Joe LoVetri

3.7k total citations
186 papers, 2.8k citations indexed

About

Joe LoVetri is a scholar working on Biomedical Engineering, Ocean Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Joe LoVetri has authored 186 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 138 papers in Biomedical Engineering, 108 papers in Ocean Engineering and 78 papers in Electrical and Electronic Engineering. Recurrent topics in Joe LoVetri's work include Microwave Imaging and Scattering Analysis (135 papers), Geophysical Methods and Applications (108 papers) and Ultrasonics and Acoustic Wave Propagation (40 papers). Joe LoVetri is often cited by papers focused on Microwave Imaging and Scattering Analysis (135 papers), Geophysical Methods and Applications (108 papers) and Ultrasonics and Acoustic Wave Propagation (40 papers). Joe LoVetri collaborates with scholars based in Canada, United States and Italy. Joe LoVetri's co-authors include Puyan Mojabi, Colin Gilmore, Amer Zakaria, Ian Jeffrey, Mohammad Asefi, Pedram Mojabi, Majid Ostadrahimi, L. Shafai, Stephen Pistorius and Elise Fear and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, The Journal of the Acoustical Society of America and IEEE Access.

In The Last Decade

Joe LoVetri

174 papers receiving 2.7k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Joe LoVetri Canada	31	2.2k	1.5k	1.1k	620	346	186	2.8k
Matteo Pastorino Italy	34	2.3k 1.1×	1.6k 1.1×	968 0.9×	642 1.0×	453 1.3×	228	3.2k
Andrea Randazzo Italy	26	1.5k 0.7×	1.1k 0.7×	728 0.7×	399 0.6×	210 0.6×	192	2.3k
Rocco Pierri Italy	29	2.0k 0.9×	1.6k 1.1×	1.2k 1.1×	357 0.6×	579 1.7×	213	3.1k
Chrysoula Tsogka United States	19	679 0.3×	615 0.4×	426 0.4×	608 1.0×	183 0.5×	73	1.9k
Claudio Estatico Italy	21	712 0.3×	449 0.3×	174 0.2×	172 0.3×	123 0.4×	84	1.1k
Liliana Borcea United States	19	870 0.4×	373 0.3×	656 0.6×	499 0.8×	76 0.2×	67	1.8k
Isaac Harari Israel	34	616 0.3×	202 0.1×	1.7k 1.6×	2.5k 4.0×	753 2.2×	100	4.0k
Lam Nguyen United States	23	801 0.4×	549 0.4×	234 0.2×	198 0.3×	96 0.3×	153	1.7k
Waymond R. Scott United States	22	849 0.4×	1.3k 0.8×	756 0.7×	305 0.5×	238 0.7×	206	2.4k
Francesca Vipiana Italy	25	809 0.4×	206 0.1×	1.4k 1.3×	306 0.5×	991 2.9×	250	2.1k

Countries citing papers authored by Joe LoVetri

Since Specialization

Citations

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

Fields of papers citing papers by Joe LoVetri

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joe LoVetri

This figure shows the co-authorship network connecting the top 25 collaborators of Joe LoVetri. A scholar is included among the top collaborators of Joe LoVetri 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 Joe LoVetri. Joe LoVetri 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

Attar, Amir, et al.. (2024). Denoising Diffusion Probabilistic Models for Generating Tissue Type Breast Image Dataset.

Attar, Amir & Joe LoVetri. (2024). A Study of Resonance Modes for Microwave Imaging in Biomedical Applications. 649–653.

LoVetri, Joe, et al.. (2024). Microwave Imaging on S-Parameters Using FEM Thin-Wire Subcell Models. IEEE Journal of Electromagnetics RF and Microwaves in Medicine and Biology. 9(3). 263–269. 1 indexed citations

Okhmatovski, Vladimir, et al.. (2024). Assessing the potential of using a virtual Veselago lens in quantitative microwave imaging. Inverse Problems. 40(3). 35001–35001. 2 indexed citations

Kurrant, Douglas, et al.. (2019). Incorporation of Ultrasonic Prior Information for Improving Quantitative Microwave Imaging of Breast. IEEE journal on multiscale and multiphysics computational techniques. 4. 98–110. 41 indexed citations

LoVetri, Joe, et al.. (2019). A Combined Algorithm for High Resolution Microwave Breast Imaging Using Eigenfunction-based Prior. European Conference on Antennas and Propagation. 3 indexed citations

Mojabi, Pedram, et al.. (2018). Tissue-Type Imaging for Ultrasound-Prior Microwave Inversion. 1–3. 5 indexed citations

Mojabi, Pedram, et al.. (2018). Proof-of-Concept of the Incorporation of Ultrasound-Derived Structural Information Into Microwave Radar Imaging. IEEE journal on multiscale and multiphysics computational techniques. 3. 129–139. 31 indexed citations

Kurrant, Douglas, et al.. (2015). Monitoring breast cancer treatment progress with microwave tomography and radar-based tissue-regions estimation. European Conference on Antennas and Propagation. 1–2. 1 indexed citations

10.

Asefi, Mohammad, Joe LoVetri, Ian Jeffrey, et al.. (2015). Stored grain spoilage monitoring via 3D electromagnetic imaging. European Conference on Antennas and Propagation. 1–2. 2 indexed citations

11.

Ding, Liang, et al.. (2014). Enhancing microwave tomography in a circular metallic chamber by an inhomogeneous background. Acta Physica Sinica. 63(4). 44102–44102. 3 indexed citations

12.

Gilmore, Colin, Amer Zakaria, Joe LoVetri, & Stephen Pistorius. (2013). A study of matching fluid loss in a biomedical microwave tomography system. Medical Physics. 40(2). 23101–23101. 18 indexed citations

13.

Gilmore, Colin, et al.. (2011). A deconvolutional technique for microwave data calibration. 2549–2552.

14.

Gilmore, Colin, Puyan Mojabi, Amer Zakaria, Stephen Pistorius, & Joe LoVetri. (2010). On Super-Resolution With an Experimental Microwave Tomography System. IEEE Antennas and Wireless Propagation Letters. 9. 393–396. 50 indexed citations

15.

Mojabi, Puyan & Joe LoVetri. (2009). Enhancement of the Krylov Subspace Regularization for Microwave Biomedical Imaging. IEEE Transactions on Medical Imaging. 28(12). 2015–2019. 27 indexed citations

16.

Gilmore, Colin, Pedram Mojabi, Amer Zakaria, et al.. (2009). An ultra-wideband microwave tomography system: Preliminary results. PubMed. 2009. 2288–91. 3 indexed citations

17.

Phelan, Michael W. & Joe LoVetri. (2004). Discrimination of subsurface targets with a plane of symmetry using polarimetric bistatic radar. 1. 49–52.

18.

LoVetri, Joe, et al.. (2003). BLDC Motor and Drive Low Frequency Conducted RFI Simulation for Automotive Applications. SAE technical papers on CD-ROM/SAE technical paper series. 1. 1 indexed citations

19.

Kordi, Behzad, Joe LoVetri, & Greg E. Bridges. (2002). Using wavelets to characterize time-frequency features of electromagnetic coupling problems. 1 indexed citations

20.

LoVetri, Joe, et al.. (1990). Constraint propagation through electromagnetic interaction topologies. STIN. 92. 12154. 1 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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