Daniel J. Inman

46.8k citations
743 papers · 35.5k indexed · 20 hit papers · h-index 82

Impact in

Papers in

Daniel J. Inman

724 papers receiving 33.9k citations

Hit Papers

1D convolutional neural networks and applications: A survey 2022 · 1.6k citations
1.6k199220262003201450010001.5k

Peers

Daniel J. Inman
Comparison fields: 5 of 194
  • Civil and Structural Engineering 16.3k
  • Mechanical Engineering 19.0k
  • Mechanics of Materials 7.6k
  • Nuclear Energy and Engineering 129
  • Biomedical Engineering 11.7k
Replace K.M. Liew with:
K.M. Liew Hong Kong
Hui Li China
Gangbing Song United States
Michael I. Friswell United Kingdom
Timon Rabczuk Germany
Hong Hao Australia
Ted Belytschko United States
Klaus‐Jürgen Bathe United States
J. N. Reddy United States
Quan Wang China
Daniel J. Inman relative to K.M. Liew Hong Kong K.M. Liew's profile →
Citations per field
00.5×3.3×
K.M. Liew · 1×
Citations per year

Countries citing papers authored by Daniel J. Inman

Since Specialization
Citations

This map shows the geographic impact of Daniel J. 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 J. 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 J. Inman more than expected).

Fields of papers citing papers by Daniel J. Inman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20258
2 20244
3 202411
4 20232
5 202294
6
1D convolutional neural networks and applications: A survey
Hit paper breakdown →
20221571
7
Nonlinear vibration energy harvesting and vibration suppression technologies: Designs, analysis, and applications
Hit paper breakdown →
2021179
8 20212
9 20205
10 201927
11 20142
12 20121
13
Abstract 15551: Vibration Powered Cardiac Rhythm Devices
20123
14 20093
15
The Response of Rotating Machines on Viscoelastic Supports
20076
16 200262
17
Structural FRF Acquisition via Electric Impedance Measurement Applied to Damage Location, #187
20009
18
A Tutorial on Complex Eigenvalues
199517
19
Wave motion, intelligent structures and nonlinear mechanics : a Herbert Überall Festschrift volume
19951
20
NOISE LEVELS IN RAILROAD OPERATIONS
19741

About Daniel J. Inman

Daniel J. Inman is a scholar working on Civil and Structural Engineering, Aerospace Engineering, Control and Systems Engineering, Mechanics of Materials and Mechanical Engineering, having authored 743 papers that have together received 35.5k indexed citations. Recurring topics across this work include Structural Health Monitoring Techniques (231 papers), Innovative Energy Harvesting Technologies (164 papers), Aeroelasticity and Vibration Control (158 papers), Ultrasonics and Acoustic Wave Propagation (100 papers), Vibration Control and Rheological Fluids (93 papers), Structural Analysis and Optimization (92 papers), Vibration and Dynamic Analysis (89 papers) and Energy Harvesting in Wireless Networks (68 papers). The work is most often cited by research in Civil and Structural Engineering (16.3k citations), Mechanical Engineering (19.0k citations), Mechanics of Materials (7.6k citations), Nuclear Energy and Engineering (129 citations) and Biomedical Engineering (11.7k citations). Daniel J. Inman has collaborated with scholars based in United States, Brazil and United Kingdom. Frequent co-authors include Alper Ertürk, Gyuhae Park, Henry A. Sodano, Onur Avcı, Osama Abdeljaber, Serkan Kıranyaz, Moncef Gabbouj, Shengxi Zhou, Michael I. Friswell and M. Amin Karami. 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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