Bisser Raytchev

1.4k total citations
78 papers, 922 citations indexed

About

Bisser Raytchev is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Oncology. According to data from OpenAlex, Bisser Raytchev has authored 78 papers receiving a total of 922 indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Computer Vision and Pattern Recognition, 12 papers in Computer Graphics and Computer-Aided Design and 11 papers in Oncology. Recurrent topics in Bisser Raytchev's work include Image Retrieval and Classification Techniques (22 papers), Advanced Image and Video Retrieval Techniques (18 papers) and Advanced Vision and Imaging (16 papers). Bisser Raytchev is often cited by papers focused on Image Retrieval and Classification Techniques (22 papers), Advanced Image and Video Retrieval Techniques (18 papers) and Advanced Vision and Imaging (16 papers). Bisser Raytchev collaborates with scholars based in Japan, Italy and China. Bisser Raytchev's co-authors include Kazufumi Kaneda, Toru Tamaki, Shigeto Yoshida, Shinji Tanaka, Kazuaki Chayama, Yoko Kominami, Katsuhiko Sakaue, Yoji Sanomura, Tsubasa Hirakawa and Hiroshi Murase and has published in prestigious journals such as IEEE Access, Pattern Recognition and Gastrointestinal Endoscopy.

In The Last Decade

Bisser Raytchev

71 papers receiving 889 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bisser Raytchev Japan 13 403 367 295 202 169 78 922
Debesh Jha United States 15 530 1.3× 586 1.6× 145 0.5× 623 3.1× 637 3.8× 57 1.6k
Hélder P. Oliveira Portugal 20 64 0.2× 173 0.5× 207 0.7× 304 1.5× 251 1.5× 94 916
Ingmar Bitter United States 14 110 0.3× 478 1.3× 62 0.2× 143 0.7× 44 0.3× 29 773
Hidenori Sakanashi Japan 12 119 0.3× 97 0.3× 88 0.3× 167 0.8× 309 1.8× 66 624
Manuel Günther United States 15 141 0.3× 335 0.9× 46 0.2× 56 0.3× 332 2.0× 42 917
Mohamed El Ansari Morocco 19 240 0.6× 553 1.5× 84 0.3× 182 0.9× 193 1.1× 90 1.0k
Jorge Bernal Spain 11 1.2k 3.0× 1.2k 3.4× 245 0.8× 1.0k 5.0× 883 5.2× 34 2.4k
Youngbae Hwang South Korea 14 78 0.2× 520 1.4× 67 0.2× 35 0.2× 56 0.3× 66 802
Claire Chalopin Germany 19 108 0.3× 225 0.6× 131 0.4× 591 2.9× 121 0.7× 82 1.1k

Countries citing papers authored by Bisser Raytchev

Since Specialization
Citations

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

Fields of papers citing papers by Bisser Raytchev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bisser Raytchev

This figure shows the co-authorship network connecting the top 25 collaborators of Bisser Raytchev. A scholar is included among the top collaborators of Bisser Raytchev 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 Bisser Raytchev. Bisser Raytchev 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.
Raytchev, Bisser, Abdussalam Elhanashi, Yoichi Ogata, et al.. (2023). Fast detection of bag-breakups in pulsating and steady airflow using video analysis and deep learning. Journal of Real-Time Image Processing. 20(6). 1 indexed citations
2.
Takahashi, Haruya, Toru Higaki, Bisser Raytchev, & Kazufumi Kaneda. (2023). Reproduction of color vision deficiency considering spectrum. 27–27.
3.
Raytchev, Bisser, Kazufumi Kaneda, Yasufumi Yamada, et al.. (2021). Localization of Flying Bats from Multichannel Audio Signals by Estimating Location Map with Convolutional Neural Networks. Journal of Robotics and Mechatronics. 33(3). 515–525. 2 indexed citations
4.
Tamaki, Toru, et al.. (2020). An Entropy Clustering Approach for Assessing Visual Question Difficulty. IEEE Access. 8. 180633–180645. 2 indexed citations
5.
Okamoto, Takumi, Tetsushi Koide, Shigeto Yoshida, et al.. (2020). Classification Method with CNN features and SVM for Computer-Aided Diagnosis System in Colorectal Magnified NBI Endoscopy. 9. 1095–1100. 1 indexed citations
6.
Tamaki, Toru, Tsubasa Hirakawa, Bisser Raytchev, et al.. (2016). Transfer Learning for Endoscopic Image Classification. IEICE Technical Report; IEICE Tech. Rep.. 115(401). 223–227. 1 indexed citations
7.
Mori, Kotaro, et al.. (2016). Binocular tone reproduction display for an HDR panorama image. 131–131. 1 indexed citations
8.
Raytchev, Bisser, Takio Kurita, Toru Tamaki, et al.. (2015). Automatic detection of good/bad colonies of iPS cells using local features. Lecture notes in computer science. 9352. 153–160. 4 indexed citations
9.
Kominami, Yoko, Shigeto Yoshida, Shinji Tanaka, et al.. (2015). Computer-aided diagnosis of colorectal polyp histology by using a real-time image recognition system and narrow-band imaging magnifying colonoscopy. Gastrointestinal Endoscopy. 83(3). 643–649. 190 indexed citations
10.
Okamoto, Takumi, Tetsushi Koide, Tatsuya Shimizu, et al.. (2015). Image segmentation of pyramid style identifier based on Support Vector Machine for colorectal endoscopic images. PubMed. 2015. 2997–3000. 8 indexed citations
11.
Higaki, Toru, et al.. (2015). Volume Rendering using Grid Computing for Large-Scale Volume Data. Hiroshima University Acedemic Information Repository (Hiroshima University).
12.
Hirakawa, Tsubasa, Toru Tamaki, Takio Kurita, et al.. (2015). Transfer learning for Bag-of-Visual words approach to NBI endoscopic image classification. PubMed. 2015. 785–788. 2 indexed citations
13.
Yoshida, Shigeto, Shinji Tanaka, Yoko Kominami, et al.. (2014). A Computer System To Be Used With Laser-based Endoscopy for Quantitative Diagnosis of Early Gastric Cancer. Journal of Clinical Gastroenterology. 49(2). 108–115. 63 indexed citations
14.
Tamaki, Toru, et al.. (2012). 3D Keypoints Detection from a 3D Point Cloud for Real-Time Camera Tracking. IEEJ Transactions on Electronics Information and Systems. 133(1). 84–90. 3 indexed citations
15.
Takemura, Yoshito, Shigeto Yoshida, Shinji Tanaka, et al.. (2011). Computer-aided system for predicting the histology of colorectal tumors by using narrow-band imaging magnifying colonoscopy (with video). Gastrointestinal Endoscopy. 75(1). 179–185. 94 indexed citations
16.
Yoshida, Shigeto, Shinji Tanaka, Yoshito Takemura, et al.. (2011). Quantitative analysis of colorectal lesions observed on magnified endoscopy images. Journal of Gastroenterology. 46(12). 1382–1390. 7 indexed citations
17.
Tamaki, Toru, Bisser Raytchev, Kazufumi Kaneda, et al.. (2010). Colorectal NBI Image Recognition using Dense SIFT. IEICE technical report. Speech. 110(187). 129–134. 1 indexed citations
18.
Raytchev, Bisser, et al.. (2010). View-Invariant Object Recognition with Visibility Maps. 1040–1043. 1 indexed citations
19.
Raytchev, Bisser, et al.. (2006). Multi-View Face Recognition By Nonlinear Dimensionality Reduction And Generalized Linear Models. 625–630. 5 indexed citations
20.
Raytchev, Bisser, Osamu Hasegawa, & Nobuyuki Otsu. (2000). User-independent online gesture recognition by relative motion extraction. Pattern Recognition Letters. 21(1). 69–82. 10 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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