M. A. Bees

1.7k total citations
53 papers, 1.3k citations indexed

About

M. A. Bees is a scholar working on Condensed Matter Physics, Biomedical Engineering and Computer Networks and Communications. According to data from OpenAlex, M. A. Bees has authored 53 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Condensed Matter Physics, 17 papers in Biomedical Engineering and 12 papers in Computer Networks and Communications. Recurrent topics in M. A. Bees's work include Micro and Nano Robotics (22 papers), Microfluidic and Bio-sensing Technologies (16 papers) and Nonlinear Dynamics and Pattern Formation (12 papers). M. A. Bees is often cited by papers focused on Micro and Nano Robotics (22 papers), Microfluidic and Bio-sensing Technologies (16 papers) and Nonlinear Dynamics and Pattern Formation (12 papers). M. A. Bees collaborates with scholars based in United Kingdom, Spain and United States. M. A. Bees's co-authors include N. A. Hill, Ottavio A. Croze, Christopher R. Williams, Rachel N. Bearon, Andrew M. Edwards, Francesc Sagués, Antonio J. Pons, P. G. Sørensen, Wilson C. K. Poon and D. Schley and has published in prestigious journals such as Physical Review Letters, The Journal of Chemical Physics and The Journal of Physical Chemistry B.

In The Last Decade

M. A. Bees

52 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. A. Bees United Kingdom 23 655 544 278 235 169 53 1.3k
Kevin Stratford United Kingdom 26 393 0.6× 296 0.5× 68 0.2× 423 1.8× 78 0.5× 55 2.1k
Idán Tuval Spain 22 1.5k 2.3× 989 1.8× 149 0.5× 187 0.8× 385 2.3× 53 2.8k
Marco Polin United Kingdom 22 1.6k 2.4× 1.2k 2.1× 113 0.4× 124 0.5× 437 2.6× 37 2.3k
Jeffrey Guasto United States 21 1.3k 2.1× 1.3k 2.3× 370 1.3× 409 1.7× 298 1.8× 50 2.7k
Amin Doostmohammadi Denmark 25 1.6k 2.4× 715 1.3× 218 0.8× 249 1.1× 279 1.7× 72 2.3k
R. Adhikari India 22 619 0.9× 411 0.8× 84 0.3× 415 1.8× 178 1.1× 52 1.8k
Kyriacos C. Leptos United Kingdom 9 598 0.9× 386 0.7× 60 0.2× 73 0.3× 204 1.2× 12 1.2k
Médéric Argentina France 20 281 0.4× 310 0.6× 134 0.5× 471 2.0× 193 1.1× 54 1.6k
F. De Lillo Italy 17 271 0.4× 192 0.4× 390 1.4× 503 2.1× 69 0.4× 45 1.0k
Avraham Be’er Israel 23 1.2k 1.8× 881 1.6× 125 0.4× 100 0.4× 275 1.6× 48 2.4k

Countries citing papers authored by M. A. Bees

Since Specialization
Citations

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

Fields of papers citing papers by M. A. Bees

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. A. Bees

This figure shows the co-authorship network connecting the top 25 collaborators of M. A. Bees. A scholar is included among the top collaborators of M. A. Bees 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 M. A. Bees. M. A. Bees 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.
Pushkin, Dmitri O., et al.. (2023). Emergent Lag Phase in Flux-Regulation Models of Bacterial Growth. Bulletin of Mathematical Biology. 85(9). 84–84. 4 indexed citations
2.
Bees, M. A.. (2020). Advances in Bioconvection. Annual Review of Fluid Mechanics. 52(1). 449–476. 102 indexed citations
3.
Peaudecerf, François J., et al.. (2018). Microbial mutualism at a distance: The role of geometry in diffusive exchanges. Physical review. E. 97(2). 22411–22411. 12 indexed citations
4.
Bees, M. A., et al.. (2017). Pulse Generation in the Quorum Machinery of Pseudomonas aeruginosa. Bulletin of Mathematical Biology. 79(6). 1360–1389. 3 indexed citations
5.
Jikeli, Jan F., et al.. (2017). Simultaneous two-color imaging in digital holographic microscopy. Optics Express. 25(23). 28489–28489. 12 indexed citations
6.
Pushkin, Dmitri O. & M. A. Bees. (2016). Bugs on a Slippery Plane. Advances in experimental medicine and biology. 915. 193–205. 1 indexed citations
7.
Williams, Christopher R. & M. A. Bees. (2013). Mechanistic modeling of sulfur‐deprived photosynthesis and hydrogen production in suspensions of Chlamydomonas reinhardtii. Biotechnology and Bioengineering. 111(2). 320–335. 25 indexed citations
8.
Croze, Ottavio A., Gaetano Sardina, Musse Mohamud Ahmed, M. A. Bees, & Luca Brandt. (2012). Dispersion of swimming algae in laminar and turbulent channel flows: theory and simulations. arXiv (Cornell University). 1 indexed citations
9.
Angulo, O., J.C. López-Marcos, & M. A. Bees. (2012). Mass Structured Systems with Boundary Delay: Oscillations and the Effect of Selective Predation. Journal of Nonlinear Science. 22(6). 961–984. 7 indexed citations
10.
Bees, M. A., et al.. (2010). Persistence of cluster synchronization under the influence of advection. Physical Review E. 81(5). 51902–51902. 15 indexed citations
11.
Cisneros, Luis, John O. Kessler, Ricardo Ortiz, Ricardo Cortez, & M. A. Bees. (2008). Unexpected Bipolar Flagellar Arrangements and Long-Range Flows Driven by Bacteria near Solid Boundaries. Physical Review Letters. 101(16). 168102–168102. 24 indexed citations
12.
Pons, Antonio J., Oriol Batiste, & M. A. Bees. (2008). Nonlinear chemoconvection in the methylene-blue–glucose system: Two-dimensional shallow layers. Physical Review E. 78(1). 16316–16316. 4 indexed citations
13.
Bees, M. A., et al.. (2007). Emergent Features Due to Grid-Cell Biology: Synchronisation in Biophysical Models. Bulletin of Mathematical Biology. 69(4). 1401–1422. 4 indexed citations
14.
Hamilton, Ruth, et al.. (2007). The luminance–response function of the human photopic electroretinogram: A mathematical model. Vision Research. 47(23). 2968–2972. 43 indexed citations
15.
Hillary, Ruth & M. A. Bees. (2004). Synchrony & chaos in patchy ecosystems. Bulletin of Mathematical Biology. 66(6). 1909–1931. 11 indexed citations
16.
Hillary, Richard & M. A. Bees. (2004). Plankton lattices and the role of chaos in plankton patchiness. Physical Review E. 69(3). 31913–31913. 13 indexed citations
17.
Pons, Antonio J., Francesc Sagués, & M. A. Bees. (2004). Chemoconvection patterns in the methylene-blue–glucose system: Weakly nonlinear analysis. Physical Review E. 70(6). 66304–66304. 3 indexed citations
18.
Bees, M. A.. (2002). Quantitative Effects of Medium Hardness and Nutrient Availability on the Swarming Motility of Serratia liquefaciens. Bulletin of Mathematical Biology. 64(3). 565–587. 17 indexed citations
19.
Bees, M. A., et al.. (2000). The interaction of thin-film flow, bacterial swarming and cell differentiation in colonies of Serratia liquefaciens. Journal of Mathematical Biology. 40(1). 27–63. 39 indexed citations
20.
Pons, Antonio J., Francesc Sagués, M. A. Bees, & P. G. Sørensen. (2000). Pattern Formation in the Methylene-Blue−Glucose System. The Journal of Physical Chemistry B. 104(10). 2251–2259. 32 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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