G. Ivan Maldonado

884 citations
87 papers · 599 indexed · h-index 13
Topics
Nuclear reactor physics and engineering (74 papers)Nuclear Materials and Properties (49 papers)Nuclear Physics and Applications (26 papers)

In The Last Decade

G. Ivan Maldonado

83 papers receiving 561 citations

Peers

G. Ivan Maldonado
Comparison fields: 5 of 59
  • Aerospace Engineering 458
  • Materials Chemistry 456
  • Radiation 112
  • Mechanical Engineering 74
  • Safety, Risk, Reliability and Quality 65
Replace Benjamin R. Betzler with:
Benjamin R. Betzler United States
Pavel V. Tsvetkov United States
A. Alemberti Italy
G.I. Toshinsky Russia
D. M. Perez United States
J.J. Sienicki United States
Yuliang Sun China
Jing Song China
Javier Ortensi United States
P. Rubiolo France
G. Ivan Maldonado relative to Benjamin R. Betzler United States Benjamin R. Betzler's profile →
Citations per field
00.5×4.6×
Benjamin R. Betzler · 1×
Citations per year

Countries citing papers authored by G. Ivan Maldonado

Since Specialization
Citations

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

Fields of papers citing papers by G. Ivan Maldonado

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G. Ivan Maldonado. 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 G. Ivan Maldonado. The network helps show where G. Ivan Maldonado may publish in the future.

Co-authorship network of co-authors of G. Ivan Maldonado

This figure shows the co-authorship network connecting the top 25 collaborators of G. Ivan Maldonado. A scholar is included among the top collaborators of G. Ivan Maldonado 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 G. Ivan Maldonado. G. Ivan Maldonado 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
#WorkIndexed citations
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10
A Case Study in the Application of TSUNAMI-3D Part 2, Continuous Energy
1
11 3
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13 7
14 3
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Analysis of BWR lattices to recycle americium
5
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Subcritical Reactor Experiments At the University of Cincinnati
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Adaptive neural network error control for generalized perturbation theory
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Artificial neural network prediction of PWR critical boron concentration
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About G. Ivan Maldonado

G. Ivan Maldonado is a scholar working on Radiation, Aerospace Engineering and Safety, Risk, Reliability and Quality, having authored 87 papers that have together received 599 indexed citations. Recurring topics across this work include Nuclear reactor physics and engineering (74 papers), Nuclear Materials and Properties (49 papers) and Nuclear Physics and Applications (26 papers). The work is most often cited by research in Aerospace Engineering (458 citations), Radiation (112 citations) and Materials Chemistry (456 citations). G. Ivan Maldonado has collaborated with scholars based in United States, Czechia and Colombia. Frequent co-authors include Kurt A. Terrani, Jeffrey J. Powers, Andrew Worrall, O. Chvála, Paul J. Turinsky, Stephen A. Batzer, David Chandler, C.W. Alexander, Ryan Sweet and Brian D. Wirth. Their work appears in journals such as PLoS ONE, Journal of Materials Processing Technology and Lara D. Veeken.

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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