PUBLICATIONS

PUBLICATIONS

List of peer-reviewed articles in reverse order of their appearance.  Numbered items are publications directly affiliated to the MTA-ELTE Collective Behaviour Research Group. Non-numbered items are previous publications of the group members.

2024

17. Sampaio, E., Sridhar, V. H., Fransisco, F., Nagy, M., Sacchi, A., Strandburg-Peshkin, A., Nührenberg, P., Rosa, R., Couzin, I.D. & Gingins, S. (2024). Multidimensional leadership and composition-driven success in octopus-fish hunting groups. Nature Ecology and Evolution, doi.org/10.1038/s41559-024-02525-2  
18. Nagy, M., Davidson, J. D., Vásárhelyi, G., Ábel, D., Kubinyi, E., Hady, A. E., & Vicsek, T. (2024). Long-term tracking of social structure in groups of rats. Scientific Reports arXiv:2408.08945  
19. Amichay, G., Li, L., Nagy, M., & Couzin, I. D. (2024). Revealing the mechanism and function underlying pairwise temporal coupling in collective motion. Nature Communications, 15(1), 4356. 
20. Waldmann, U., Chan, A. H. H., Naik, H., Nagy, M., Couzin, I. D., Deussen, O., Goldluecke, B. & Kano, F. (2024). 3d-muppet: 3d multi-pigeon pose estimation and tracking. International Journal of Computer Vision, 1-18.  

2023

13. Ozogány, K., Kerekes, V., Fülöp, A., Barta, Z., & Nagy, M. (2023). Fine-scale collective movements reveal present, past and future dynamics of a multilevel society in Przewalski’s horses. Nature Communications, 14(1), 5096.  
14. Nagy, M., Naik, H., Kano, F., Carlson, N. V., Koblitz, J. C., Wikelski, M., & Couzin, I. D. (2023). SMART-BARN: Scalable multimodal arena for real-time tracking behavior of animals in large numbers. Science Advances, 9(35), eadf8068.  
15. Naik, H., Chan, A. H. H., Yang, J., Delacoux, M., Couzin, I. D., Kano, F., & Nagy, M. (2023). 3D-POP-An automated annotation approach to facilitate markerless 2D-3D tracking of freely moving birds with marker-based motion capture. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 21274-21284).  
16. Sridhar, V. H., Davidson, J. D., Twomey, C. R., Sosna, M. M., Nagy, M., & Couzin, I. D. (2023). Inferring social influence in animal groups across multiple timescales. Philosophical Transactions of the Royal Society B, 378(1874), 20220062. 

2022

9. Kano, F., Naik, H., Keskin, G., Couzin, I. D., & Nagy, M. (2022). Head-tracking of freely-behaving pigeons in a motion-capture system reveals the selective use of visual field regions. Scientific Reports, 12(1), 1-15. 
10. Waldmann, U., Naik, H., Nagy, M., Kano, F., Couzin, I. D., Deussen, O., & Goldlücke, B. (2022). I-MuPPET: Interactive multi-pigeon pose estimation and tracking. In DAGM German Conference on Pattern Recognition (pp. 513-528). Springer, Cham. 
11. Zafeiris, A. (2022). Opinion Polarization in Human Communities Can Emerge as a Natural Consequence of Beliefs Being Interrelated. Entropy, 24(9), 1320. 
12. Marcelino, R., Sampaio, J., Amichay, G., Gonçalves, B., Couzin, I. D., & Nagy, M. (2022). Kollektives Verhalten im Fußball. In Spielanalyse im Sportspiel (pp. 245-253). Springer Spektrum, Berlin, Heidelberg. 

2021

5. Sridhar, V. H., Li, L., Gorbonos, D., Nagy, M., Schell, B. R., Sorochkin, T., Gov, N.S. & Couzin, I. D. (2021). The geometry of decision-making in individuals and collectives. Proceedings of the National Academy of Sciences,118(50). 
6. Marcelino, R., Sampaio, J., Amichay, G., Gonçalves, B., Couzin, I. D., & Nagy, M. (2021). Collective Behavior in Football. Match Analysis: How to Use Data in Professional Sport, 18. 

2020

3. Li, L., Nagy, M., Graving, J. M., Bak-Coleman, J., Xie, G., & Couzin, I. D. (2020). Vortex phase matching as a strategy for schooling in robots and in fish. Nature Communications, 11(1), 1-9. 

• Berekméri, E., & Zafeiris, A. (2020). Optimal collective decision making: consensus, accuracy and the effects of limited access to information. Scientific reports, 10(1), 1-12.

1. Nagy, M., Horicsányi, A., Kubinyi, E., Couzin, I. D., Vásárhelyi, G., Flack, A., & Vicsek, T. (2020). Synergistic benefits of group search in rats, Current Biology 30, 1-6. 10.1016/j.cub.2020.08.079
2. Marcelino, R., Sampaio, J., Amichay, G., Gonçalves, B., Couzin, I. D., & Nagy, M. (2020). Collective movement analysis reveals coordination tactics of team players in football matches. Chaos, Solitons & Fractals. 138. 109831. 10.1016/j.chaos.2020.109831.

2019

• Berekméri, E., Derényi, I., & Zafeiris, A. (2019). Optimal structure of groups under exposure to fake news. Applied Network Science, 4(1), 101.
• Klein, K., Sommer, B., Nim, H. T., Flack, A., Safi, K., Nagy, M., ... & Quetting, M. (2019). Fly with the flock: immersive solutions for animal movement visualization and analytics. Journal of the Royal Society Interface, 16(153), 20180794.

2018

• Koblitz, J. C., Frokosh, O., Nagy, M., Carlson, N., Naik, H., & Iain, C. (2018). Turning birds into bats—Multi-modal tracking to study collective behaviour. The Journal of the Acoustical Society of America, 144(3), 1886-1886.
• Nagy, M., Couzin, I. D., Fiedler, W., Wikelski, M., & Flack, A. (2018). Synchronization, coordination and collective sensing during thermalling flight of freely migrating white storks. Philosophical Transactions of the Royal Society B: Biological Sciences, 373(1746), 20170011.
• Flack, A.*, Nagy, M.*, Fiedler, W., Couzin, I. D., & Wikelski, M. (2018) From local collective behavior to global migratory patterns in white storks. Science, 360(6391), 911-914. (* co-first authors)

2017

• Nim, H. T., Sommer, B., Klein, K., Flack, A., Safi, K., Nagy, M., ... & Schreiber, F. (2017, September). Design Considerations for Immersive Analytics of Bird Movements Obtained by Miniaturised GPS Sensors. In VCBM (pp. 27-31).
• Watts, I., Nagy, M., Holbrook, R. I., Biro, D., & Burt de Perera, T. (2017). Validating two-dimensional leadership models on three-dimensionally structured fish schools. Royal Society open science, 4(1), 160804.

2016

• Virágh, C., Nagy, M., Gershenson, C., & Vásárhelyi, G. (2016, October). Self-organized UAV traffic in realistic environments. In 2016 IEEE/RSJ international conference on intelligent robots and systems (IROS) (pp. 1645-1652). IEEE.
• Neto, J. P., Lopes, G., Frazão, J., Nogueira, J., Lacerda, P., Baião, P., ... & Barquinha, P. (2016). Validating silicon polytrodes with paired juxtacellular recordings: method and dataset. Journal of neurophysiology, 116(2), 892-903.
• Watts, I., Nagy, M., Burt de Perera, T., & Biro, D. (2016). Misinformed leaders lose influence over pigeon flocks. Biology letters, 12(9), 20160544
• Watts, I., Pettit, B., Nagy, M., de Perera, T. B., & Biro, D. (2016). Lack of experience-based stratification in homing pigeon leadership hierarchies. Royal Society open science, 3(1), 150518.

2015

• Yomosa, M., Mizuguchi, T., Vásárhelyi, G., & Nagy, M. (2015). Coordinated behaviour in pigeon flocks. Plos one, 10(10), e0140558.

2014

• Ákos, Z., Beck, R., Nagy, M., Vicsek, T., & Kubinyi, E. (2014). Leadership and path characteristics during walks are linked to dominance order and individual traits in dogs. PLoS Comput Biol, 10(1), e1003446.

2013

• Nagy, M., Vásárhelyi, G., Pettit, B., Roberts-Mariani, I., Vicsek, T., & Biro, D. (2013). Context-dependent hierarchies in pigeons. Proceedings of the National Academy of Sciences, 110(32), 13049-13054.
• Flack, A., Ákos, Z., Nagy, M., Vicsek, T., & Biro, D. (2013). Robustness of flight leadership relations in pigeons. Animal Behaviour, 86(4), 723-732.
• Gerencsér, L., Vásárhelyi, G., Nagy, M., Vicsek, T., & Miklósi, A. (2013). Identification of behaviour in freely moving dogs (Canis familiaris) using inertial sensors. PloS one, 8(10), e77814.

2011

• Tarcai, N., Virágh, C., Ábel, D., Nagy, M., Várkonyi, P. L., Vásárhelyi, G., & Vicsek, T. (2011). Patterns, transitions and the role of leaders in the collective dynamics of a simple robotic flock. Journal of Statistical Mechanics: Theory and Experiment, 2011(04), P04010.

2010

• Nagy, M., Ákos, Z., Biro, D., & Vicsek, T. (2010). Hierarchical group dynamics in pigeon flocks. Nature, 464(7290), 890-893.
• Ákos, Z., Nagy, M., Leven, S., & Vicsek, T. (2010). Thermal soaring flight of birds and unmanned aerial vehicles. Bioinspiration & biomimetics, 5(4), 045003.

2009

• Szabó, P., Nagy, M., & Vicsek, T. (2009). Transitions in a self-propelled-particles model with coupling of accelerations. Physical Review E, 79(2), 021908.

2008

• Akos, Z., Nagy, M., & Vicsek, T. (2008). Comparing bird and human soaring strategies. Proceedings of the National Academy of Sciences, 105(11), 4139-4143.
• Gönci, B., Nagy, M., & Vicsek, T. (2008). Phase transition in the scalar noise model of collective motion in three dimensions. The European Physical Journal Special Topics, 157(1), 53-59.

2007

• Nagy, M., Daruka, I., & Vicsek, T. (2007). New aspects of the continuous phase transition in the scalar noise model (SNM) of collective motion. Physica A: Statistical Mechanics and its Applications, 373, 445-454.