Jolyon Ralph

640 total citations
25 papers, 415 citations indexed

About

Jolyon Ralph is a scholar working on Artificial Intelligence, Geochemistry and Petrology and Geophysics. According to data from OpenAlex, Jolyon Ralph has authored 25 papers receiving a total of 415 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 6 papers in Geochemistry and Petrology and 5 papers in Geophysics. Recurrent topics in Jolyon Ralph's work include Geochemistry and Geologic Mapping (22 papers), Geological and Geochemical Analysis (5 papers) and Mineral Processing and Grinding (5 papers). Jolyon Ralph is often cited by papers focused on Geochemistry and Geologic Mapping (22 papers), Geological and Geochemical Analysis (5 papers) and Mineral Processing and Grinding (5 papers). Jolyon Ralph collaborates with scholars based in United States, Russia and Australia. Jolyon Ralph's co-authors include Robert M. Hazen, Robert T. Downs, Shaunna M. Morrison, Joshua J. Golden, Daniel R. Hummer, Grethe Hystad, Ahmed Eleish, Peter Fox, Anirudh Prabhu and Edward S. Grew and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and American Mineralogist.

In The Last Decade

Jolyon Ralph

23 papers receiving 391 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jolyon Ralph United States	11	210	142	107	63	59	25	415
Joshua J. Golden United States	16	314 1.5×	280 2.0×	171 1.6×	113 1.8×	115 1.9×	29	701
Simone E. Runyon United States	10	111 0.5×	138 1.0×	44 0.4×	29 0.5×	19 0.3×	17	246
Craig M. Schiffries United States	9	231 1.1×	404 2.8×	85 0.8×	48 0.8×	15 0.3×	13	537
Ernesto Bjerg Argentina	19	306 1.5×	655 4.6×	84 0.8×	40 0.6×	10 0.2×	60	799
Blandine Gourcerol France	11	211 1.0×	258 1.8×	174 1.6×	50 0.8×	65 1.1×	21	471
N. N. MEL'NIKOV Russia	13	91 0.4×	269 1.9×	102 1.0×	155 2.5×	49 0.8×	56	553
R. K. W. Merkle South Africa	14	383 1.8×	528 3.7×	172 1.6×	27 0.4×	28 0.5×	50	713
Sumit Kumar Ray India	18	122 0.6×	336 2.4×	29 0.3×	9 0.1×	81 1.4×	59	944
Kai Lu China	12	51 0.2×	176 1.2×	44 0.4×	76 1.2×	7 0.1×	26	436

Countries citing papers authored by Jolyon Ralph

Since Specialization

Citations

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

Fields of papers citing papers by Jolyon Ralph

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jolyon Ralph

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

All Works

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20 of 20 papers shown

Chen, Weilin, et al.. (2025). The OpenMindat v1.0.0 R package: a machine interface to Mindat open data to facilitate data-intensive geoscience discoveries. Geoscientific model development. 18(14). 4455–4467.

Ralph, Jolyon, et al.. (2024). Using adjacency matrix to explore remarkable associations in big and small mineral data. Geoscience Frontiers. 15(5). 101823–101823. 7 indexed citations

Ralph, Jolyon, Xiaogang Ma, Wenjia Li, et al.. (2024). Identifier Service in the Mindat Database: Persistent and Structured Access to Massive Records of Minerals and Other Natural Materials. Data Intelligence. 2 indexed citations

Hazen, Robert M., et al.. (2024). Using a 3D heat map to explore the diverse correlations among elements and mineral species. SHILAP Revista de lepidopterología. 21. 100154–100154. 4 indexed citations

Prabhu, Anirudh, Shaunna M. Morrison, Peter Fox, et al.. (2023). What is mineral informatics?. American Mineralogist. 108(7). 1242–1257. 10 indexed citations

Morrison, Shaunna M., Anirudh Prabhu, Ahmed Eleish, et al.. (2023). Predicting new mineral occurrences and planetary analog environments via mineral association analysis. PNAS Nexus. 2(5). pgad110–pgad110. 9 indexed citations

Ma, Xiaogang, Jolyon Ralph, Anirudh Prabhu, et al.. (2023). OpenMindat: Open and FAIR mineralogy data from the Mindat database. Geoscience Data Journal. 11(1). 94–104. 14 indexed citations

Hummer, Daniel R., Joshua J. Golden, Grethe Hystad, et al.. (2022). Evidence for the oxidation of Earth’s crust from the evolution of manganese minerals. Nature Communications. 13(1). 960–960. 30 indexed citations

Prabhu, Anirudh, Shaunna M. Morrison, Ahmed Eleish, et al.. (2020). Global earth mineral inventory: A data legacy. SHILAP Revista de lepidopterología. 8(1). 74–89. 19 indexed citations

10.

Morrison, Shaunna M., Anirudh Prabhu, Ahmed Eleish, et al.. (2020). Mineral Affinity Analysis: Predicting Unknown Mineral Occurrences with Machine Learning. Goldschmidt Abstracts. 1853–1853. 2 indexed citations

11.

Morrison, Shaunna M., Ahmed Eleish, Anirudh Prabhu, et al.. (2019). Exploring carbon mineralogy and mineral evolution through deep time with advanced analytics and visualization. AGU Fall Meeting Abstracts. 2019. 1 indexed citations

12.

Prabhu, Anirudh, Shaunna M. Morrison, Ahmed Eleish, et al.. (2019). Creating, Managing and Evaluating Data Legacies : Updates on the Global Earth Mineral Inventory.. AGU Fall Meeting Abstracts. 2019. 1 indexed citations

13.

Golden, Joshua J., et al.. (2019). MINERAL EVOLUTION DATABASE: DATA-DRIVEN AGE ASSIGNMENT, HOW DOES A MINERAL GET AN AGE?. Abstracts with programs - Geological Society of America. 9 indexed citations

14.

Hazen, Robert M., Robert T. Downs, Ahmed Eleish, et al.. (2019). Data-Driven Discovery in Mineralogy: Recent Advances in Data Resources, Analysis, and Visualization. Engineering. 5(3). 397–405. 53 indexed citations

15.

Hummer, Daniel R., Joshua J. Golden, Grethe Hystad, et al.. (2017). Timing the oxidation of Earth's crust: Evidence from big data records of manganese mineralization. AGU Fall Meeting Abstracts. 2017. 1 indexed citations

16.

Liu, Chao, Grethe Hystad, Joshua J. Golden, et al.. (2017). Chromium mineral ecology. American Mineralogist. 102(3). 612–619. 28 indexed citations

17.

Hazen, Robert M., Grethe Hystad, Joshua J. Golden, et al.. (2017). Cobalt mineral ecology. American Mineralogist. 102(1). 108–116. 45 indexed citations

18.

Golden, Joshua J., et al.. (2016). BUILDING THE MINERAL EVOLUTION DATABASE: IMPLICATIONS FOR FUTURE BIG DATA ANALYSIS. Abstracts with programs - Geological Society of America. 7 indexed citations

19.

Ralph, Jolyon. (2014). Introducing minID: The New Central Mineral Registration System. Rocks & Minerals. 89(4). 364–369. 1 indexed citations

20.

Ralph, Jolyon, et al.. (2013). Introducing Gemdat.org. Rocks & Minerals. 88(3). 236–243. 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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