Joseph Newman

884 total citations
13 papers, 578 citations indexed

About

Joseph Newman is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Computer Networks and Communications. According to data from OpenAlex, Joseph Newman has authored 13 papers receiving a total of 578 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 5 papers in Human-Computer Interaction and 4 papers in Computer Networks and Communications. Recurrent topics in Joseph Newman's work include Augmented Reality Applications (10 papers), Context-Aware Activity Recognition Systems (6 papers) and Interactive and Immersive Displays (5 papers). Joseph Newman is often cited by papers focused on Augmented Reality Applications (10 papers), Context-Aware Activity Recognition Systems (6 papers) and Interactive and Immersive Displays (5 papers). Joseph Newman collaborates with scholars based in Germany, United Kingdom and Austria. Joseph Newman's co-authors include A. Hopper, R. Curwen, Andy Ward, Steve Hodges, Dieter Schmalstieg, Simon I Hay, Robert Harle, Gudrun Klinker, Asa MacWilliams and Gerhard Schall and has published in prestigious journals such as Computer, IEEE Pervasive Computing and Acta Crystallographica Section D Structural Biology.

In The Last Decade

Joseph Newman

13 papers receiving 521 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joseph Newman Germany 8 352 208 163 128 101 13 578
István Barakonyi Austria 10 290 0.8× 143 0.7× 161 1.0× 56 0.4× 83 0.8× 22 439
Jan Wieghardt Germany 6 114 0.3× 388 1.9× 56 0.3× 151 1.2× 164 1.6× 11 584
Bing Jiang United States 9 100 0.3× 355 1.7× 51 0.3× 109 0.9× 81 0.8× 24 630
Guidong Zhang China 7 214 0.6× 738 3.5× 135 0.8× 268 2.1× 91 0.9× 11 954
Chouchang Yang United States 8 140 0.4× 614 3.0× 127 0.8× 143 1.1× 230 2.3× 21 850
Sangki Yun South Korea 12 108 0.3× 510 2.5× 144 0.9× 307 2.4× 55 0.5× 24 778
Mohammed S. Elbamby Finland 8 246 0.7× 341 1.6× 104 0.6× 456 3.6× 54 0.5× 14 868
Chang Hong Lin Taiwan 13 317 0.9× 98 0.5× 90 0.6× 107 0.8× 37 0.4× 72 621
Kyu-Han Kim United States 16 149 0.4× 568 2.7× 150 0.9× 700 5.5× 53 0.5× 43 1.1k
Farahnaz Mohanna Iran 12 279 0.8× 186 0.9× 40 0.2× 186 1.5× 129 1.3× 53 610

Countries citing papers authored by Joseph Newman

Since Specialization
Citations

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

Fields of papers citing papers by Joseph Newman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joseph Newman

This figure shows the co-authorship network connecting the top 25 collaborators of Joseph Newman. A scholar is included among the top collaborators of Joseph Newman 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 Joseph Newman. Joseph Newman 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
1.
Wright, Nathan D., P.M. Collins, L. Koekemoer, et al.. (2020). The low-cost Shifter microscope stage transforms the speed and robustness of protein crystal harvesting. Acta Crystallographica Section D Structural Biology. 77(1). 62–74. 27 indexed citations
2.
Huber, Manuel, et al.. (2010). Automatic configuration of pervasive sensor networks for augmented reality. IEEE Pervasive Computing. 10(3). 68–79. 17 indexed citations
3.
Hay, Simon I, Joseph Newman, & Robert Harle. (2008). Optical tracking using commodity hardware. 159–160. 36 indexed citations
4.
Newman, Joseph, et al.. (2007). Tracking for Distributed Mixed Reality Environments. VBN Forskningsportal (Aalborg Universitet). 7 indexed citations
5.
Newman, Joseph, et al.. (2006). Wide-Area Tracking Tools for Augmented Reality. 143–146. 12 indexed citations
6.
Newman, Joseph, Gerhard Schall, & Dieter Schmalstieg. (2006). Modelling and Handling Seams in Wide-Area Sensor Networks. 51–54. 4 indexed citations
7.
Schall, Gerhard, Joseph Newman, & Dieter Schmalstieg. (2005). Rapid and Accurate Deployment of Fiducial Markers for Augmented Reality. 5 indexed citations
8.
Newman, Joseph, Martin Wagner, Martin Bauer, et al.. (2005). Ubiquitous Tracking for Augmented Reality. 192–201. 42 indexed citations
9.
Wagner, Martin, Asa MacWilliams, Martin Bauer, et al.. (2004). Fundamentals of Ubiquitous Tracking. mediaTUM (Technical University of Munich). 4 indexed citations
10.
Newman, Joseph, Martin Wagner, Thomas Pintaric, et al.. (2003). Fundamentals of Ubiquitous Tracking for Augmented Reality. 285–290. 2 indexed citations
11.
Bauer, Martin, Christian Sandor, Martin Wagner, et al.. (2003). Integrating Studierstube and DWARF. 1–5. 4 indexed citations
12.
Newman, Joseph, et al.. (2002). Augmented reality in a wide area sentient environment. 77–86. 86 indexed citations
13.
Curwen, R., et al.. (2001). Implementing a sentient computing system. Computer. 34(8). 50–56. 332 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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