Anirudh Prabhu

1.2k total citations
49 papers, 653 citations indexed

About

Anirudh Prabhu is a scholar working on Artificial Intelligence, Paleontology and Astronomy and Astrophysics. According to data from OpenAlex, Anirudh Prabhu has authored 49 papers receiving a total of 653 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 8 papers in Paleontology and 8 papers in Astronomy and Astrophysics. Recurrent topics in Anirudh Prabhu's work include Geochemistry and Geologic Mapping (20 papers), Geological and Geochemical Analysis (6 papers) and Paleontology and Stratigraphy of Fossils (6 papers). Anirudh Prabhu is often cited by papers focused on Geochemistry and Geologic Mapping (20 papers), Geological and Geochemical Analysis (6 papers) and Paleontology and Stratigraphy of Fossils (6 papers). Anirudh Prabhu collaborates with scholars based in United States, Russia and Australia. Anirudh Prabhu's co-authors include Robert M. Hazen, Peter Fox, Shaunna M. Morrison, Ahmed Eleish, Michael Meyer, Michael L. Wong, Andrew H. Knoll, Hao Zhong, A.D. Muscente and Jolyon Ralph and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Anirudh Prabhu

46 papers receiving 631 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anirudh Prabhu United States 13 198 195 171 104 100 49 653
Ahmed Eleish United States 12 184 0.9× 164 0.8× 143 0.8× 36 0.3× 98 1.0× 30 504
Akizumi Ishida Japan 13 235 1.2× 66 0.3× 221 1.3× 152 1.5× 143 1.4× 35 709
David Flannery Australia 14 316 1.6× 48 0.2× 176 1.0× 157 1.5× 132 1.3× 45 642
Fang Huang China 16 133 0.7× 150 0.8× 531 3.1× 71 0.7× 118 1.2× 58 940
Tim Lutz United States 16 89 0.4× 212 1.1× 532 3.1× 46 0.4× 68 0.7× 40 896
Matthew S. Dodd China 12 348 1.8× 29 0.1× 153 0.9× 204 2.0× 186 1.9× 23 723
Jesús Solé Mexico 20 106 0.5× 396 2.0× 782 4.6× 27 0.3× 107 1.1× 74 1.1k
Andreas Scharf Germany 23 269 1.4× 128 0.7× 918 5.4× 55 0.5× 46 0.5× 126 1.8k
Julien Alléon France 14 264 1.3× 28 0.1× 165 1.0× 87 0.8× 88 0.9× 18 470
Tor Grenne Norway 18 527 2.7× 262 1.3× 669 3.9× 182 1.8× 485 4.8× 34 1.3k

Countries citing papers authored by Anirudh Prabhu

Since Specialization
Citations

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

Fields of papers citing papers by Anirudh Prabhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anirudh Prabhu

This figure shows the co-authorship network connecting the top 25 collaborators of Anirudh Prabhu. A scholar is included among the top collaborators of Anirudh Prabhu 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 Anirudh Prabhu. Anirudh Prabhu 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.
Wong, Michael L., Stuart Bartlett, Carol E. Cleland, et al.. (2025). Selective funnelling and state-space expansion: a conceptual framework for novelty generation and origin events. Interface Focus. 15(6). 1 indexed citations
2.
Wong, Michael L., Anirudh Prabhu, Jason Williams, Shaunna M. Morrison, & Robert M. Hazen. (2023). Toward Network‐Based Planetary Biosignatures: Atmospheric Chemistry as Unipartite, Unweighted, Undirected Networks. Journal of Geophysical Research Planets. 128(6). 11 indexed citations
3.
Eleish, Ahmed, et al.. (2023). The Evolution of Mineral Hardness Reveals Both Changing Parageneses and Preservational Bias in the Mineralogical Record. Minerals. 13(8). 1089–1089. 6 indexed citations
4.
Wong, Michael L., Carol E. Cleland, Stuart Bartlett, et al.. (2023). On the roles of function and selection in evolving systems. Proceedings of the National Academy of Sciences. 120(43). e2310223120–e2310223120. 57 indexed citations
5.
Prabhu, Anirudh, Shaunna M. Morrison, Peter Fox, et al.. (2023). What is mineral informatics?. American Mineralogist. 108(7). 1242–1257. 10 indexed citations
6.
Hazen, Robert M., et al.. (2023). On the Attributes of Mineral Paragenetic Modes. 61(4). 653–673. 10 indexed citations
7.
Hazen, Robert M., Shaunna M. Morrison, Shaunna M. Morrison, et al.. (2021). ON THE PARAGENETIC MODES OF MINERALS: A MINERAL EVOLUTION PERSPECTIVE. Abstracts with programs - Geological Society of America.
8.
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
9.
Allen, Gerald R., Franklin W. Schwartz, David R. Cole, et al.. (2020). Algal blooms in a freshwater reservoir – A network community detection analysis of potential forcing parameters. Ecological Informatics. 60. 101168–101168. 1 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.
Giovannelli, Donato, Joseph Buongiorno, Anirudh Prabhu, et al.. (2019). Tracking the evolution of our planet using large scale geochemistry and metagenomic data. AGUFM. 2019. 1 indexed citations
13.
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
14.
Boujibar, Asmaa, Steve B. Howell, Anirudh Prabhu, et al.. (2019). Natural kind clustering of presolar silicon carbides and its astrophysical implications. AGU Fall Meeting Abstracts. 2019. 1 indexed citations
15.
Hazen, Robert M., Shaunna M. Morrison, Asmaa Boujibar, et al.. (2019). Data-driven discovery in mineralogy: Insights from natural kind clustering. AGU Fall Meeting Abstracts. 2019. 1 indexed citations
16.
Morrison, Shaunna M., et al.. (2019). Natural clustering of pyrite with implications for its formational environment. AGUFM. 2019. 4 indexed citations
17.
Moore, Eli K., Jihua Hao, Anirudh Prabhu, et al.. (2018). Geological and Chemical Factors that Impacted the Biological Utilization of Cobalt in the Archean Eon. Journal of Geophysical Research Biogeosciences. 123(3). 743–759. 29 indexed citations
18.
Prabhu, Anirudh, Hao Zhong, Ahmed Eleish, et al.. (2018). QUANTIFYING ECOLOGICAL IMPACTS OF MASS EXTINCTIONS WITH NETWORK ANALYSIS OF FOSSIL COMMUNITIES. Abstracts with programs - Geological Society of America. 1 indexed citations
19.
Prabhu, Anirudh, Peter Fox, Hao Zhong, et al.. (2017). Visualizing Complex Environments in the Geo- and BioSciences. AGU Fall Meeting Abstracts. 2017. 1 indexed citations
20.
Prabhu, Anirudh, et al.. (2015). Predictive analysis of customer perspective on insurance policies and market trend analysis based on datamining and learned algorithm. International Journal of Applied Engineering Research. 10. 5 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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