Mark Austin

1.2k citations
83 papers · 758 · h-index 15

Impact in

  • Software top 5%
    • Model-Driven Software Engineering Techniques
    • Numerical methods for differential equations

Papers in

Mark Austin

74 papers receiving 705 citations

Peers

Mark Austin
Comparison fields: 5 of 108
  • Software 76
  • Numerical Analysis 71
  • Industrial and Manufacturing Engineering 134
  • Management Information Systems 69
  • Building and Construction 97
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Dana Petcu Romania
S. K. Smit Netherlands
Nikolaos Samaras Greece
Mauro Gaggero Italy
Ciro D’Apice Italy
Liansheng Tan China
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Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Mark Austin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mark Austin Line = papers co-authored together Mark Austin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020154
2 199363
3 201661
4 201340
5 200832
6 198525
7 199322
8 200422
9
Requirements Engineering and the Semantic Web, Part II. Representaion, Management, and Validation of Requirements and System-Level Architectures
200419
10
Natural Language Processing of Textual Requirements
201518
11 198717
12 200617
13 200616
14 201716
15 198715
16 202213
17 201313
18 201511
19
Semantic Web Methodologies for Spatial Decision Support
20049
20 20009

About Mark Austin

Mark Austin is a scholar working on Artificial Intelligence, Information Systems, Software, Civil and Structural Engineering and Management Information Systems, having authored 83 papers that have together received 758 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (23 papers), Model-Driven Software Engineering Techniques (15 papers), Service-Oriented Architecture and Web Services (14 papers), Business Process Modeling and Analysis (10 papers), Advanced Software Engineering Methodologies (10 papers), BIM and Construction Integration (10 papers), Seismic Performance and Analysis (9 papers) and Structural Health Monitoring Techniques (6 papers). The work is most often cited by research in Software (76 citations), Numerical Analysis (71 citations), Industrial and Manufacturing Engineering (134 citations), Management Information Systems (69 citations) and Building and Construction (97 citations). Mark Austin has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Mohammad Heidarinejad, Li‐Sheng Wang, P. S. Krishnaprasad, Kristofer S. J. Pister, Karl S. Pister, Stephen A. Mahin, Edward Carney, Elias Bou‐Harb, Michael J. Casey and Evangelos Kaisar. Their work appears in journals such as Journal of Computing in Civil Engineering, Journal of Structural Engineering, Alzheimer s & Dementia, Systems Engineering and Journal of Management in Engineering.

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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