Francis C. Monastero

49 total papers · 716 total citations
23 papers, 463 citations indexed

About

Francis C. Monastero is a scholar working on Geophysics, Artificial Intelligence and Atmospheric Science. According to data from OpenAlex, Francis C. Monastero has authored 23 papers receiving a total of 463 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Geophysics, 6 papers in Artificial Intelligence and 6 papers in Atmospheric Science. Recurrent topics in Francis C. Monastero's work include earthquake and tectonic studies (17 papers), Geological and Geochemical Analysis (13 papers) and High-pressure geophysics and materials (8 papers). Francis C. Monastero is often cited by papers focused on earthquake and tectonic studies (17 papers), Geological and Geochemical Analysis (13 papers) and High-pressure geophysics and materials (8 papers). Francis C. Monastero collaborates with scholars based in United States and United Kingdom. Francis C. Monastero's co-authors include Bruce R. Julian, G. R. Foulger, S. McClusky, Brendan J. Meade, R. W. King, B. J. Souter, J. Douglas Walker, M. Meghan Miller, Bradford H. Hager and Jeffrey R. Unruh and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Earth and Planetary Science Letters and Geophysical Research Letters.

In The Last Decade

Francis C. Monastero

22 papers receiving 421 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Francis C. Monastero	428	77	59	29	28	23	463
Kristján Ágústsson	408 1.0×	72 0.9×	69 1.2×	34 1.2×	34 1.2×	35	481
L. M. Hastie	473 1.1×	47 0.6×	55 0.9×	40 1.4×	67 2.4×	17	527
Elías Rafn Heimisson	392 0.9×	27 0.4×	50 0.8×	73 2.5×	29 1.0×	26	471
Shigekazu Kusumoto	396 0.9×	85 1.1×	35 0.6×	81 2.8×	24 0.9×	38	489
Stéphanie Gautier	386 0.9×	36 0.5×	35 0.6×	47 1.6×	42 1.5×	29	491
Sadato Ueki	415 1.0×	41 0.5×	63 1.1×	10 0.3×	34 1.2×	24	446
Laura Spina	392 0.9×	78 1.0×	112 1.9×	10 0.3×	15 0.5×	27	495
Thomas G. Hildenbrand	383 0.9×	36 0.5×	47 0.8×	23 0.8×	24 0.9×	30	429
Kathakali Bhattacharyya	458 1.1×	38 0.5×	26 0.4×	52 1.8×	22 0.8×	24	516
G. Zito	421 1.0×	62 0.8×	23 0.4×	44 1.5×	17 0.6×	23	488

Countries citing papers authored by Francis C. Monastero

Since Specialization

Citations

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

Fields of papers citing papers by Francis C. Monastero

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francis C. Monastero

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

All Works

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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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