Manfred Georg

580 total citations
13 papers, 212 citations indexed

About

Manfred Georg is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Manfred Georg has authored 13 papers receiving a total of 212 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 3 papers in Computer Networks and Communications and 3 papers in Artificial Intelligence. Recurrent topics in Manfred Georg's work include Network Traffic and Congestion Control (3 papers), Medical Imaging Techniques and Applications (2 papers) and Machine Learning and Data Classification (2 papers). Manfred Georg is often cited by papers focused on Network Traffic and Congestion Control (3 papers), Medical Imaging Techniques and Applications (2 papers) and Machine Learning and Data Classification (2 papers). Manfred Georg collaborates with scholars based in United States and Canada. Manfred Georg's co-authors include Omid Madani, David A. Ross, Robert Pless, Andrew Hope, Richard Souvenir, Jiuqiang Tang, Camillo Lugaresi, Esha Uboweja, Hadon Nash and Chuo-Ling Chang and has published in prestigious journals such as Machine Learning, Asian Conference on Machine Learning and Open Scholarship Institutional Repository (Washington University in St. Louis).

In The Last Decade

Manfred Georg

10 papers receiving 205 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Manfred Georg United States 6 94 43 41 37 33 13 212
Abu Sayeed Bangladesh 9 114 1.2× 75 1.7× 57 1.4× 63 1.7× 41 1.2× 35 258
Yona Falinie A. Gaus United Kingdom 9 114 1.2× 53 1.2× 53 1.3× 36 1.0× 75 2.3× 20 249
Krzysztof Rzecki Poland 8 49 0.5× 76 1.8× 33 0.8× 22 0.6× 62 1.9× 25 255
Marwa Elpeltagy Egypt 8 149 1.6× 31 0.7× 109 2.7× 48 1.3× 34 1.0× 9 317
Jiann-Shu Lee Taiwan 10 278 3.0× 46 1.1× 49 1.2× 33 0.9× 36 1.1× 35 385
Md Shafiqul Islam Bangladesh 9 97 1.0× 65 1.5× 36 0.9× 13 0.4× 35 1.1× 30 256
Maymouna Ezeddin Qatar 6 40 0.4× 25 0.6× 72 1.8× 117 3.2× 46 1.4× 6 247
Xinbo Zhao China 9 126 1.3× 45 1.0× 33 0.8× 33 0.9× 51 1.5× 30 237
Xianwei Jiang China 9 61 0.6× 115 2.7× 63 1.5× 38 1.0× 77 2.3× 21 282
İbrahim Furkan İnce Türkiye 8 103 1.1× 45 1.0× 60 1.5× 33 0.9× 26 0.8× 43 249

Countries citing papers authored by Manfred Georg

Since Specialization
Citations

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

Fields of papers citing papers by Manfred Georg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manfred Georg

This figure shows the co-authorship network connecting the top 25 collaborators of Manfred Georg. A scholar is included among the top collaborators of Manfred Georg 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 Manfred Georg. Manfred Georg is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
3.
Lugaresi, Camillo, Jiuqiang Tang, Hadon Nash, et al.. (2019). MediaPipe: A Framework for Perceiving and Processing Reality. 108 indexed citations
4.
Lugaresi, Camillo, Jiuqiang Tang, Hadon Nash, et al.. (2019). MediaPipe: A Framework for Perceiving and Augmenting Reality. 3 indexed citations
5.
Madani, Omid, Manfred Georg, & David A. Ross. (2013). On using nearly-independent feature families for high precision and confidence. Machine Learning. 92(2-3). 457–477. 37 indexed citations
6.
Madani, Omid, Manfred Georg, & David A. Ross. (2012). On Using Nearly-Independent Feature Families for High Precision and Confidence. Asian Conference on Machine Learning. 269–284. 3 indexed citations
7.
Georg, Manfred. (2010). Global Constructive Optimization of Vascular Systems. Open Scholarship Institutional Repository (Washington University in St. Louis). 13 indexed citations
8.
Georg, Manfred & Robert Pless. (2009). Fitting parametric road models to spatio-temporal derivatives. 20. 421–427. 2 indexed citations
9.
Georg, Manfred, Richard Souvenir, Andrew Hope, & Robert Pless. (2008). Simultaneous data volume reconstruction and pose estimation from slice samples. 1. 1–6. 9 indexed citations
10.
Georg, Manfred, Richard Souvenir, Andrew Hope, & Robert Pless. (2008). Manifold learning for 4D CT reconstruction of the lung. 1–8. 27 indexed citations
11.
Georg, Manfred, et al.. (2007). Improving Individual Flow Performance with Multiple Queue Fair Queuing. 141–144. 6 indexed citations
12.
Georg, Manfred. (2006). A Survey of TCP Optimizations for Wireless Channels. 2 indexed citations
13.
Georg, Manfred & Sergey Gorinsky. (2005). Protecting TFRC from a Selfish Receiver. 3540. 57–57. 2 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026