L. Urso

690 total citations
21 papers, 396 citations indexed

About

L. Urso is a scholar working on Global and Planetary Change, Nuclear and High Energy Physics and Aerospace Engineering. According to data from OpenAlex, L. Urso has authored 21 papers receiving a total of 396 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Global and Planetary Change, 8 papers in Nuclear and High Energy Physics and 7 papers in Aerospace Engineering. Recurrent topics in L. Urso's work include Magnetic confinement fusion research (8 papers), Radioactive contamination and transfer (7 papers) and Particle accelerators and beam dynamics (6 papers). L. Urso is often cited by papers focused on Magnetic confinement fusion research (8 papers), Radioactive contamination and transfer (7 papers) and Particle accelerators and beam dynamics (6 papers). L. Urso collaborates with scholars based in Germany, Japan and Italy. L. Urso's co-authors include H. Zohm, M. Maraschek, A. Isayama, N. Hayashi, R. J. Buttery, R. Prater, R.J. La Haye, E. Poli, Alexander C. Diener and Jan Christian Kaiser and has published in prestigious journals such as The Science of The Total Environment, Environmental Modelling & Software and Risk Analysis.

In The Last Decade

L. Urso

20 papers receiving 364 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
L. Urso Germany 9 310 168 134 81 78 21 396
M.G. Burke United States 10 159 0.5× 77 0.5× 63 0.5× 46 0.6× 52 0.7× 24 280
V. Togo Italy 14 182 0.6× 88 0.5× 52 0.4× 9 0.1× 35 0.4× 36 416
Ron Wurtz United States 11 140 0.5× 65 0.4× 146 1.1× 18 0.2× 36 0.5× 30 350
Tatsuya Sawano Japan 14 222 0.7× 20 0.1× 189 1.4× 26 0.3× 20 0.3× 57 480
В.В. Дроздов Russia 11 301 1.0× 42 0.3× 153 1.1× 118 1.5× 116 1.5× 28 347
T.E. Valentine United States 10 96 0.3× 206 1.2× 33 0.2× 5 0.1× 64 0.8× 45 331
L. C. Stonehill United States 12 167 0.5× 28 0.2× 40 0.3× 10 0.1× 41 0.5× 28 456
Xingqiu Yuan United States 10 205 0.7× 54 0.3× 132 1.0× 36 0.4× 82 1.1× 24 273
D. Rapagnani Italy 9 82 0.3× 53 0.3× 26 0.2× 6 0.1× 18 0.2× 29 188
G. Bonheure Italy 9 156 0.5× 95 0.6× 11 0.1× 15 0.2× 54 0.7× 32 272

Countries citing papers authored by L. Urso

Since Specialization
Citations

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

Fields of papers citing papers by L. Urso

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of L. Urso

This figure shows the co-authorship network connecting the top 25 collaborators of L. Urso. A scholar is included among the top collaborators of L. Urso 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 L. Urso. L. Urso 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.
Urso, L., et al.. (2023). Assessing the exposure situations with naturally occurring radioactive materials across European countries by means of the e-NORM survey. The Science of The Total Environment. 905. 167065–167065. 6 indexed citations
2.
Urso, L., et al.. (2023). Use of random forest algorithm for predictive modelling of transfer factor soil-plant for radiocaesium: A feasibility study. Journal of Environmental Radioactivity. 270. 107309–107309. 6 indexed citations
3.
Venoso, G., C. Nuccetelli, Raffaella Ugolini, et al.. (2023). Development of a methodology for assessing radiological dose due to use of NORM sludge as fertilizer. The Science of The Total Environment. 912. 168934–168934. 3 indexed citations
4.
Urso, L., et al.. (2021). Quantification of Conceptual Model Uncertainty in the Modeling of Wet Deposited Atmospheric Pollutants. Risk Analysis. 42(4). 757–769. 3 indexed citations
5.
Urso, L., et al.. (2019). Modelling partition coefficients of radium in soils. Applied Geochemistry. 105. 78–86. 10 indexed citations
6.
Diener, Alexander C., Philipp Hartmann, L. Urso, et al.. (2017). Approaches to modelling radioactive contaminations in forests – Overview and guidance. Journal of Environmental Radioactivity. 178-179. 203–211. 20 indexed citations
7.
8.
Urso, L., et al.. (2013). Modeling of the fate of radionuclides in urban sewer systems after contamination due to nuclear or radiological incidents. Journal of Environmental Radioactivity. 118. 121–127. 4 indexed citations
9.
Urso, L., et al.. (2012). Improving evaluation criteria for monitoring networks of weak radioactive plumes after nuclear emergencies. Environmental Modelling & Software. 38. 108–116. 10 indexed citations
10.
Woda, Clemens, Jan Christian Kaiser, L. Urso, & Matthias Greiter. (2012). An environmental BeO-OSL dosimeter for emergency response. Radiation Measurements. 47(8). 609–613. 8 indexed citations
11.
Urso, L., Poul Astrup, Torben Mikkelsen, et al.. (2011). Planning sensor locations for the detection of radioactive plumes for Norway and the Balkans. Radioprotection. 46(6). S55–S61. 4 indexed citations
12.
Thiessen, Kathleen M., Kasper Grann Andersson, G. de With, et al.. (2011). Assessing emergency situations and their aftermath in urban areas: The EMRAS II Urban Areas Working Group. Radioprotection. 46(6). S601–S607. 2 indexed citations
13.
Urso, L., H. Zohm, A. Isayama, M. Maraschek, & E. Poli. (2010). ASDEX Upgrade—JT-60U comparison and ECRH power requirements for NTM stabilization in ITER. Nuclear Fusion. 50(2). 25010–25010. 31 indexed citations
14.
Urso, L., et al.. (2010). Application of the Bayesian analysis to the modified Rutherford equation for NTM stabilization. Plasma Physics and Controlled Fusion. 52(5). 55012–55012. 5 indexed citations
15.
Ozeki, T., Y. Suzuki, Shinya Sakata, et al.. (2009). Development and Demonstration of Remote Experiment System with High Security in JT-60U. Max Planck Institute for Plasma Physics. 3 indexed citations
16.
Isayama, A., G. Matsunaga, Takayuki Kobayashi, et al.. (2009). Neoclassical tearing mode control using electron cyclotron current drive and magnetic island evolution in JT-60U. Nuclear Fusion. 49(5). 55006–55006. 74 indexed citations
17.
Esposito, B., G. Granucci, S. Nowak, et al.. (2009). Disruption control on FTU and ASDEX upgrade with ECRH. Nuclear Fusion. 49(6). 65014–65014. 26 indexed citations
18.
Granucci, G., B. Esposito, M. Maraschek, et al.. (2009). ECRH: A Tool To Control Disruptions In Tokamaks. AIP conference proceedings. 507–514.
19.
Zohm, H., G. Gantenbein, F. Leuterer, et al.. (2007). Control of NTMs by ECCD on ASDEX Upgrade in view of ITER application. Plasma Physics and Controlled Fusion. 49(12B). B341–B347. 26 indexed citations
20.
Haye, R.J. La, R. Prater, R. J. Buttery, et al.. (2006). Cross–machine benchmarking for ITER of neoclassical tearing mode stabilization by electron cyclotron current drive. Nuclear Fusion. 46(4). 451–461. 142 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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