John C. Lattanzio

7.1k total citations · 1 hit paper
134 papers, 4.0k citations indexed

About

John C. Lattanzio is a scholar working on Astronomy and Astrophysics, Instrumentation and Nuclear and High Energy Physics. According to data from OpenAlex, John C. Lattanzio has authored 134 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 128 papers in Astronomy and Astrophysics, 52 papers in Instrumentation and 23 papers in Nuclear and High Energy Physics. Recurrent topics in John C. Lattanzio's work include Stellar, planetary, and galactic studies (112 papers), Astrophysics and Star Formation Studies (66 papers) and Astro and Planetary Science (57 papers). John C. Lattanzio is often cited by papers focused on Stellar, planetary, and galactic studies (112 papers), Astrophysics and Star Formation Studies (66 papers) and Astro and Planetary Science (57 papers). John C. Lattanzio collaborates with scholars based in Australia, United States and Germany. John C. Lattanzio's co-authors include J. J. Monaghan, Amanda I. Karakas, C. L. Doherty, L. Siess, S. W. Campbell, Pilar Gil-Pons, Herbert H. B. Lau, Maria Lugaro, David S. P. Dearborn and P. P. Eggleton and has published in prestigious journals such as Nature, Science and The Astrophysical Journal.

In The Last Decade

John C. Lattanzio

122 papers receiving 3.9k citations

Hit Papers

A refined particle method for astrophysical problems 1985 2026 1998 2012 1985 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A refined particle method for astrophysical problems
    1985 551 citations J. J. Monaghan, John C. Lattanzio profile →

Peers

John C. Lattanzio
D. L. Welch Canada
Daniel J. Price Australia
R. F. Stellingwerf United States
A. P. Hatzes Germany
P. Gorenstein United States
Danail Obreschkow Australia
A. Claret Spain
Shu‐ichiro Inutsuka Japan
Karl Stapelfeldt United States
John T. Trauger United States
D. L. Welch Canada
John C. Lattanzio
Citations per year, relative to John C. Lattanzio John C. Lattanzio (= 1×) peers D. L. Welch

Countries citing papers authored by John C. Lattanzio

Since Specialization
Citations

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

Fields of papers citing papers by John C. Lattanzio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John C. Lattanzio. 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 John C. Lattanzio. The network helps show where John C. Lattanzio may publish in the future.

Co-authorship network of co-authors of John C. Lattanzio

This figure shows the co-authorship network connecting the top 25 collaborators of John C. Lattanzio. A scholar is included among the top collaborators of John C. Lattanzio 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 John C. Lattanzio. John C. Lattanzio 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.
Gil-Pons, Pilar, et al.. (2020). Nucleosynthetic yields of Z=1e-5 intermediate-mass stars. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 8 indexed citations
2.
Casey, Andrew R., John C. Lattanzio, Aldeida Aleti, et al.. (2019). A Data-driven Model of Nucleosynthesis with Chemical Tagging in a Lower-dimensional Latent Space. The Astrophysical Journal. 887(1). 73–73. 9 indexed citations
3.
Lattanzio, John C.. (2018). AGB Stars: Remaining Problems. Proceedings of the International Astronomical Union. 14(S343). 3–8. 1 indexed citations
4.
Zafar, Tayyaba, P. Møller, D. Watson, et al.. (2018). X-shooting GRBs at high redshift: probing dust production history*. Monthly Notices of the Royal Astronomical Society. 480(1). 108–118. 11 indexed citations
5.
Campbell, S. W., V. D’Orazi, L. Casagrande, et al.. (2017). NGC 6752 AGB stars revisited. Astronomy and Astrophysics. 605. A98–A98. 10 indexed citations
6.
Doherty, C. L., et al.. (2017). Partial mixing and the formation of 13C pockets in AGB stars: effects on the s-process elements. Monthly Notices of the Royal Astronomical Society. 471(1). 824–838. 18 indexed citations
7.
D’Orazi, V., R. Gratton, George C. Angelou, et al.. (2015). Lithium abundances in globular cluster giants: NGC 1904, NGC 2808, and NGC 362★. Monthly Notices of the Royal Astronomical Society. 449(4). 4038–4047. 32 indexed citations
8.
Fenner, Yeshe, S. W. Campbell, Amanda I. Karakas, John C. Lattanzio, & B. K. Gibson. (2013). Modelling self-pollution of globular clusters from asymptotic giant branch stars. Saint Mary's University Institutional Repository (Saint Mary's University). 31 indexed citations
9.
Campbell, S. W., V. D’Orazi, David Yong, et al.. (2013). Sodium content as a predictor of the advanced evolution of globular cluster stars. Nature. 498(7453). 198–200. 53 indexed citations
10.
Gibson, B. K., et al.. (2009). O and Na abundance patterns in open clusters of the Galactic disk. Springer Link (Chiba Institute of Technology). 47 indexed citations
11.
Izzard, R. G., C. S. Jeffery, & John C. Lattanzio. (2007). Origin of the early-type R stars: a binary-merger solution to a century-old problem?. Springer Link (Chiba Institute of Technology). 30 indexed citations
12.
Lugaro, Maria, Amanda I. Karakas, L. R. Nittler, et al.. (2006). On the asymptotic giant branch star origin of peculiar spinel grain OC2. Springer Link (Chiba Institute of Technology). 21 indexed citations
13.
Doherty, C. L. & John C. Lattanzio. (2006). Evolution and nucleosynthesis in super-AGB stars.. MmSAI. 77. 828. 2 indexed citations
14.
Campbell, S. W., et al.. (2006). Are there radical cyanogen abundance differences between galactic globular cluster RGB and AGB stars?. Possibly a Vital Clue to the Globular Cluster Abundance Anomaly Problem. MmSAI. 77. 864. 3 indexed citations
15.
Karakas, Amanda I. & John C. Lattanzio. (2003). AGB Stars and the Observed Abundance of Neon in Planetary Nebulae. Publications of the Astronomical Society of Australia. 20(4). 393–400. 34 indexed citations
16.
Lattanzio, John C. & Amanda I. Karakas. (2001). Evolution and nucleosynthesis of AGB stars: current issues. MmSAI. 72. 255–264. 1 indexed citations
17.
Lattanzio, John C., M. Forestini, & C. Charbonnel. (2000). Nucleosynthesis in intermediate mass AGB stars.. CERN Bulletin. 71. 737–744. 2 indexed citations
18.
Lattanzio, John C., et al.. (1996). Hot bottom burning in intermediate mass stars. Memorie della Societa Astronomica Italiana. 67. 729. 3 indexed citations
19.
Lattanzio, John C., J. Richard Bond, & J. J. Monaghan. (1989). Simulating Gas and Dark Matter in the Universe. Bulletin of the American Astronomical Society. 21. 1216.
20.
Lattanzio, John C.. (1986). The Formation of a Low Luminosity Carbon Star of 1.5M. Bulletin of the American Astronomical Society. 18. 963. 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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