Jeremy A. Miller

5.0k total citations
66 papers, 1.7k citations indexed

About

Jeremy A. Miller is a scholar working on Genetics, Ecology, Evolution, Behavior and Systematics and Ecological Modeling. According to data from OpenAlex, Jeremy A. Miller has authored 66 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Genetics, 27 papers in Ecology, Evolution, Behavior and Systematics and 17 papers in Ecological Modeling. Recurrent topics in Jeremy A. Miller's work include Spider Taxonomy and Behavior Studies (37 papers), Lepidoptera: Biology and Taxonomy (25 papers) and Species Distribution and Climate Change (17 papers). Jeremy A. Miller is often cited by papers focused on Spider Taxonomy and Behavior Studies (37 papers), Lepidoptera: Biology and Taxonomy (25 papers) and Species Distribution and Climate Change (17 papers). Jeremy A. Miller collaborates with scholars based in Netherlands, United States and China. Jeremy A. Miller's co-authors include Gustavo Hormiga, Ingi Agnarsson, Jonathan A. Coddington, Michael Hawrylycz, Abraham Z. Snyder, Manu S. Goyal, Marcus E. Raichle, Matjaž Kuntner, Frederick A. Coyle and Charles E. Griswold and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Cell Metabolism.

In The Last Decade

Jeremy A. Miller

64 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jeremy A. Miller Netherlands 19 798 604 379 311 292 66 1.7k
Alejandro Espinosa de los Monteros Mexico 22 338 0.4× 408 0.7× 323 0.9× 276 0.9× 282 1.0× 71 1.4k
Jürgen Tomiuk Germany 24 528 0.7× 567 0.9× 434 1.1× 70 0.2× 391 1.3× 95 1.8k
Wayne A. Van Voorhies United States 21 384 0.5× 439 0.7× 319 0.8× 70 0.2× 543 1.9× 30 1.7k
Chen Hou United States 23 345 0.4× 338 0.6× 331 0.9× 54 0.2× 585 2.0× 59 1.6k
Jean‐François Julien France 27 200 0.3× 728 1.2× 528 1.4× 221 0.7× 700 2.4× 45 2.3k
Tami M. Panhuis United States 11 805 1.0× 831 1.4× 441 1.2× 27 0.1× 271 0.9× 13 1.7k
Rachel Ben‐Shlomo Israel 19 266 0.3× 226 0.4× 354 0.9× 55 0.2× 392 1.3× 56 1.3k
Eduardo Pineda Mexico 27 182 0.2× 532 0.9× 183 0.5× 630 2.0× 642 2.2× 65 2.4k
Jeff Leips United States 27 720 0.9× 568 0.9× 495 1.3× 78 0.3× 500 1.7× 50 2.9k
Robert J. O’Hara United States 14 311 0.4× 314 0.5× 174 0.5× 154 0.5× 227 0.8× 39 1.1k

Countries citing papers authored by Jeremy A. Miller

Since Specialization
Citations

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

Fields of papers citing papers by Jeremy A. Miller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeremy A. Miller. 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 Jeremy A. Miller. The network helps show where Jeremy A. Miller may publish in the future.

Co-authorship network of co-authors of Jeremy A. Miller

This figure shows the co-authorship network connecting the top 25 collaborators of Jeremy A. Miller. A scholar is included among the top collaborators of Jeremy A. Miller 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 Jeremy A. Miller. Jeremy A. Miller 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.
Miller, Jeremy A., et al.. (2026). The velvet spiders: an atlas of the Eresidae (Arachnida, Araneae). Data Archiving and Networked Services (DANS). 195. 1–144.
2.
Barclay, Maxwell V. L., Michael J. W. Boyle, Arthur Y. C. Chung, et al.. (2023). Resilience of tropical invertebrate community assembly processes to a gradient of land use intensity. Oikos. 2024(2). 1 indexed citations
3.
Miller, Jeremy A., et al.. (2023). Mitigating Privacy and Cybersecurity Risks Affecting Telehealth Remote Patient Monitoring Ecosystems. Computer. 56(9). 50–61. 1 indexed citations
4.
Szűts, Tamás, Krisztián Szabó, Alireza Zamani, et al.. (2023). A Study in Scarlet: Integrative Taxonomy of the Spider Genus Loureedia (Araneae: Eresidae). Diversity. 15(2). 238–238. 1 indexed citations
5.
6.
Miller, Jeremy A., et al.. (2020). Mining data from legacy taxonomic literature and application for sampling spiders of the Teutamus group (Araneae; Liocranidae) in Southeast Asia. Scientific Reports. 10(1). 15787–15787. 3 indexed citations
7.
Egloff, Willi, et al.. (2017). Copyright and the Use of Images as Biodiversity Data. SHILAP Revista de lepidopterología. 3. 9 indexed citations
8.
9.
Miller, Jeremy A., et al.. (2014). Cyberdiversity: Improving the Informatic Value of Diverse Tropical Arthropod Inventories. PLoS ONE. 9(12). e115750–e115750. 11 indexed citations
10.
Goyal, Manu S., Michael Hawrylycz, Jeremy A. Miller, Abraham Z. Snyder, & Marcus E. Raichle. (2014). Aerobic Glycolysis in the Human Brain Is Associated with Development and Neotenous Gene Expression. Cell Metabolism. 19(1). 49–57. 291 indexed citations
11.
Miller, Jeremy A., et al.. (2013). Which specimens from a museum collection will yield DNA barcodes? A time series study of spiders in alcohol. ZooKeys. 365(365). 245–261. 31 indexed citations
12.
Miller, Jeremy A., et al.. (2012). On some spiders from Gargano, Apulia, Italy. Data Archiving and Networked Services (DANS). 6 indexed citations
13.
14.
Coddington, Jonathan A., Ingi Agnarsson, Jeremy A. Miller, Matjaž Kuntner, & Gustavo Hormiga. (2009). Undersampling bias: the null hypothesis for singleton species in tropical arthropod surveys. Journal of Animal Ecology. 78(3). 573–584. 280 indexed citations
15.
Penev, Lyubomir, Terry L. Erwin, F. Christian Thompson, et al.. (2008). ZooKeys, unlocking Earth's incredible biodiversity and building a sustainable bridge into the public domain: From "print-based" to "web-based" taxonomy, systematics, and natural history. UnissResearch (Università degli Studi di Sassari). 1. 1–7. 9 indexed citations
16.
Miller, Jeremy A.. (2007). Synaphridae of Madagascar (Araneae: Araneoidea): A New Family Record for the Afrotropical Region. Data Archiving and Networked Services (DANS). 58(3). 21–48. 9 indexed citations
17.
Miller, Jeremy A.. (2007). REPEATED EVOLUTION OF MALE SACRIFICE BEHAVIOR IN SPIDERS CORRELATED WITH GENITAL MUTILATION. Evolution. 61(6). 1301–1315. 79 indexed citations
18.
Simmons, Mark P., Li‐Bing Zhang, Colleen T. Webb, Aaron Reeves, & Jeremy A. Miller. (2006). The relative performance of Bayesian and parsimony approaches when sampling characters evolving under homogeneous and heterogeneous sets of parameters. Cladistics. 22(2). 171–185. 16 indexed citations
19.
Miller, Jeremy A.. (2005). A REDESCRIPTION OF PORRHOMMA CAVERNICOLA KEYSERLING (ARANEAE, LINYPHIIDAE) WITH NOTES ON APPALACHIAN TROGLOBITES. Journal of Arachnology. 33(2). 426–438. 6 indexed citations
20.
Miller, Jeremy A.. (2003). Assessing Progress in Systematics with Continuous Jackknife Function Analysis. Systematic Biology. 52(1). 55–65. 13 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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