Melanie E. Moses

3.7k total citations
84 papers, 2.4k citations indexed

About

Melanie E. Moses is a scholar working on Mechanical Engineering, Computer Networks and Communications and Genetics. According to data from OpenAlex, Melanie E. Moses has authored 84 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Mechanical Engineering, 18 papers in Computer Networks and Communications and 16 papers in Genetics. Recurrent topics in Melanie E. Moses's work include Modular Robots and Swarm Intelligence (19 papers), Distributed Control Multi-Agent Systems (13 papers) and Insect and Arachnid Ecology and Behavior (12 papers). Melanie E. Moses is often cited by papers focused on Modular Robots and Swarm Intelligence (19 papers), Distributed Control Multi-Agent Systems (13 papers) and Insect and Arachnid Ecology and Behavior (12 papers). Melanie E. Moses collaborates with scholars based in United States, United Kingdom and Spain. Melanie E. Moses's co-authors include James H. Brown, Richard M. Sibly, Chen Hou, Wenyun Zuo, John P. DeLong, Joshua P. Hecker, Geoffrey B. West, Horacio Samaniego, Jordan G. Okie and G. Matthew Fricke and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Melanie E. Moses

81 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Melanie E. Moses United States 24 775 418 380 357 340 84 2.4k
Emma Despland Canada 28 508 0.7× 984 2.4× 1.3k 3.5× 372 1.0× 277 0.8× 81 2.8k
Jaap A. Kaandorp Netherlands 31 975 1.3× 154 0.4× 165 0.4× 407 1.1× 793 2.3× 89 2.8k
Déborah Cohen Israel 23 469 0.6× 288 0.7× 332 0.9× 361 1.0× 128 0.4× 62 2.0k
Edward A. Codling United Kingdom 28 924 1.2× 419 1.0× 510 1.3× 579 1.6× 677 2.0× 66 3.1k
J.B. Hughes United Kingdom 29 1.7k 2.2× 418 1.0× 607 1.6× 384 1.1× 996 2.9× 97 4.3k
Jonathan W. Pitchford United Kingdom 27 745 1.0× 422 1.0× 613 1.6× 503 1.4× 855 2.5× 60 2.8k
Daniel Grünbaum United States 29 855 1.1× 468 1.1× 615 1.6× 826 2.3× 392 1.2× 65 3.4k
Andy M. Reynolds United Kingdom 29 338 0.4× 446 1.1× 584 1.5× 405 1.1× 662 1.9× 130 2.5k
Garrett M. Odell United States 28 990 1.3× 794 1.9× 626 1.6× 494 1.4× 2.2k 6.5× 43 5.5k
Michael J. Plank New Zealand 32 997 1.3× 511 1.2× 635 1.7× 723 2.0× 1.2k 3.6× 152 4.3k

Countries citing papers authored by Melanie E. Moses

Since Specialization
Citations

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

Fields of papers citing papers by Melanie E. Moses

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Melanie E. Moses. 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 Melanie E. Moses. The network helps show where Melanie E. Moses may publish in the future.

Co-authorship network of co-authors of Melanie E. Moses

This figure shows the co-authorship network connecting the top 25 collaborators of Melanie E. Moses. A scholar is included among the top collaborators of Melanie E. Moses 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 Melanie E. Moses. Melanie E. Moses 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.
Fricke, G. Matthew, et al.. (2025). Space‐Time Causal Discovery in Earth System Science: A Local Stencil Learning Approach. SHILAP Revista de lepidopterología. 2(3).
2.
Fischer, Tobias P., et al.. (2024). Drone CO 2 measurements during the Tajogaite volcanic eruption. Atmospheric measurement techniques. 17(15). 4725–4736.
3.
Fricke, G. Matthew, et al.. (2024). More Is Faster: Why Population Size Matters in Biological Search. Journal of Computational Biology. 31(5). 429–444.
4.
Yeboah, Edward, Kwame Agyei Frimpong, Beatrice Darko Obiri, et al.. (2023). Biochar Systems in Ghana. 15(1). 1553–1577. 2 indexed citations
5.
Torres, David J., Paulus Mrass, Emily A. Thompson, et al.. (2023). Quantitative analyses of T cell motion in tissue reveals factors driving T cell search in tissues. eLife. 12. 2 indexed citations
6.
Romero, Elsa, et al.. (2022). Agent-based modeling predicts RAC1 is critical for ovarian cancer metastasis. Molecular Biology of the Cell. 33(14). ar138–ar138. 3 indexed citations
8.
Moses, Melanie E., et al.. (2021). Spatially distributed infection increases viral load in a computational model of SARS-CoV-2 lung infection. PLoS Computational Biology. 17(12). e1009735–e1009735. 21 indexed citations
9.
Mrass, Paulus, Sreenivasa Rao Oruganti, G. Matthew Fricke, et al.. (2017). ROCK regulates the intermittent mode of interstitial T cell migration in inflamed lungs. Nature Communications. 8(1). 1010–1010. 33 indexed citations
10.
Steinkamp, Mara P., Rebecca Lee, Maciej Swat, et al.. (2016). Spatial Modeling of Drug Delivery Routes for Treatment of Disseminated Ovarian Cancer. Cancer Research. 76(6). 1320–1334. 28 indexed citations
11.
Forrest, Stephanie, et al.. (2016). A spatial model of the efficiency of T cell search in the influenza-infected lung. Journal of Theoretical Biology. 398. 52–63. 20 indexed citations
12.
Hecker, Joshua P., et al.. (2015). Volatility and spatial distribution of resources determine ant foraging strategies. 256–263. 3 indexed citations
13.
Hecker, Joshua P., et al.. (2013). Evolving Error Tolerance in Biologically-Inspired iAnt Robots. 1025–1032. 3 indexed citations
14.
Fricke, G. Matthew, François Asperti-Boursin, Joshua P. Hecker, Judy L. Cannon, & Melanie E. Moses. (2013). From Microbiology to Microcontrollers: Robot Search Patterns Inspired by T Cell Movement. 1009–1016. 1 indexed citations
15.
Steinkamp, Mara P., Suzy Davies, Carolyn Y. Muller, et al.. (2013). Ovarian Tumor Attachment, Invasion, and Vascularization Reflect Unique Microenvironments in the Peritoneum: Insights from Xenograft and Mathematical Models. Frontiers in Oncology. 3. 97–97. 45 indexed citations
16.
Banavar, Jayanth R., Melanie E. Moses, James H. Brown, et al.. (2010). A general basis for quarter-power scaling in animals. Proceedings of the National Academy of Sciences. 107(36). 15816–15820. 158 indexed citations
17.
Moses, Melanie E., Chen Hou, William H. Woodruff, et al.. (2008). Revisiting a Model of Ontogenetic Growth: Estimating Model Parameters from Theory and Data. The American Naturalist. 171(5). 632–645. 127 indexed citations
18.
Samaniego, Horacio & Melanie E. Moses. (2008). Cities as Organisms: Allometric Scaling of Urban Road Networks. Journal of Transport and Land Use. 1(1). 130 indexed citations
19.
Kerkhoff, Andrew J., et al.. (2007). Global Patterns of City Size Distributions and Their Fundamental Drivers. PLoS ONE. 2(9). e934–e934. 52 indexed citations
20.
Savage, Van M., Ethan P. White, Melanie E. Moses, et al.. (2006). Comment on "The Illusion of Invariant Quantities in Life Histories". Science. 312(5771). 198–198. 22 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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