Juan M. Caicedo

2.5k total citations
82 papers, 1.9k citations indexed

About

Juan M. Caicedo is a scholar working on Civil and Structural Engineering, Mechanics of Materials and Mechanical Engineering. According to data from OpenAlex, Juan M. Caicedo has authored 82 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Civil and Structural Engineering, 19 papers in Mechanics of Materials and 14 papers in Mechanical Engineering. Recurrent topics in Juan M. Caicedo's work include Structural Health Monitoring Techniques (44 papers), Structural Engineering and Vibration Analysis (18 papers) and Ultrasonics and Acoustic Wave Propagation (15 papers). Juan M. Caicedo is often cited by papers focused on Structural Health Monitoring Techniques (44 papers), Structural Engineering and Vibration Analysis (18 papers) and Ultrasonics and Acoustic Wave Propagation (15 papers). Juan M. Caicedo collaborates with scholars based in United States, Colombia and Iraq. Juan M. Caicedo's co-authors include Shirley J. Dyke, Boris A. Zárate, Paul Ziehl, E. A. Johnson, Jianguo Yu, Yi Fu, J. D. Carlson, Lawrence A. Bergman, Gürsoy Turan and Johannio Marulanda and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioresource Technology and Expert Systems with Applications.

In The Last Decade

Juan M. Caicedo

78 papers receiving 1.8k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Juan M. Caicedo United States 20 1.4k 457 360 237 117 82 1.9k
Yunlai Zhou China 20 956 0.7× 436 1.0× 484 1.3× 120 0.5× 88 0.8× 104 1.4k
Hongping Zhu China 25 1.3k 0.9× 607 1.3× 368 1.0× 148 0.6× 205 1.8× 52 1.5k
Thanh Bui-Tien Vietnam 18 978 0.7× 295 0.6× 310 0.9× 115 0.5× 75 0.6× 68 1.4k
Marco Civera Italy 19 732 0.5× 273 0.6× 297 0.8× 175 0.7× 105 0.9× 74 1.1k
Mehrisadat Makki Alamdari Australia 23 1.1k 0.8× 368 0.8× 371 1.0× 117 0.5× 47 0.4× 58 1.3k
Ratneshwar Jha United States 18 627 0.4× 505 1.1× 276 0.8× 172 0.7× 77 0.7× 99 1.1k
Wei‐Xin Ren China 18 1.2k 0.8× 458 1.0× 238 0.7× 199 0.8× 97 0.8× 47 1.4k
Henri P. Gavin United States 24 1.8k 1.3× 178 0.4× 359 1.0× 340 1.4× 229 2.0× 85 2.2k
Shunlong Li China 20 1.3k 0.9× 315 0.7× 304 0.8× 150 0.6× 53 0.5× 69 1.5k
Alireza Entezami Italy 26 1.4k 1.0× 334 0.7× 197 0.5× 156 0.7× 62 0.5× 64 1.6k

Countries citing papers authored by Juan M. Caicedo

Since Specialization
Citations

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

Fields of papers citing papers by Juan M. Caicedo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Juan M. Caicedo. 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 Juan M. Caicedo. The network helps show where Juan M. Caicedo may publish in the future.

Co-authorship network of co-authors of Juan M. Caicedo

This figure shows the co-authorship network connecting the top 25 collaborators of Juan M. Caicedo. A scholar is included among the top collaborators of Juan M. Caicedo 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 Juan M. Caicedo. Juan M. Caicedo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Caicedo, Juan M., et al.. (2024). Probabilistic Comparative Assessment of Structural Cement Composite Compressive Strength–Porosity Models. Journal of Structural Engineering. 150(11). 4 indexed citations
2.
Caicedo, Juan M., et al.. (2024). Probabilistic Estimation of Cadence and Walking Speed From Floor Vibrations. IEEE Journal of Translational Engineering in Health and Medicine. 12. 508–519. 3 indexed citations
3.
Caicedo, Juan M., et al.. (2023). Probabilistic detection of impacts using the PFEEL algorithm with a Gaussian Process Regression Model. Engineering Structures. 291. 116255–116255. 5 indexed citations
4.
Jiang, Zhaoshuo, et al.. (2021). Probabilistic Force Estimation and Event Localization (PFEEL) algorithm. Engineering Structures. 252. 113535–113535. 11 indexed citations
5.
Soltangharaei, Vafa, et al.. (2019). Hsu-Nielsen source acoustic emission data on a concrete block. SHILAP Revista de lepidopterología. 23. 103813–103813. 27 indexed citations
6.
Elkholy, Mohamed, et al.. (2019). Uncertainty Quantification for Damping in Transient Pressure Oscillations. Journal of Water Resources Planning and Management. 145(9). 10 indexed citations
7.
Islam, Md. Rashidul, et al.. (2018). A Study of 13.5-MHz Coupled-Loop Wireless Power Transfer Under Concrete and Near Metal. IEEE Sensors Journal. 18(23). 9848–9856. 11 indexed citations
8.
Caicedo, Juan M., et al.. (2017). Mode shapes identification under harmonic excitation using mobile sensors. Ingeniería y Competitividad. 19(1). 165–173. 4 indexed citations
9.
Rajan, Sreehari, et al.. (2017). A Stereovision Deformation Measurement System for Transfer Length Estimates in Prestressed Concrete. Experimental Mechanics. 58(7). 1035–1048. 11 indexed citations
10.
Boateng, Linkel K., et al.. (2016). A probabilistic approach for estimating water permeability in pressure-driven membranes. Journal of Molecular Modeling. 22(8). 185–185. 4 indexed citations
11.
Caicedo, Juan M., et al.. (2015). Real-Time Wireless Moisture Sensing in Concrete Using Interdigitated Stick-on Sensors. SHILAP Revista de lepidopterología. 5 indexed citations
12.
Li, Liang, Joseph R.V. Flora, Juan M. Caicedo, & Nicole D. Berge. (2015). Investigating the role of feedstock properties and process conditions on products formed during the hydrothermal carbonization of organics using regression techniques. Bioresource Technology. 187. 263–274. 47 indexed citations
13.
Pierce, Charles E., et al.. (2014). Integrating professional and technical engineering skills with the EFFECTs pedagogical framework. International journal of engineering education. 30(6). 1579–1589. 4 indexed citations
14.
Baxter, Sarah C. & Juan M. Caicedo. (2014). Probabilistic Parameters in the MR Hyperbolic Tangent Damper Model. Scholar Commons (University of South Carolina). 51–59. 3 indexed citations
15.
Ziehl, Paul, et al.. (2013). Plain Pile Embedment for Exterior Bent Cap Connections in Seismic Regions. Journal of Bridge Engineering. 19(4). 15 indexed citations
16.
Goodall, Jonathan L., et al.. (2012). Application of the Open Geospatial Consortium (OGC) Web Processing Service (WPS) Standard for Exposing Water Models as Web Services. Digital Commons - USU (Utah State University). 2012. 1492–1492. 10 indexed citations
17.
Caicedo, Juan M., et al.. (2011). Simplifying Bridge Expansion Joint Design and Maintenance. 5 indexed citations
18.
Rizos, Dimitris, et al.. (2010). A procedure to develop scalable models for the transient response of sleepers in conventional and high-speed railway lines and implementation to the vertical vibration mode. Soil Dynamics and Earthquake Engineering. 31(3). 502–511. 2 indexed citations
19.
Friedman, Daniela B., et al.. (2009). An exploration into inquiry-based learning by a multidisciplinary group of higher education faculty. Higher Education. 59(6). 765–783. 29 indexed citations
20.
Song, Wei, et al.. (2009). Modal Identification through Ambient Vibration: Comparative Study. Journal of Engineering Mechanics. 135(8). 759–770. 74 indexed citations

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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