Erwin M. Bakker

2.6k total citations
59 papers, 1.5k citations indexed

About

Erwin M. Bakker is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Erwin M. Bakker has authored 59 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Computer Vision and Pattern Recognition, 16 papers in Artificial Intelligence and 8 papers in Computer Networks and Communications. Recurrent topics in Erwin M. Bakker's work include Advanced Image and Video Retrieval Techniques (27 papers), Image Retrieval and Classification Techniques (16 papers) and Multimodal Machine Learning Applications (13 papers). Erwin M. Bakker is often cited by papers focused on Advanced Image and Video Retrieval Techniques (27 papers), Image Retrieval and Classification Techniques (16 papers) and Multimodal Machine Learning Applications (13 papers). Erwin M. Bakker collaborates with scholars based in Netherlands, China and United States. Erwin M. Bakker's co-authors include Michael S. Lew, Yu Liu, Hans T. M. van Schie, Yanming Guo, P. René van Weeren, A. Mieke Jonker, Song Wu, Michael S. Lew, Nan Pu and Nicu Sebe and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition and British Journal of Sports Medicine.

In The Last Decade

Erwin M. Bakker

58 papers receiving 1.4k citations

Peers

Erwin M. Bakker
Erwin M. Bakker
Citations per year, relative to Erwin M. Bakker Erwin M. Bakker (= 1×) peers Fédor Moiseev

Countries citing papers authored by Erwin M. Bakker

Since Specialization
Citations

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

Fields of papers citing papers by Erwin M. Bakker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Erwin M. Bakker

This figure shows the co-authorship network connecting the top 25 collaborators of Erwin M. Bakker. A scholar is included among the top collaborators of Erwin M. Bakker 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 Erwin M. Bakker. Erwin M. Bakker 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.
Bakker, Erwin M., et al.. (2024). DPD (DePression Detection) Net: a deep neural network for multimodal depression detection. Health Information Science and Systems. 12(1). 53–53. 7 indexed citations
2.
Pu, Nan, et al.. (2023). Multi-Domain Lifelong Visual Question Answering via Self-Critical Distillation. Institutional Research Information System (Università degli Studi di Trento). 4747–4758. 2 indexed citations
3.
Pu, Nan, et al.. (2023). COCA: COllaborative CAusal Regularization for Audio-Visual Question Answering. Proceedings of the AAAI Conference on Artificial Intelligence. 37(11). 12995–13003. 12 indexed citations
4.
Pu, Nan, et al.. (2023). Dual selective knowledge transfer for few-shot classification. Applied Intelligence. 53(22). 27779–27789. 2 indexed citations
5.
Chen, Wei, Yu Liu, Weiping Wang, et al.. (2022). Deep Learning for Instance Retrieval: A Survey. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(6). 7270–7292. 115 indexed citations
6.
Pu, Nan, Wei Chen, Yu Liu, Erwin M. Bakker, & Michael S. Lew. (2020). Dual Gaussian-based Variational Subspace Disentanglement for Visible-Infrared Person Re-Identification. Leiden Repository (Leiden University). 2149–2158. 72 indexed citations
7.
Chen, Wei, Nan Pu, Yu Liu, Erwin M. Bakker, & Michael S. Lew. (2019). Domain Uncertainty Based On Information Theory for Cross-Modal Hash Retrieval. 43–48. 3 indexed citations
8.
Schie, Hans T. M. van, Robert‐Jan de Vos, Suzan de Jonge, et al.. (2009). Ultrasonographic tissue characterisation of human Achilles tendons: quantification of tendon structure through a novel non-invasive approach. British Journal of Sports Medicine. 44(16). 1153–1159. 146 indexed citations
9.
Schie, Hans T. M. van, et al.. (2009). Monitoring of the repair process of surgically created lesions in equine superficial digital flexor tendons by use of computerized ultrasonography. American Journal of Veterinary Research. 70(1). 37–48. 44 indexed citations
10.
Lew, Michael S., Alberto Del Bimbo, & Erwin M. Bakker. (2008). Proceedings of the 1st ACM international conference on Multimedia information retrieval. 48 indexed citations
11.
Lew, Michael S., Nicu Sebe, Thomas S. Huang, & Erwin M. Bakker. (2007). Human-computer interaction : IEEE International Workshop, HCI 2007, Rio de Janeiro, Brazil, October 20, 2007 : proceedings. Springer eBooks. 1 indexed citations
12.
Bakker, Erwin M., et al.. (2006). Interval Routing and Minor-Monotone Graph Parameters. Data Archiving and Networked Services (DANS). 1 indexed citations
13.
14.
Bakker, Erwin M., Michael S. Lew, Thomas S. Huang, Nicu Sebe, & Xiang Zhou. (2003). Proceedings of the 2nd international conference on Image and video retrieval. 3 indexed citations
15.
Schie, Hans T. M. van, Erwin M. Bakker, A. Mieke Jonker, & P. René van Weeren. (2003). Computerized ultrasonographic tissue characterization of equine superficial digital flexor tendons by means of stability quantification of echo patterns in contiguous transverse ultrasonographic images. American Journal of Veterinary Research. 64(3). 366–375. 68 indexed citations
16.
Schie, Hans T. M. van, Erwin M. Bakker, A. Mieke Jonker, & P. René van Weeren. (2001). Efficacy of computerized discrimination between structure-related and non–structure–related echoes in ultrasonographic images for the quantitative evaluation of the structural integrity of superficial digital flexor tendons in horses. American Journal of Veterinary Research. 62(7). 1159–1166. 37 indexed citations
17.
Schie, Hans T. M. van, Erwin M. Bakker, A. Mieke Jonker, & P. René van Weeren. (2000). Ultrasonographic tissue characterization of equine superficial digital flexor tendons by means of gray level statistics. American Journal of Veterinary Research. 61(2). 210–219. 49 indexed citations
18.
Schie, Hans T. M. van & Erwin M. Bakker. (2000). Structure-related echoes in ultrasonographic images of equine superficial digital flexor tendons. American Journal of Veterinary Research. 61(2). 202–209. 30 indexed citations
19.
Bakker, Erwin M., et al.. (1999). ULTRASONOGRAPHIC EVALUATION OF EQUINE TENDONS: A QUANTITATIVEIN VITROSTUDY OF THE EFFECTS OF AMPLIFIER GAIN LEVEL, TRANSDUCER‐TILT, AND TRANSDUCER‐DISPLACEMENT. Veterinary Radiology & Ultrasound. 40(2). 151–160. 31 indexed citations
20.
Leeuwen, J. van, et al.. (1991). Linear interval routing schemes. Utrecht University Repository (Utrecht University). 7 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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