Michael Mondanos

593 total citations
26 papers, 429 citations indexed

About

Michael Mondanos is a scholar working on Geophysics, Electrical and Electronic Engineering and Mechanics of Materials. According to data from OpenAlex, Michael Mondanos has authored 26 papers receiving a total of 429 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Geophysics, 11 papers in Electrical and Electronic Engineering and 5 papers in Mechanics of Materials. Recurrent topics in Michael Mondanos's work include Seismic Waves and Analysis (11 papers), Advanced Fiber Optic Sensors (10 papers) and Seismic Imaging and Inversion Techniques (7 papers). Michael Mondanos is often cited by papers focused on Seismic Waves and Analysis (11 papers), Advanced Fiber Optic Sensors (10 papers) and Seismic Imaging and Inversion Techniques (7 papers). Michael Mondanos collaborates with scholars based in United States, Canada and Australia. Michael Mondanos's co-authors include Thomas Coleman, Athena Chalari, Matthew Cole, Matthew W. Becker, Beth L. Parker, Stefan Krause, Francesco Ciocca, J. S. Selker, Tanguy Le Borgne and T. Read and has published in prestigious journals such as Water Resources Research, Geophysical Research Letters and Journal of Hydrology.

In The Last Decade

Michael Mondanos

24 papers receiving 404 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Mondanos United States 10 246 141 136 118 69 26 429
Thomas Coleman United States 14 313 1.3× 189 1.3× 174 1.3× 114 1.0× 100 1.4× 25 521
Athena Chalari United Kingdom 9 446 1.8× 73 0.5× 217 1.6× 184 1.6× 48 0.7× 32 666
Jan-Diederik van Wees Netherlands 6 188 0.8× 132 0.9× 77 0.6× 34 0.3× 91 1.3× 7 453
P. T. Negraru United States 6 154 0.6× 120 0.9× 98 0.7× 22 0.2× 88 1.3× 14 371
Feras Abdulsamad France 14 284 1.2× 93 0.7× 188 1.4× 27 0.2× 18 0.3× 24 418
Thorsten Agemar Germany 9 137 0.6× 192 1.4× 96 0.7× 42 0.4× 86 1.2× 15 415
Hideshi Kaieda Japan 12 412 1.7× 105 0.7× 274 2.0× 43 0.4× 136 2.0× 32 598
Xianjin Yang United States 15 456 1.9× 278 2.0× 373 2.7× 20 0.2× 126 1.8× 25 659
Ludovic Ricard Australia 9 109 0.4× 111 0.8× 100 0.7× 19 0.2× 86 1.2× 46 300
Tina Martin Germany 11 250 1.0× 94 0.7× 172 1.3× 46 0.4× 34 0.5× 27 375

Countries citing papers authored by Michael Mondanos

Since Specialization
Citations

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

Fields of papers citing papers by Michael Mondanos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael Mondanos. 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 Mondanos. The network helps show where Michael Mondanos may publish in the future.

Co-authorship network of co-authors of Michael Mondanos

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Mondanos. A scholar is included among the top collaborators of Michael Mondanos 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 Mondanos. Michael Mondanos 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
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Pevzner, Roman, Stanislav Glubokovskikh, Sinem Yavuz, et al.. (2021). An automated system for continuous monitoring of CO2 geosequestration using multi-well offset VSP with permanent seismic sources and receivers: Stage 3 of the CO2CRC Otway Project. International journal of greenhouse gas control. 108. 103317–103317. 34 indexed citations
3.
Jenkins, Charles, et al.. (2021). Innovation and instrumentation in CO2 monitoring wells for reservoir surveillance and advanced diagnostics. The APPEA Journal. 61(2). 530–535. 1 indexed citations
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Abesser, Corinna, Francesco Ciocca, John W. A. Findlay, et al.. (2020). A distributed heat pulse sensor network for thermo-hydraulic monitoring of the soil subsurface. Quarterly Journal of Engineering Geology and Hydrogeology. 53(3). 352–365. 6 indexed citations
6.
Mondanos, Michael & Thomas Coleman. (2019). Application of distributed fibre-optic sensing to geothermal reservoir characterization and monitoring. First Break. 37(7). 51–56. 14 indexed citations
7.
Chalari, Athena, Michael Mondanos, Thomas Coleman, M. Farhadiroushan, & A. Stork. (2019). Seismic Methods for Geothermal Reservoir Characterization and Monitoring Using Fiber Optic Distributed Acoustic and Temperature Sensor. 1–6. 3 indexed citations
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Ciocca, Francesco, Ludovic Bodet, A. Clarke, et al.. (2017). Towards the Wetness Characterization of Soil Subsurface Using Fibre Optic Distributed Acoustic Sensing. HAL (Le Centre pour la Communication Scientifique Directe). 2017. 2 indexed citations
10.
Lord, N. E., et al.. (2017). An Experimental Investigation of Distributed Acoustic Sensing (DAS) on Lake Ice. Journal of Environmental and Engineering Geophysics. 22(2). 167–176. 16 indexed citations
11.
Becker, Matthew W., et al.. (2017). Fluid pressure sensing with fiber-optic distributed acoustic sensing. The Leading Edge. 36(12). 1018–1023. 18 indexed citations
12.
Coleman, Thomas, et al.. (2017). Novel cable coupling technique for improved shallow distributed acoustic sensor VSPs. Journal of Applied Geophysics. 138. 72–79. 34 indexed citations
13.
Mondanos, Michael, et al.. (2017). A Practical Application of Pipeline Surveillance and Intrusion Monitoring System in the Niger Delta: The Umugini Case Study. SPE Nigeria Annual International Conference and Exhibition. 3 indexed citations
14.
Becker, Matthew W., et al.. (2017). Fracture hydromechanical response measured by fiber optic distributed acoustic sensing at milliHertz frequencies. Geophysical Research Letters. 44(14). 7295–7302. 80 indexed citations
15.
Bense, Victor, T. Read, Olivier Bour, et al.. (2016). Distributed Temperature Sensing as a downhole tool in hydrogeology. Water Resources Research. 52(12). 9259–9273. 96 indexed citations
16.
Ciocca, Francesco, Stefan Krause, Athena Chalari, & Michael Mondanos. (2015). Fibre Optics Distributed Temperature Sensing for EcoHydrological Characterization of a Complex Terrain. EGU General Assembly Conference Abstracts. 13958. 1 indexed citations
17.
Mandal, Sudeep, et al.. (2015). Characterization and calibration of Raman based distributed temperature sensing system for 600°C operation. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9491. 94910A–94910A. 5 indexed citations
18.
Coleman, Thomas, et al.. (2015). Groundwater flow characterization in a fractured bedrock aquifer using active DTS tests in sealed boreholes. Journal of Hydrology. 528. 449–462. 53 indexed citations
19.
Chalari, Athena, Michael Mondanos, D.C. Finfer, et al.. (2012). Short-term monitoring of a gas seep field in the Katakolo bay (Western Greece) using Raman spectra DTS and DAS fibre-optic methods. AGUFM. 2012. 1 indexed citations
20.
Giles, Ian, Michael Mondanos, Rodney A. Badcock, & Peter Lloyd. (1999). <title>Distributed optical-fiber-based damage detection in composites</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 3670. 311–321. 5 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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