad de Mérida. El caso de Paseo de Montejo. Dialnet (Universidad de la Rioja). 1(2). 27–37.
5.
Stanchev, Peter, et al.. (2012). Establishing Correspondences between Attribute Spaces and Complex Concept Spaces Using Meta-PGN Classifier. SHILAP Revista de lepidopterología. 2. 71–77. 1 indexed citations
6.
Stanchev, Peter, et al.. (2010). Semantic and abstraction content of art images. Journal of the Association for Information Systems. 42. 1 indexed citations
7.
Vanhoof, Koen, et al.. (2009). "PaGaNe" – A CLASSIFICATION MACHINE LEARNING SYSTEM BASED ON THE MULTIDIMENSIONAL NUMBERED INFORMATION SPACES. Document Server@UHasselt (UHasselt). 279–286. 4 indexed citations
8.
Dimitrov, Boyan N., et al.. (2007). Aging and longevity control of biological systems via drugs – a reliability model. Kettering University Digital Commons (Kettering University). 2(2). 10–20.
9.
Witelson, Sandra F., Debra L. Kigar, Brian Buck, et al.. (2007). Corpus Callosum Anatomy in Right-Handed Homosexual and Heterosexual Men. Archives of Sexual Behavior. 37(6). 857–863. 45 indexed citations
10.
Stanchev, Peter, David Green, & Boyan N. Dimitrov. (2006). Some Issues in the Art Image Database Systems. Journal of Digital Information Management. 4(4). 227–232. 6 indexed citations
11.
Stanchev, Peter, David Green, & Boyan N. Dimitrov. (2005). Semantic Notation and Retrieval in Art and Architecture Image Collections. Journal of Digital Information Management. 3(4). 218–221. 1 indexed citations
12.
Amato, Giuseppe, Fabrizio Falchi, Claudio Gennaro, et al.. (2004). IMPROVING IMAGE SIMILARITY SEARCH EFFECTIVENESS IN A MULTIMEDIA CONTENT MANAGEMENT SYSTEM. 7 indexed citations
13.
Stanchev, Peter, David Green, & Boyan N. Dimitrov. (2003). High Level Color Similarity Retrieval. Kettering University Digital Commons (Kettering University). 10(3). 283–287. 28 indexed citations
14.
Grosky, William I. & Peter Stanchev. (2001). Object-Oriented Image Database Model. Computers and Their Applications. 55(6). 94–97. 6 indexed citations
15.
Black, Sandra E., Scott D. Moffat, David C. Yu, et al.. (2000). Callosal Atrophy Correlates with Temporal Lobe Volume and Mental Status in Alzheimer's Disease. Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques. 27(3). 204–209. 28 indexed citations
16.
Kidron, Debora, Sandra E. Black, Peter Stanchev, et al.. (1997). Quantitative MR volumetry in Alzheimer's disease. Neurology. 49(6). 1504–1512. 93 indexed citations
17.
Graham, Simon J., Peter Stanchev, & Michael Bronskill. (1996). Criteria for analysis of multicomponent tissue T2 relaxation data. Magnetic Resonance in Medicine. 35(3). 370–378. 158 indexed citations
18.
Graham, Simon J., et al.. (1995). Changes in fibroglandular volume and water content of breast tissue during the menstrual cycle observed by MR imaging at 1.5 t. Journal of Magnetic Resonance Imaging. 5(6). 695–701. 77 indexed citations
19.
Wood, Michael L., et al.. (1995). Planar‐motion correction with use of k‐space data acquired in fourier MR imaging. Journal of Magnetic Resonance Imaging. 5(1). 57–64. 32 indexed citations
20.
Rubenstein, J. D., et al.. (1993). Effects of collagen orientation on MR imaging characteristics of bovine articular cartilage.. Radiology. 188(1). 219–226. 220 indexed citations

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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