Michael W. Sracic
- Civil and Structural Engineering top 10%
- Mechanical Engineering
- Computer Vision and Pattern Recognition top 10%
- Control and Systems Engineering top 10%
- Mechanics of Materials
- Co-authors
- Matthew S. AllenShashank ChauhanMorten Hartvig HansenShifei YangKamlesh SutharPaolo CastelliniE. P. TomasiniRobert J. Kuether
- Topics
- Structural Health Monitoring Techniques (9 papers)Optical measurement and interference techniques (4 papers)Microfluidic and Bio-sensing Technologies (4 papers)
- Cited by
- Civil and Structural EngineeringComputer Vision and Pattern RecognitionControl and Systems Engineering
- Partner nations
- United StatesDenmarkItaly
In The Last Decade
Michael W. Sracic
16 papers receiving 220 citations
Peers
Comparison fields: 5 of 36
- Civil and Structural Engineering 168
- Mechanical Engineering 82
- Computer Vision and Pattern Recognition 79
- Control and Systems Engineering 74
- Mechanics of Materials 41
Countries citing papers authored by Michael W. Sracic
This map shows the geographic impact of Michael W. Sracic'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 Michael W. Sracic with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael W. Sracic more than expected).
Fields of papers citing papers by Michael W. Sracic
This network shows the impact of papers produced by Michael W. Sracic. 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 Michael W. Sracic. The network helps show where Michael W. Sracic may publish in the future.
Co-authorship network of co-authors of Michael W. Sracic
This figure shows the co-authorship network connecting the top 25 collaborators of Michael W. Sracic. A scholar is included among the top collaborators of Michael W. Sracic based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michael W. Sracic. Michael W. Sracic is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 3 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 10 | |
| 8 | 10 | |
| 9 | 7 | |
| 10 | A NEW EXPERIMENTAL METHOD FOR NONLINEAR SYSTEM IDENTIFICATION BASED ON LINEAR TIME PERIODIC APPROXIMATIONS | 2 |
| 11 | 76 | |
| 12 | 17 | |
| 13 | 15 | |
| 14 | 4 | |
| 15 | 69 | |
| 16 | 11 |
About Michael W. Sracic
Michael W. Sracic is a scholar working on Architecture, Civil and Structural Engineering and Physiology, having authored 16 papers that have together received 234 indexed citations. Recurring topics across this work include Structural Health Monitoring Techniques (9 papers), Optical measurement and interference techniques (4 papers) and Microfluidic and Bio-sensing Technologies (4 papers). The work is most often cited by research in Civil and Structural Engineering (168 citations), Computer Vision and Pattern Recognition (79 citations) and Control and Systems Engineering (74 citations). Michael W. Sracic has collaborated with scholars based in United States, Denmark and Italy. Frequent co-authors include Matthew S. Allen, Shashank Chauhan, Morten Hartvig Hansen, Shifei Yang, Kamlesh Suthar, Paolo Castellini, E. P. Tomasini, Robert J. Kuether, Pavana Prabhakar and Tim A. Osswald. Their work appears in journals such as Mechanical Systems and Signal Processing, Physics of Fluids and Polymers.
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.