Daniel John Inman

50.6k citations
800 papers · 40.9k · 22 hit papers · h-index 87

Impact in

Papers in

Daniel John Inman

772 papers receiving 39.4k citations

Daniel John Inman's Hit Papers

Nonlinear vibration energy harvesting and vibration suppression technologies: Designs, analysis, and applications 2021 · 200 citations
2000+6+12Years since publication50010001.5k2.0k

Peers

Daniel John Inman
Comparison fields: 5 of 199
  • Civil and Structural Engineering 17.9k
  • Mechanical Engineering 21.7k
  • Nuclear Energy and Engineering 161
  • Mechanics of Materials 8.3k
  • Biomedical Engineering 13.2k
Replace Kim Meow Liew with:
Kim Meow Liew Hong Kong
Gangbing Song United States
Michael I. Friswell United Kingdom
Timon Rabczuk Germany
Hong Shun Hao Australia
Chun‐Hui Wang Australia
Ted Belytschko United States
Junuthula Narasimha Reddy United States
Klaus‐Jürgen Bathe United States
Olgierd Cecil Zienkiewicz United Kingdom
Daniel John Inman relative to Kim Meow Liew Hong Kong Kim Meow Liew's profile →
Citations per field
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Citations per year

Countries citing papers authored by Daniel John Inman

Since Specialization
Citations

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

Fields of papers citing papers by Daniel John Inman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 800 papers — load more, or switch the sort, to bring in the rest.

#Work
1
1D convolutional neural networks and applications: A survey
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20212015
2
Piezoelectric Energy Harvesting
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20111571
3
Energy Harvesting Technologies
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20081567
4
An experimentally validated bimorph cantilever model for piezoelectric energy harvesting from base excitations
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20091190
5
A Review of Morphing Aircraft
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20111132
6
A Review of Power Harvesting from Vibration Using Piezoelectric Materials
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20041112
7
Real-time vibration-based structural damage detection using one-dimensional convolutional neural networks
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20161076
8
A review of vibration-based damage detection in civil structures: From traditional methods to Machine Learning and Deep Learning applications
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20201066
9
High-Performance Piezoelectric Energy Harvesters and Their Applications
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20181059
10
Overview of Piezoelectric Impedance-Based Health Monitoring and Path Forward
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2003858
11
A piezomagnetoelastic structure for broadband vibration energy harvesting
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2009857
12
Broadband piezoelectric power generation on high-energy orbits of the bistable Duffing oscillator with electromechanical coupling
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2010698
13
A Self-Sensing Piezoelectric Actuator for Collocated Control
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1992630
14
Estimation of Electric Charge Output for Piezoelectric Energy Harvesting
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2004620
15
On Mechanical Modeling of Cantilevered Piezoelectric Vibration Energy Harvesters
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2008561
16
Broadband tristable energy harvester: Modeling and experiment verification
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2014545
17
Comparison of Piezoelectric Energy Harvesting Devices for Recharging Batteries
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2005520
18
1-D CNNs for structural damage detection: Verification on a structural health monitoring benchmark data
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2017438
19
A piezoelectric bistable plate for nonlinear broadband energy harvesting
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2010428
20 2008402

About Daniel John Inman

Daniel John Inman is a scholar working on Civil and Structural Engineering, Mechanical Engineering, Aerospace Engineering, Mechanics of Materials and Control and Systems Engineering, having authored 800 papers that have together received 40.9k indexed citations. Recurring topics across this work include Structural Health Monitoring Techniques (244 papers), Innovative Energy Harvesting Technologies (173 papers), Aeroelasticity and Vibration Control (165 papers), Ultrasonics and Acoustic Wave Propagation (110 papers), Vibration Control and Rheological Fluids (100 papers), Structural Analysis and Optimization (100 papers), Vibration and Dynamic Analysis (90 papers) and Energy Harvesting in Wireless Networks (75 papers). The work is most often cited by research in Civil and Structural Engineering (17.9k citations), Mechanical Engineering (21.7k citations), Nuclear Energy and Engineering (161 citations), Mechanics of Materials (8.3k citations) and Biomedical Engineering (13.2k citations). Daniel John Inman has collaborated with scholars based in United States, Brazil and United Kingdom. Frequent co-authors include Alper Ertürk, Gyuhae Park, Henry Angelo Sodano, Onur Avcı, Osama Abdeljaber, Shashank Priya, Moncef Gabbouj, Michael I. Friswell, Shengxi Zhou and Serkan Kıranyaz. Their work appears in journals such as Journal of Intelligent Material Systems and Structures, Journal of Sound and Vibration, Journal of vibration and acoustics, Smart Materials and Structures and Mechanical Systems and Signal Processing.

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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