Michael Blumenstein

997 total citations
22 papers, 568 citations indexed

About

Michael Blumenstein is a scholar working on Computer Vision and Pattern Recognition, Information Systems and Civil and Structural Engineering. According to data from OpenAlex, Michael Blumenstein has authored 22 papers receiving a total of 568 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 5 papers in Information Systems and 4 papers in Civil and Structural Engineering. Recurrent topics in Michael Blumenstein's work include Video Surveillance and Tracking Methods (7 papers), Software Engineering Research (3 papers) and Advanced Image and Video Retrieval Techniques (3 papers). Michael Blumenstein is often cited by papers focused on Video Surveillance and Tracking Methods (7 papers), Software Engineering Research (3 papers) and Advanced Image and Video Retrieval Techniques (3 papers). Michael Blumenstein collaborates with scholars based in Australia, India and United Kingdom. Michael Blumenstein's co-authors include Hong Guan, Amir Hossein Ghapanchi, Reza Ghanbarzadeh, Amir Talaei‐Khoei, Nabin Sharma, Jun Jo, Muhammad Saqib, Umapada Pal, Sultan Daud Khan and Huijun Zhao and has published in prestigious journals such as IEEE Access, Journal of Medical Internet Research and Automation in Construction.

In The Last Decade

Michael Blumenstein

21 papers receiving 536 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Blumenstein Australia 12 199 124 91 65 51 22 568
Maria Riccio Italy 12 112 0.6× 105 0.8× 27 0.3× 20 0.3× 35 0.7× 26 480
Yue Gong China 13 124 0.6× 39 0.3× 28 0.3× 126 1.9× 8 0.2× 39 615
Alberto Belli Italy 18 377 1.9× 38 0.3× 42 0.5× 150 2.3× 18 0.4× 71 1.1k
Halis Altun Türkiye 15 126 0.6× 24 0.2× 109 1.2× 135 2.1× 7 0.1× 48 816
Kushsairy Kadir Malaysia 15 158 0.8× 55 0.4× 21 0.2× 109 1.7× 33 0.6× 139 796
Pedro Santana Portugal 15 265 1.3× 170 1.4× 26 0.3× 64 1.0× 19 0.4× 78 661
Hans Petter Hildre Norway 17 59 0.3× 102 0.8× 42 0.5× 30 0.5× 21 0.4× 63 737
Rui Hou United States 11 295 1.5× 13 0.1× 238 2.6× 227 3.5× 18 0.4× 27 724
Qingchang Zhu Singapore 9 336 1.7× 185 1.5× 10 0.1× 133 2.0× 25 0.5× 10 920

Countries citing papers authored by Michael Blumenstein

Since Specialization
Citations

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

Fields of papers citing papers by Michael Blumenstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Blumenstein

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Blumenstein. A scholar is included among the top collaborators of Michael Blumenstein 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 Michael Blumenstein. Michael Blumenstein 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.
Ghosh, Subhankar, et al.. (2024). MMC: Multi-modal colorization of images using textual description. Signal Image and Video Processing. 19(2).
2.
Sharma, Nabin, et al.. (2019). Drone Detection in Long-Range Surveillance Videos. 1–6. 78 indexed citations
3.
Shivakumara, Palaiahnakote, et al.. (2018). A scene image classification technique for a ubiquitous visual surveillance system. Multimedia Tools and Applications. 78(5). 5791–5818. 11 indexed citations
4.
Coluccia, Angelo, Geert De Cubber, Arne Schumann, et al.. (2017). Drone-vs-Bird detection challenge at IEEE AVSS2017. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 1–6. 37 indexed citations
5.
He, Xiangjian, et al.. (2017). Counting People Based on Linear, Weighted, and Local Random Forests. 1–7. 6 indexed citations
6.
Blumenstein, Michael, et al.. (2017). Knowledge Science, Engineering and Management. Lecture notes in computer science. 3 indexed citations
7.
Saqib, Muhammad, Sultan Daud Khan, & Michael Blumenstein. (2016). Texture-based feature mining for crowd density estimation: A study. Griffith Research Online (Griffith University, Queensland, Australia). 1–6. 12 indexed citations
8.
Guan, Hong, et al.. (2015). Towards UAV-based bridge inspection systems: a review and an application perspective. Griffith Research Online (Griffith University, Queensland, Australia). 2(3). 283–300. 99 indexed citations
9.
Ghanbarzadeh, Reza, Amir Hossein Ghapanchi, Michael Blumenstein, & Amir Talaei‐Khoei. (2014). A Decade of Research on the Use of Three-Dimensional Virtual Worlds in Health Care: A Systematic Literature Review. Journal of Medical Internet Research. 16(2). e47–e47. 104 indexed citations
10.
Ghanbarzadeh, Reza, Amir Hossein Ghapanchi, & Michael Blumenstein. (2014). Application areas of multi-user virtual environments in the healthcare context. Studies in health technology and informatics. 204. 38–46. 9 indexed citations
11.
Das, Abhijit, Umapada Pal, Michael Blumenstein, & Miguel A. Ferrer. (2013). Sclera Recognition - A Survey. Acceda (Universidad de Las Palmas de Gran Canaria). 917–921. 37 indexed citations
12.
Lee, Jaeho, Michael Blumenstein, Hong Guan, & Yew‐Chaye Loo. (2013). Minimising uncertainty in long‐term prediction of bridge element. Engineering Construction & Architectural Management. 20(2). 127–142. 3 indexed citations
13.
Lee, Jaeho, et al.. (2012). Development of hybrid optimisation method for Artificial Intelligence based bridge deterioration model — Feasibility study. Automation in Construction. 31. 83–91. 23 indexed citations
14.
Pal, Srikanta, Michael Blumenstein, & Umapada Pal. (2011). Automatic Off-line Signature Verification Systems: A Review. Griffith Research Online (Griffith University, Queensland, Australia). 14. 20–27. 10 indexed citations
15.
Blumenstein, Michael, et al.. (2009). Extensions to Generic Automated Marking Environment: GAME-2+. Griffith Research Online (Griffith University, Queensland, Australia). 5 indexed citations
16.
Blumenstein, Michael, et al.. (2007). An Enhanced Generic Automated Marking Environment: GAME-2. Griffith Research Online (Griffith University, Queensland, Australia). 2(2). 55–60. 2 indexed citations
17.
Blumenstein, Michael, et al.. (2006). The Detection and Quantification of Persons in Cluttered Beach Scenes Using Neural Network-Based Classification. Griffith Research Online (Griffith University, Queensland, Australia). 303–308. 3 indexed citations
18.
Blumenstein, Michael, et al.. (2005). Estimation of chemical oxygen demand by ultraviolet spectroscopic profiling and artificial neural networks. Neural Computing and Applications. 15(3-4). 197–203. 29 indexed citations
19.
Blumenstein, Michael, et al.. (2004). GAME: a Generic Automated Marking Environment for programming assessment. Griffith Research Online (Griffith University, Queensland, Australia). 212–216 Vol.1. 27 indexed citations
20.
Verma, Brijesh, Michael Blumenstein, & Sanjeev R. Kulkarni. (1999). A New Compression Technique Using an Artificial Neural Network. Journal of Intelligent Systems. 9(1). 39–54. 20 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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