Irma Shamatava

860 total citations
114 papers, 620 citations indexed

About

Irma Shamatava is a scholar working on Ocean Engineering, Geophysics and Mechanical Engineering. According to data from OpenAlex, Irma Shamatava has authored 114 papers receiving a total of 620 indexed citations (citations by other indexed papers that have themselves been cited), including 97 papers in Ocean Engineering, 91 papers in Geophysics and 58 papers in Mechanical Engineering. Recurrent topics in Irma Shamatava's work include Geophysical Methods and Applications (95 papers), Geophysical and Geoelectrical Methods (90 papers) and Non-Destructive Testing Techniques (57 papers). Irma Shamatava is often cited by papers focused on Geophysical Methods and Applications (95 papers), Geophysical and Geoelectrical Methods (90 papers) and Non-Destructive Testing Techniques (57 papers). Irma Shamatava collaborates with scholars based in United States, United Kingdom and Georgia. Irma Shamatava's co-authors include Fridon Shubitidze, Keith D. Paulsen, Kevin O’Neill, Benjamin E. Barrowes, K. O’Neill, Keli Sun, J. P. Fernández, D. Karkashadze, Tomasz M. Grzegorczyk and Chi‐Chih Chen and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, Geophysics and Cancers.

In The Last Decade

Irma Shamatava

97 papers receiving 578 citations

Peers

Irma Shamatava

GEOPH

OCEAN

EEE

Leonard R. Pasion Canada

Bruce Barrow United States

Chaojian Chen China

T. W. Spencer United States

M. Farhadiroushan United Kingdom

Shahid A. Haider Canada

Nasser Kazemi Canada

Xiuyan Ren China

T.R. Clem United States

Leonard R. Pasion Canada

Irma Shamatava

380 ×0.8

387 ×0.9

GEOPH

165 ×0.7

103 ×0.8

OCEAN

48 ×0.6

EEE

Citations per year, relative to Irma Shamatava Irma Shamatava (= 1×) peers Leonard R. Pasion

Countries citing papers authored by Irma Shamatava

Since Specialization

Citations

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

Fields of papers citing papers by Irma Shamatava

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Irma Shamatava

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

All Works

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20 of 20 papers shown

Shamatava, Irma, et al.. (2023). Design and Assessment of a Novel Biconical Human-Sized Alternating Magnetic Field Coil for MNP Hyperthermia Treatment of Deep-Seated Cancer. Cancers. 15(6). 1672–1672. 9 indexed citations

Shubitidze, Fridon, Benjamin E. Barrowes, & Irma Shamatava. (2019). EMI Sensing for Underwater Metallic Targets Detection and Classification. OCEANS 2019 - Marseille. 1–10. 1 indexed citations

Shubitidze, Fridon, et al.. (2014). Detecting and classifying small and deep targets using improved EMI hardware and data processing approach. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9072. 90720I–90720I. 5 indexed citations

Shubitidze, Fridon, et al.. (2012). ONVMS applied to a new advanced portable EMI system data. 145–148.

Shamatava, Irma, et al.. (2012). Application of the ONVMS model to discriminate challenging UXO targets. 141–144. 2 indexed citations

Shubitidze, Fridon, et al.. (2012). Joint diagonalization applied to the detection and discrimination of unexploded ordnance. Geophysics. 77(4). WB149–WB160. 22 indexed citations

Shubitidze, Fridon, et al.. (2011). Investigating Tx coils and magnetic field Rx sensor configurations for underwater geo-location. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8017. 80170V–80170V. 2 indexed citations

Shubitidze, Fridon, et al.. (2010). Comparison of the physically complete model with a simple dipole model for UXO detection and discrimination. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7664. 766408–766408. 5 indexed citations

Shubitidze, Fridon, et al.. (2009). Near and far EMI field analyses in a conducting environment to enhance underwater UXO detection. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7303. 73030D–73030D. 2 indexed citations

10.

Shamatava, Irma, et al.. (2009). Applying the physically complete EMI models to the ESTCP Camp Sibert Pilot Study EM-63 data. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7303. 73030O–73030O. 2 indexed citations

11.

Shubitidze, Fridon, et al.. (2008). A New Physics-Based Approach for Estimating a Buried Object's Location, Orientation and Magnetic Polarization from EMI Data. Journal of Environmental and Engineering Geophysics. 13(3). 115–130. 13 indexed citations

12.

Shubitidze, Fridon, J. P. Fernández, Benjamin E. Barrowes, Irma Shamatava, & K. O’Neill. (2008). Combining NSMS and High-Quality MPV-TD Data for UXO Discrimination. II–17. 3 indexed citations

13.

Shubitidze, Fridon, Benjamin E. Barrowes, K. O’Neill, Irma Shamatava, & J. P. Fernández. (2007). Combined Nsmc And Pseudo-Spectral Finite-Difference Method For Inverting A Buried Object Location. 3 indexed citations

14.

Shubitidze, Fridon, K. O’Neill, Benjamin E. Barrowes, et al.. (2006). Application of the normalized surface magnetic charge model to UXO discrimination in cases with overlapping signals. Journal of Applied Geophysics. 61(3-4). 292–303. 44 indexed citations

15.

O’Neill, K., et al.. (2005). UXO signature extraction from measurement data: automatic weighting and regularization. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5794. 275–275.

16.

Shubitidze, Fridon, K. O’Neill, Irma Shamatava, Keli Sun, & Keith D. Paulsen. (2005). Fast and accurate calculation of physically complete EMI response by a heterogeneous metallic object. IEEE Transactions on Geoscience and Remote Sensing. 43(8). 1736–1750. 37 indexed citations

17.

O’Neill, K., et al.. (2005). Discrimination of UXO buried under magnetic soil. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5794. 308–308. 5 indexed citations

18.

Shamatava, Irma, et al.. (2004). Simple magnetic charge model for representation of emi responses from a buried UXO. 155–159. 9 indexed citations

19.

Shubitidze, Fridon, et al.. (2004). Semi-analytical calculation of Jacobian in the electromagnetic inverse scattering problem. 1. 543–546. 3 indexed citations

20.

Shubitidze, Fridon, Kevin O’Neill, Irma Shamatava, Keli Sun, & Keith D. Paulsen. (2003). Analysis of EMI scattering to support UXO discrimination: heterogeneous and multiple objects. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5089. 928–928. 8 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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