Steve Cassidy

1.4k citations
75 papers · 708 · h-index 14

Impact in

Papers in

    • Natural Language Processing Techniques 17
    • Semantic Web and Ontologies 10
    • Speech Recognition and Synthesis 9
    • Speech and dialogue systems 8
    • Reservoir Engineering and Simulation Methods 23
    • Oil and Gas Production Techniques 16
    • Drilling and Well Engineering 13

Steve Cassidy

67 papers receiving 604 citations

Peers

Steve Cassidy
Comparison fields: 5 of 86
  • Linguistics and Language 144
  • Experimental and Cognitive Psychology 197
  • Signal Processing 117
  • Artificial Intelligence 340
  • Ocean Engineering 114
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Citations per field
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Citations per year

Countries citing papers authored by Steve Cassidy

Since Specialization
Citations

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

Fields of papers citing papers by Steve Cassidy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Steve Cassidy, 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 Steve Cassidy Line = papers co-authored together Steve Cassidy links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001119
2 200082
3 199966
4 201136
5 200529
6 201628
7 199323
8 200622
9 199916
10 200715
11 201413
12
An RDF realisation of LAF in the DADA annotation server
201013
13 201613
14 200213
15 201113
16
Recent developments in the Emu Speech Database system
200613
17 201212
18 20119
19
Finding Names in Trove: Named Entity Recognition for Australian Historical Newspapers
20159
20 20159

About Steve Cassidy

Steve Cassidy is a scholar working on Artificial Intelligence, Ocean Engineering, Information Systems, Mechanical Engineering and Computer Networks and Communications, having authored 75 papers that have together received 708 indexed citations. Recurring topics across this work include Reservoir Engineering and Simulation Methods (23 papers), Natural Language Processing Techniques (17 papers), Oil and Gas Production Techniques (16 papers), Drilling and Well Engineering (13 papers), Hydraulic Fracturing and Reservoir Analysis (11 papers), Semantic Web and Ontologies (10 papers), Speech Recognition and Synthesis (9 papers) and Speech and dialogue systems (8 papers). The work is most often cited by research in Linguistics and Language (144 citations), Experimental and Cognitive Psychology (197 citations), Signal Processing (117 citations), Artificial Intelligence (340 citations) and Ocean Engineering (114 citations). Steve Cassidy has collaborated with scholars based in Netherlands, Australia and United States. Frequent co-authors include Jonathan Harrington, Andreï Popa, Iraj Ershaghi, Mehmet A. Orgun, Dominique Estival, Denis Burnham, Janet Fletcher, Chris Roast, Sunghwan Mac Kim and Frances Slack. Their work appears in journals such as Language Resources and Evaluation, SAE technical papers on CD-ROM/SAE technical paper series, Computer Speech & Language, Medicine & Science in Sports & Exercise and Diabetic Medicine.

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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