James M. Maley

2.8k total citations
30 papers, 866 citations indexed

About

James M. Maley is a scholar working on Genetics, Ecology and Aerospace Engineering. According to data from OpenAlex, James M. Maley has authored 30 papers receiving a total of 866 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Genetics, 12 papers in Ecology and 9 papers in Aerospace Engineering. Recurrent topics in James M. Maley's work include Genetic diversity and population structure (17 papers), Wildlife Ecology and Conservation (7 papers) and Avian ecology and behavior (4 papers). James M. Maley is often cited by papers focused on Genetic diversity and population structure (17 papers), Wildlife Ecology and Conservation (7 papers) and Avian ecology and behavior (4 papers). James M. Maley collaborates with scholars based in United States, Denmark and Argentina. James M. Maley's co-authors include Robb T. Brumfield, Elizabeth P. Derryberry, John E. McCormack, Graham E. Derryberry, Whitney L. E. Tsai, Guoquan Huang, Kevin Winker, Gary R. Graves, Sarah M. Hird and Patrick Geneva and has published in prestigious journals such as PLoS ONE, Molecular Ecology and Molecular Phylogenetics and Evolution.

In The Last Decade

James M. Maley

30 papers receiving 848 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
James M. Maley United States 17 512 301 209 197 153 30 866
Si‐Min Lin Taiwan 18 283 0.6× 255 0.8× 338 1.6× 207 1.1× 166 1.1× 72 944
Weiwei Zhou China 17 421 0.8× 157 0.5× 224 1.1× 245 1.2× 281 1.8× 61 1.1k
Joshua Laerm United States 16 214 0.4× 474 1.6× 268 1.3× 136 0.7× 117 0.8× 48 893
Peter Houde United States 21 273 0.5× 295 1.0× 277 1.3× 229 1.2× 36 0.2× 36 1.2k
Christopher E. Oufiero United States 17 170 0.3× 360 1.2× 452 2.2× 56 0.3× 137 0.9× 35 910
Lutz Thilo Wasserthal Germany 14 245 0.5× 230 0.8× 388 1.9× 58 0.3× 50 0.3× 24 735
Philip J. Bergmann United States 19 122 0.2× 194 0.6× 318 1.5× 74 0.4× 89 0.6× 40 781
Graham P. Hall Australia 8 191 0.4× 367 1.2× 106 0.5× 42 0.2× 68 0.4× 18 521
Massimiliano Virgilio Belgium 25 214 0.4× 788 2.6× 532 2.5× 382 1.9× 46 0.3× 78 1.9k
Rolf Weinzierl Germany 12 149 0.3× 761 2.5× 262 1.3× 47 0.2× 217 1.4× 16 997

Countries citing papers authored by James M. Maley

Since Specialization
Citations

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

Fields of papers citing papers by James M. Maley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James M. Maley. 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 James M. Maley. The network helps show where James M. Maley may publish in the future.

Co-authorship network of co-authors of James M. Maley

This figure shows the co-authorship network connecting the top 25 collaborators of James M. Maley. A scholar is included among the top collaborators of James M. Maley 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 James M. Maley. James M. Maley 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.
Maley, James M. & Ryan Zurakowski. (2022). Largest Ellipsoid Applications in Decentralized Multi-Agent State Estimation. AIAA SCITECH 2022 Forum. 1 indexed citations
2.
Maley, James M., et al.. (2020). A rapid and cost-effective pipeline for digitization of museum specimens with 3D photogrammetry. PLoS ONE. 15(8). e0236417–e0236417. 40 indexed citations
3.
DeRaad, Devon A., James M. Maley, Whitney L. E. Tsai, & John E. McCormack. (2019). Phenotypic clines across an unstudied hybrid zone in Woodhouse’s Scrub-Jay (Aphelocoma woodhouseii). The Auk. 136(2). 3 indexed citations
4.
Tsai, Whitney L. E., et al.. (2019). More than skin and bones: Comparing extraction methods and alternative sources of DNA from avian museum specimens. Molecular Ecology Resources. 20(5). 1220–1227. 61 indexed citations
5.
DeRaad, Devon A., Whitney L. E. Tsai, Eugenia Zarza, et al.. (2018). Cloudy with a chance of speciation: integrative taxonomy reveals extraordinary divergence within a Mesoamerican cloud forest bird. Biological Journal of the Linnean Society. 126(1). 1–15. 25 indexed citations
6.
Fresconi, Frank, et al.. (2018). Experimental Flight Characterization of a Canard-Controlled, Subsonic Missile. 4 indexed citations
7.
Maley, James M., et al.. (2018). Target Learning, Acquisition, and Tracking on a Guided Projectile. 2 indexed citations
8.
Yang, Yulin, James M. Maley, & Guoquan Huang. (2017). Null-space-based marginalization: Analysis and algorithm. 6749–6755. 25 indexed citations
9.
Maley, James M., Kevin Eckenhoff, & Guoquan Huang. (2017). Generalized Optimal-State-Constraint Extended Kalman Filter (OSC-EKF). 2 indexed citations
10.
Maley, James M.. (2015). Line of Sight Rate Estimation for Guided Projectiles with Strapdown Seekers. AIAA Guidance, Navigation, and Control Conference. 15 indexed citations
11.
Maley, James M., et al.. (2014). Speciation in Western Scrub-Jays, Haldane’s rule, and genetic clines in secondary contact. BMC Evolutionary Biology. 14(1). 135–135. 42 indexed citations
12.
Fresconi, Frank, et al.. (2014). Projectile Roll Dynamics and Control with a Low-Cost Maneuver System. Journal of Spacecraft and Rockets. 51(2). 624–627. 26 indexed citations
13.
Pruett, Christin L., James M. Maley, Kevin G. McCracken, et al.. (2013). Evidence from the Genetics of Landbirds for a Forested Pleistocene Glacial Refugium in the Haida Gwaii Area. Ornithological Applications. 115(4). 725–737. 16 indexed citations
14.
Maley, James M. & Robb T. Brumfield. (2013). Mitochondrial and Next-Generation Sequence Data Used to Infer Phylogenetic Relationships and Species Limits in the Clapper/King Rail Complex. Ornithological Applications. 115(2). 316–329. 20 indexed citations
15.
Maley, James M., et al.. (2013). Characterization of microsatellite loci for a threatened species, the King Rail, Rallus elegans, using a next-generation sequencing protocol. Conservation Genetics Resources. 5(4). 1189–1191. 16 indexed citations
16.
McCormack, John E., James M. Maley, Sarah M. Hird, et al.. (2011). Next-generation sequencing reveals phylogeographic structure and a species tree for recent bird divergences. Molecular Phylogenetics and Evolution. 62(1). 397–406. 71 indexed citations
17.
Maley, James M. & Kevin Winker. (2010). Diversification at high latitudes: speciation of buntings in the genusPlectrophenaxinferred from mitochondrial and nuclear markers. Molecular Ecology. 19(4). 785–797. 21 indexed citations
18.
Cadena, Carlos Daniel, et al.. (2009). Paraphyly of Cinclodes fuscus (Aves: Passeriformes: Furnariidae): Implications for taxonomy and biogeography. Molecular Phylogenetics and Evolution. 53(2). 547–555. 26 indexed citations
19.
Maley, James M. & Kevin Winker. (2007). USE OF JUVENAL PLUMAGE IN DIAGNOSING SPECIES LIMITS: AN EXAMPLE USING BUNTINGS IN THE GENUS PLECTROPHENAX. The Auk. 124(3). 907–907. 12 indexed citations
20.
Maley, James M. & Kevin Winker. (2007). Use of Juvenal Plumage in Diagnosing Species Limits: An Example Using Buntings in the Genus Plectrophenax. The Auk. 124(3). 907–915. 3 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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