John Glauert

1.7k total citations
49 papers, 672 citations indexed

About

John Glauert is a scholar working on Human-Computer Interaction, Computer Networks and Communications and Developmental and Educational Psychology. According to data from OpenAlex, John Glauert has authored 49 papers receiving a total of 672 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Human-Computer Interaction, 13 papers in Computer Networks and Communications and 13 papers in Developmental and Educational Psychology. Recurrent topics in John Glauert's work include Hand Gesture Recognition Systems (15 papers), Hearing Impairment and Communication (13 papers) and Distributed and Parallel Computing Systems (10 papers). John Glauert is often cited by papers focused on Hand Gesture Recognition Systems (15 papers), Hearing Impairment and Communication (13 papers) and Distributed and Parallel Computing Systems (10 papers). John Glauert collaborates with scholars based in United Kingdom, Israel and Pakistan. John Glauert's co-authors include Richard Kennaway, R. Elliott, I. Howard Marshall, Inge Zwitserlood, Sarah Ebling, James R. McGraw, Stephen J. Allan, R. R. Oldehoeft, Umar Farooq and M. R. Sleep and has published in prestigious journals such as Future Generation Computer Systems, Theoretical Computer Science and ACM Transactions on Computer-Human Interaction.

In The Last Decade

John Glauert

47 papers receiving 570 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John Glauert United Kingdom 12 360 289 170 170 152 49 672
David Rybach Germany 18 206 0.6× 127 0.4× 25 0.1× 1.1k 6.3× 31 0.2× 47 1.4k
Akikazu Takeuchi Japan 11 64 0.2× 16 0.1× 40 0.2× 382 2.2× 86 0.6× 22 609
Ira Smith United States 9 226 0.6× 26 0.1× 8 0.0× 604 3.6× 48 0.3× 11 740
Tomoo Inoue Japan 14 118 0.3× 11 0.0× 363 2.1× 157 0.9× 140 0.9× 111 807
C. Lee United States 5 84 0.2× 15 0.1× 62 0.4× 38 0.2× 113 0.7× 8 325
Michał Moskal United States 16 105 0.3× 58 0.2× 105 0.6× 220 1.3× 120 0.8× 46 674
Ian McGraw United States 14 23 0.1× 45 0.2× 21 0.1× 777 4.6× 60 0.4× 33 966
Peli de Halleux United States 13 82 0.2× 40 0.1× 63 0.4× 99 0.6× 70 0.5× 31 478
Chris McDonald Australia 18 28 0.1× 47 0.2× 52 0.3× 166 1.0× 894 5.9× 73 1.3k
Zsófia Ruttkay Netherlands 12 41 0.1× 46 0.2× 3 0.0× 202 1.2× 125 0.8× 49 576

Countries citing papers authored by John Glauert

Since Specialization
Citations

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

Fields of papers citing papers by John Glauert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Glauert

This figure shows the co-authorship network connecting the top 25 collaborators of John Glauert. A scholar is included among the top collaborators of John Glauert 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 John Glauert. John Glauert 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.
Farooq, Umar & John Glauert. (2017). Faster dynamic spatial partitioning in OpenSimulator. Virtual Reality. 21(4). 193–202. 5 indexed citations
2.
Farooq, Umar & John Glauert. (2016). Integrating dynamic scalability into the OpenSimulator framework. Simulation Modelling Practice and Theory. 72. 118–130. 6 indexed citations
3.
Ebling, Sarah & John Glauert. (2013). Exploiting the full potential of JASigning to build an avatar signing train announcements. Zurich Open Repository and Archive (University of Zurich). 14 indexed citations
4.
Hanke, Thomas, et al.. (2011). Using timing information to improve the performance of Avatars. UEA Digital Repository (University of East Anglia). 4 indexed citations
5.
Farooq, Umar & John Glauert. (2011). Scalable and consistent virtual worlds: An extension to the architecture of OpenSimulator. 18. 29–34. 5 indexed citations
6.
Farooq, Umar & John Glauert. (2010). A dynamic load distribution algorithm for virtual worlds.. Journal of Digital Information Management. 8(3). 181–189. 3 indexed citations
7.
Elliott, R.B., et al.. (2010). Towards the Integration of Synthetic SL Animation with Avatars into Corpus Annotation Tools. UEA Digital Repository (University of East Anglia). 8 indexed citations
8.
Arnold, David, John Glauert, Simon Haegler, et al.. (2008). Tools for Populating Cultural Heritage Environments with Interactive Virtual Humans. UEA Digital Repository (University of East Anglia). 14 indexed citations
9.
Efthimiou, Eleni, Stavroula–Evita Fotinea, & John Glauert. (2007). Special issue: “Emerging Technologies for Deaf Accessibility in the Information Society”. Universal Access in the Information Society. 6(4). 321–322. 1 indexed citations
10.
Khasidashvili, Zurab & John Glauert. (2005). The conflict-free Reduction Geometry. Theoretical Computer Science. 347(3). 465–497. 1 indexed citations
11.
Elliott, R., John Glauert, & Richard Kennaway. (2005). Developing Techniques to Support Scripted Sign Language Performance by a Virtual Human. UEA Digital Repository (University of East Anglia). 2 indexed citations
12.
Banach, Richard, Farhad Arbab, George Α. Papadopoulos, & John Glauert. (2002). A multiply fibred automaton semantics for IWIM. Centrum Wiskunde & Informatica (CWI), the national research institute for mathematics and computer science in the Netherlands. 1–59. 2 indexed citations
13.
Banach, Richard, Farhad Arbab, George Α. Papadopoulos, & John Glauert. (2002). IWIM Semantics via Fibred Automata. Electronic Notes in Theoretical Computer Science. 66(4). 1–15. 1 indexed citations
14.
Elliott, R., John Glauert, Richard Kennaway, & I. Howard Marshall. (2000). The development of language processing support for the ViSiCAST project. UEA Digital Repository (University of East Anglia). 101–108. 67 indexed citations
15.
Glauert, John. (1996). Parallel Implementation of Functional Languages Using Small Processes. 50(2). 87–90.
16.
Glauert, John, et al.. (1993). A new process model for functions. UEA Digital Repository (University of East Anglia). 30. 269–282. 1 indexed citations
17.
Barendregt, Henk, M.C.J.D. van Eekelen, M.J. Plasmeijer, et al.. (1989). LEAN: An intermediate language based on graph rewriting. Parallel Computing. 9(2). 163–177. 5 indexed citations
18.
Glauert, John, et al.. (1989). Using DACTL to implement declarative languages. UEA Digital Repository (University of East Anglia). 116–124. 4 indexed citations
19.
Glauert, John & George Α. Papadopoulos. (1988). A Parallel Implementation of GHC.. Future Generation Computer Systems. 1051–1058. 3 indexed citations
20.
Glauert, John, Richard Kennaway, & M. R. Sleep. (1987). DACTL: A computational model and compiler target language based on graph reduction. UEA Digital Repository (University of East Anglia). 5(3). 509–537. 12 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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