Mark Austin

1.2k total citations
79 papers, 672 citations indexed

About

Mark Austin is a scholar working on Artificial Intelligence, Information Systems and Software. According to data from OpenAlex, Mark Austin has authored 79 papers receiving a total of 672 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Artificial Intelligence, 20 papers in Information Systems and 18 papers in Software. Recurrent topics in Mark Austin's work include Semantic Web and Ontologies (22 papers), Model-Driven Software Engineering Techniques (15 papers) and Service-Oriented Architecture and Web Services (14 papers). Mark Austin is often cited by papers focused on Semantic Web and Ontologies (22 papers), Model-Driven Software Engineering Techniques (15 papers) and Service-Oriented Architecture and Web Services (14 papers). Mark Austin collaborates with scholars based in United States, United Kingdom and Italy. Mark Austin's co-authors include Mohammad Heidarinejad, P. S. Krishnaprasad, Li‐Sheng Wang, Karl S. Pister, Kristofer S. J. Pister, Stephen A. Mahin, Edward Carney, Michael J. Casey, Elias Bou‐Harb and Evangelos Kaisar and has published in prestigious journals such as Journal of Computational Physics, Computer Methods in Applied Mechanics and Engineering and International Journal for Numerical Methods in Engineering.

In The Last Decade

Mark Austin

73 papers receiving 624 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark Austin United States 14 155 122 120 110 97 79 672
Mauro Gaggero Italy 19 170 1.1× 144 1.2× 124 1.0× 20 0.2× 279 2.9× 72 891
Kedar Nath Das India 18 490 3.2× 67 0.5× 36 0.3× 43 0.4× 127 1.3× 54 872
Miren Nekane Bilbao Spain 12 365 2.4× 94 0.8× 54 0.5× 44 0.4× 106 1.1× 35 774
Nazir Ahmad Zafar Pakistan 17 183 1.2× 27 0.2× 178 1.5× 27 0.2× 73 0.8× 121 884
Daniel Tuyttens Belgium 17 242 1.6× 499 4.1× 244 2.0× 26 0.2× 143 1.5× 42 1.2k
S. K. Smit Netherlands 6 382 2.5× 97 0.8× 43 0.4× 23 0.2× 32 0.3× 11 646
Thomas Bousonville Germany 4 207 1.3× 93 0.8× 30 0.3× 48 0.4× 99 1.0× 9 612
Itziar Landa-Torres Spain 14 323 2.1× 118 1.0× 32 0.3× 45 0.4× 127 1.3× 28 829
Charles Newton Australia 10 398 2.6× 147 1.2× 33 0.3× 28 0.3× 90 0.9× 13 796
Stefan Ruzika Germany 17 141 0.9× 234 1.9× 18 0.1× 42 0.4× 281 2.9× 65 1.0k

Countries citing papers authored by Mark Austin

Since Specialization
Citations

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

Fields of papers citing papers by Mark Austin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark Austin

This figure shows the co-authorship network connecting the top 25 collaborators of Mark Austin. A scholar is included among the top collaborators of Mark Austin 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 Mark Austin. Mark Austin 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.
Austin, Mark, et al.. (2024). Multi-Domain Semantic Model and Real-Time Planning Approach to Safe and Efficient Airport Taxiway Operations. IEEE Transactions on Intelligent Transportation Systems. 25(7). 7738–7750. 2 indexed citations
2.
Heidarinejad, Mohammad, et al.. (2022). A Semantic Approach for Building System Operations: Knowledge Representation and Reasoning. Sustainability. 14(10). 5810–5810. 13 indexed citations
3.
Austin, Mark, et al.. (2020). Architecting Smart City Digital Twins: Combined Semantic Model and Machine Learning Approach. Journal of Management in Engineering. 36(4). 139 indexed citations
4.
Austin, Mark, et al.. (2016). Model-Based Design and Formal Verification Processes for Automated Waterway System Operations. Systems. 4(2). 23–23. 2 indexed citations
5.
Carney, Edward, et al.. (2015). Natural Language Processing of Textual Requirements. International Conference on Systems. 93–97. 17 indexed citations
6.
Hayes, Corey J., Teresa J. Hudson, Martha M. Phillips, et al.. (2015). The influence of propoxyphene withdrawal on opioid use in veterans. Pharmacoepidemiology and Drug Safety. 24(11). 1180–1188. 10 indexed citations
7.
Gray, Katherine R., Mark Austin, Robin Wolz, et al.. (2014). IC‐P‐221: INTEGRATION OF EADC‐ADNI HARMONISED HIPPOCAMPUS LABELS INTO THE LEAP AUTOMATED SEGMENTATION TECHNIQUE. Alzheimer s & Dementia. 10(4S_Part_7). 2 indexed citations
8.
Austin, Mark, et al.. (2014). A Semantic Platform Infrastructure for Requirements Traceability and System Assessment. International Conference on Systems. 215–219. 2 indexed citations
9.
Austin, Mark, et al.. (2013). Model-Based Systems Engineering Design and Trade-Off Analysis with RDF Graphs. Procedia Computer Science. 16. 216–225. 10 indexed citations
10.
Austin, Mark, et al.. (2013). Ontologies of Time and Time-based Reasoning for MBSE of Cyber-Physical Systems. Procedia Computer Science. 16. 403–412. 36 indexed citations
11.
Austin, Mark, et al.. (2012). Promoting participation in recruitment and selection for a CAMHS Learning Disability Service. Clinical Psychology Forum. 1(231). 19–22.
12.
Austin, Mark, et al.. (2008). The benefits of an ontological patient model in clinical decision-support. 3. 1774–1775. 4 indexed citations
13.
Kaisar, Evangelos & Mark Austin. (2007). Synthesis and Validation of High-Level Behavior Models for Narrow Waterway Management Systems. Journal of Computing in Civil Engineering. 21(5). 373–378. 4 indexed citations
14.
Kaisar, Evangelos, Mark Austin, & Stratos Papadimitriou. (2006). Formal development and evaluation of narrow passageway system operations. 88–104. 3 indexed citations
15.
Austin, Mark, et al.. (1999). Structural Matrix Computations with Units: Data Structures, Algorithms, and Scripting Language Design. Digital Repository at the University of Maryland (University of Maryland College Park). 1 indexed citations
16.
Chen, Xiaoguang & Mark Austin. (1995). A Systems Approach to Nonlinear Finite Element Analysis of Shell Structures. Digital Repository at the University of Maryland (University of Maryland College Park). 1 indexed citations
17.
Austin, Mark, et al.. (1993). Finite Element Analysis and Design of Bridges with Applicatrons of ICAD. 169–175. 1 indexed citations
18.
Austin, Mark, et al.. (1992). Finite Element Analysis and Design of Bridges in a Distributed Computing Environment. 671–678. 1 indexed citations
19.
Austin, Mark, et al.. (1992). Solid Modeling of RC Beams: I. Data Structures and Algorithms. Journal of Computing in Civil Engineering. 6(4). 389–403. 4 indexed citations
20.
Austin, Mark & John Posnett. (1979). Charitable Activity in England and Wales*. Social Policy and Administration. 13(3). 171–185. 1 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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