L. P. Alonzi

1.6k total citations
4 papers, 29 citations indexed

About

L. P. Alonzi is a scholar working on Surgery, Artificial Intelligence and Transplantation. According to data from OpenAlex, L. P. Alonzi has authored 4 papers receiving a total of 29 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Surgery, 2 papers in Artificial Intelligence and 2 papers in Transplantation. Recurrent topics in L. P. Alonzi's work include Renal Transplantation Outcomes and Treatments (2 papers), Transplantation: Methods and Outcomes (2 papers) and Organ Transplantation Techniques and Outcomes (1 paper). L. P. Alonzi is often cited by papers focused on Renal Transplantation Outcomes and Treatments (2 papers), Transplantation: Methods and Outcomes (2 papers) and Organ Transplantation Techniques and Outcomes (1 paper). L. P. Alonzi collaborates with scholars based in United States. L. P. Alonzi's co-authors include Jake Grigsby, J. R. Hoskins, Simonetta Liuti, Matthias Burkardt, Stephen Adams, Peter A. Beling, Michael A. McCulloch, Michael D. Porter and Yingzheng Liu and has published in prestigious journals such as Physical review. D and Pediatric Transplantation.

In The Last Decade

L. P. Alonzi

4 papers receiving 27 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. P. Alonzi United States 3 14 10 7 5 4 4 29
R. Nachtigall Germany 3 11 0.8× 7 0.7× 3 0.6× 3 21
Jan Michal Dubinski Poland 3 8 0.6× 6 0.6× 2 0.4× 3 15
K. Yi China 2 5 0.4× 8 0.8× 4 0.8× 2 21
P. Melas United Kingdom 3 7 0.5× 9 0.9× 5 1.0× 3 18
L. S. Barnby United Kingdom 3 6 0.4× 15 1.5× 3 0.6× 8 25
Ho Fung Tsoi United States 3 9 0.6× 7 0.7× 3 17
S. Geißelsöder Germany 3 6 0.4× 5 0.5× 2 0.4× 3 16
Nathalie Soybelman Israel 3 8 0.6× 16 1.6× 6 23
Jan Stark France 2 7 0.5× 9 0.9× 2 13
Arsen Hayrapetyan Armenia 2 4 0.3× 4 0.4× 5 1.0× 2 13

Countries citing papers authored by L. P. Alonzi

Since Specialization
Citations

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

Fields of papers citing papers by L. P. Alonzi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of L. P. Alonzi

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

All Works

4 of 4 papers shown
1.
McCulloch, Michael A., et al.. (2023). Pediatric donor heart acceptance practices in the United States: What is really being considered?. Pediatric Transplantation. 28(1). e14649–e14649. 3 indexed citations
2.
Grigsby, Jake, et al.. (2021). Deep learning analysis of deeply virtual exclusive photoproduction. Physical review. D. 104(1). 11 indexed citations
3.
Liu, Yingzheng, et al.. (2021). Determining Factors of Heart Quality and Donor Acceptance in Pediatric Heart Transplants. 119. 1–6. 1 indexed citations
4.
Adams, Stephen, et al.. (2018). Detecting fraud in adversarial environments: A reinforcement learning approach. 118–122. 14 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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