Michael W. Sracic

27 total papers · 526 total citations
16 papers, 232 citations indexed

About

Michael W. Sracic is a scholar working on Civil and Structural Engineering, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Michael W. Sracic has authored 16 papers receiving a total of 232 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Civil and Structural Engineering, 5 papers in Electrical and Electronic Engineering and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Michael W. Sracic's work include Structural Health Monitoring Techniques (9 papers), Bladed Disk Vibration Dynamics (4 papers) and Microfluidic and Bio-sensing Technologies (4 papers). Michael W. Sracic is often cited by papers focused on Structural Health Monitoring Techniques (9 papers), Bladed Disk Vibration Dynamics (4 papers) and Microfluidic and Bio-sensing Technologies (4 papers). Michael W. Sracic collaborates with scholars based in United States, Denmark and Italy. Michael W. Sracic's co-authors include Matthew S. Allen, Shashank Chauhan, Morten Hartvig Hansen, Shifei Yang, E. P. Tomasini, Kamlesh Suthar, Paolo Castellini, Robert J. Kuether, Jonathan Braaten and Scott Connors and has published in prestigious journals such as Mechanical Systems and Signal Processing, Physics of Fluids and Polymers.

In The Last Decade

Michael W. Sracic

16 papers receiving 218 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Michael W. Sracic 167 82 78 74 41 16 232
Shifei Yang 165 1.0× 76 0.9× 130 1.7× 19 0.3× 58 1.4× 15 234
Mingrui Fu 79 0.5× 171 2.1× 39 0.5× 52 0.7× 63 1.5× 21 328
Mahmoud El‐Kafafy 244 1.5× 73 0.9× 17 0.2× 60 0.8× 67 1.6× 22 299
Pawan Pingle 172 1.0× 55 0.7× 113 1.4× 19 0.3× 69 1.7× 9 249
Simone Manzato 154 0.9× 75 0.9× 24 0.3× 66 0.9× 55 1.3× 27 221
Ying He 54 0.3× 101 1.2× 46 0.6× 170 2.3× 71 1.7× 17 311
Cyrille Stéphan 263 1.6× 101 1.2× 16 0.2× 99 1.3× 25 0.6× 14 309
Yuyao Cheng 226 1.4× 54 0.7× 27 0.3× 16 0.2× 40 1.0× 20 301
Peter Kraemer 226 1.4× 99 1.2× 20 0.3× 49 0.7× 88 2.1× 35 283
Kenny B. Elliott 234 1.4× 59 0.7× 21 0.3× 47 0.6× 50 1.2× 29 284

Countries citing papers authored by Michael W. Sracic

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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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