David Albrecht

1.5k total citations
48 papers, 735 citations indexed

About

David Albrecht is a scholar working on Artificial Intelligence, Signal Processing and Civil and Structural Engineering. According to data from OpenAlex, David Albrecht has authored 48 papers receiving a total of 735 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 8 papers in Signal Processing and 7 papers in Civil and Structural Engineering. Recurrent topics in David Albrecht's work include Infrastructure Maintenance and Monitoring (5 papers), Anomaly Detection Techniques and Applications (5 papers) and Bayesian Modeling and Causal Inference (4 papers). David Albrecht is often cited by papers focused on Infrastructure Maintenance and Monitoring (5 papers), Anomaly Detection Techniques and Applications (5 papers) and Bayesian Modeling and Causal Inference (4 papers). David Albrecht collaborates with scholars based in Australia, United Kingdom and Bangladesh. David Albrecht's co-authors include Ingrid Zukerman, Kai Ming Ting, Tharindu Bandaragoda, Jonathan R. Wells, Fei Tony Liu, Guansong Pang, Ye Zhu, Ann E. Nicholson, Uwe D. Hanebeck and Jayantha Kodikara and has published in prestigious journals such as Medical Physics, Powder Technology and Computers in Biology and Medicine.

In The Last Decade

David Albrecht

41 papers receiving 663 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Albrecht Australia 12 430 171 147 122 121 48 735
Ram Ramamoorthy United Kingdom 9 421 1.0× 65 0.4× 122 0.8× 58 0.5× 146 1.2× 15 824
Yanming Zhu Australia 12 390 0.9× 96 0.6× 135 0.9× 135 1.1× 178 1.5× 23 734
Sung-Jin Kim South Korea 10 292 0.7× 261 1.5× 187 1.3× 146 1.2× 441 3.6× 31 896
Xu Tan China 19 502 1.2× 53 0.3× 74 0.5× 179 1.5× 134 1.1× 61 915
Adrian Popescu France 17 512 1.2× 147 0.9× 138 0.9× 148 1.2× 504 4.2× 114 1.2k
Yifei Wang China 11 334 0.8× 156 0.9× 160 1.1× 192 1.6× 71 0.6× 31 779
Zhixiao Wang China 17 272 0.6× 124 0.7× 88 0.6× 53 0.4× 97 0.8× 66 919
Miguel Angel Medina‐Pérez Mexico 17 405 0.9× 151 0.9× 224 1.5× 322 2.6× 175 1.4× 52 872
Mukesh A. Zaveri India 14 440 1.0× 213 1.2× 163 1.1× 138 1.1× 283 2.3× 148 1.1k
Ming Yang China 15 406 0.9× 379 2.2× 172 1.2× 206 1.7× 227 1.9× 108 861

Countries citing papers authored by David Albrecht

Since Specialization
Citations

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

Fields of papers citing papers by David Albrecht

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Albrecht

This figure shows the co-authorship network connecting the top 25 collaborators of David Albrecht. A scholar is included among the top collaborators of David Albrecht 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 David Albrecht. David Albrecht 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.
Samiullah, Md., Ann E. Nicholson, & David Albrecht. (2022). Automated construction of an Object-Oriented Bayesian Network (OOBN) Class Hierarchy. 1382–1389. 2 indexed citations
2.
Albrecht, David, et al.. (2020). Semi-supervised labelling of the femur in a whole-body post-mortem CT database using deep learning. Computers in Biology and Medicine. 122. 103797–103797. 13 indexed citations
3.
Albrecht, David, et al.. (2020). Findings from machine learning in clinical medical imaging applications – Lessons for translation to the forensic setting. Forensic Science International. 316. 110538–110538. 12 indexed citations
4.
Albrecht, David, et al.. (2018). Quality Controlled Region-Based PartialFingerprint Recognition. Journal of Mobile Multimedia. 14(2). 123–156.
5.
Albrecht, David, et al.. (2018). Parameter Recovery Using Radon Transform. 34–43. 1 indexed citations
6.
Albrecht, David, et al.. (2016). Estimation of the Short-Term Probability of Failure in Water Mains. Journal of Water Resources Planning and Management. 143(2). 9 indexed citations
7.
Bandaragoda, Tharindu, Kai Ming Ting, David Albrecht, Fei Tony Liu, & Jonathan R. Wells. (2014). Efficient Anomaly Detection by Isolation Using Nearest Neighbour Ensemble. FedUni ResearchOnline (Federation University Australia). 698–705. 45 indexed citations
8.
Thomas, Ian B., Ingrid Zukerman, Jonathan Oliver, David Albrecht, & Bhavani Raskutti. (2013). Lexical Access for Speech Understanding using Minimum Message Length Encoding. arXiv (Cornell University). 464–471. 1 indexed citations
9.
Bohnert, Fabian, Ingrid Zukerman, David Albrecht, & Timothy Baldwin. (2011). Modelling and Predicting Movements of Museum Visitors: A Simulation Framework for Assessing the Impact of Sensor Noise on Model Performance.. International Joint Conference on Artificial Intelligence. 49–56. 1 indexed citations
10.
Albrecht, David, et al.. (2009). The Ripple Effect: Lessons from a Research and Teaching Faculty Learning Community.. Journal on excellence in college teaching. 20(3). 145–173. 4 indexed citations
11.
Albrecht, David, et al.. (2008). Interpreting time series roughness progression rates and identifying outlier types with MML inference. 1–15. 1 indexed citations
12.
Albrecht, David, et al.. (2006). Experiments with Sentence Classification. 18-25–18-25. 28 indexed citations
13.
Sanjayan, Jay, et al.. (2005). Application of data mining in pavement performance modelling: a case study. Road and transport research. 14(4). 27–43.
14.
Sheard, Judithe, et al.. (2005). ViSION: visualizing student interactions online. 48–58. 3 indexed citations
15.
Albrecht, David, et al.. (2001). Information-Theoretic Advisors in Invisible Chess. International Conference on Artificial Intelligence and Statistics. 29–34.
16.
Albrecht, David, et al.. (2001). Playing "invisible chess" with information-theoretic advisors. National Conference on Artificial Intelligence. 6–15. 2 indexed citations
17.
Zukerman, Ingrid, et al.. (2000). Trading Off Granularity against Complexity.. 241–251. 1 indexed citations
18.
Albrecht, David, Ingrid Zukerman, & Ann E. Nicholson. (1999). Pre-sending documents on the WWW: a comparative study. International Joint Conference on Artificial Intelligence. 1274–1279. 34 indexed citations
19.
Albrecht, David, et al.. (1997). New Curry-Howard terms for full linear logic. Theoretical Computer Science. 185(2). 217–235. 1 indexed citations
20.
Albrecht, David, Elizabeth L. Mansfield, & Alice E. Milne. (1996). Algorithms for special integrals of ordinary differential equations. Journal of Physics A Mathematical and General. 29(5). 973–991. 11 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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