Steven Dirven

480 citations
23 papers · 347 · h-index 11

Impact in

Papers in

Steven Dirven

23 papers receiving 342 citations

Peers

Steven Dirven
Comparison fields: 5 of 53
  • Speech and Hearing 47
  • Biomedical Engineering 237
  • Automotive Engineering 60
  • Condensed Matter Physics 33
  • Mechanical Engineering 96
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Sihao Han China
Qun Yan China
Junfeng He China
Luzhen Nie United Kingdom
Woo-Young Choi South Korea
Robin M. Neville United Kingdom
Ryohei Uchida Japan
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Tao Fu China
Xihang Jiang China
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Citations per field
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Citations per year

Countries citing papers authored by Steven Dirven

Since Specialization
Citations

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

Fields of papers citing papers by Steven Dirven

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Steven Dirven, 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 Steven Dirven Line = papers co-authored together Steven Dirven links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201749
2 201349
3 201349
4 201641
5 201223
6 201418
7 201616
8 201515
9 201612
10 201711
11 201610
12 20139
13 20177
14 20167
15 20187
16 20174
17 20174
18 20163
19 20163
20
Strategic alignment of swallowing robotic research with the demands of the medical and food technology fields
20123

About Steven Dirven

Steven Dirven is a scholar working on Biomedical Engineering, Pulmonary and Respiratory Medicine, Speech and Hearing, Surgery and Mechanical Engineering, having authored 23 papers that have together received 347 indexed citations. Recurring topics across this work include Tracheal and airway disorders (10 papers), Dysphagia Assessment and Management (9 papers), Soft Robotics and Applications (7 papers), Esophageal and GI Pathology (5 papers), Additive Manufacturing and 3D Printing Technologies (5 papers), Robot Manipulation and Learning (4 papers), Additive Manufacturing Materials and Processes (3 papers) and Modular Robots and Swarm Intelligence (3 papers). The work is most often cited by research in Speech and Hearing (47 citations), Biomedical Engineering (237 citations), Automotive Engineering (60 citations), Condensed Matter Physics (33 citations) and Mechanical Engineering (96 citations). Steven Dirven has collaborated with scholars based in New Zealand and China. Frequent co-authors include Wei Xu, Leo K. Cheng, Jacqueline Allen, John E. Bronlund, Johan Potgieter, Khalid Mahmood Arif, Andrew McDaid, Benjamin D. Shaw, Andrew J. Pullan and Xiaoning Li. Their work appears in journals such as IEEE/ASME Transactions on Mechatronics, IEEE Sensors Journal, The International Journal of Advanced Manufacturing Technology, Measurement Science and Technology and Mechatronics.

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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