Peer-reviewed Publications from our ESRs

Voutsa V et al. 2021
Two classes of functional connectivity
in dynamical processes in networks. J. R. Soc. Interface 18: 20210486.

Inferring missing edges in a graph from observed collective patterns

Selim Haj Ali and Marc-Thorsten Hütt

Phys. Rev. E 105, 064610

Funk A. et al

Connectivity as a driver of river-floodplain functioning: A dynamic, graph theoretic approach,

Selected Publications from the i-CONN Partners

  1. Connectivity and complex systems: learning from a multi-disciplinary perspective
    Turnbull L, M-T Hütt, AA Ioannides, S Kininmonth, R Poeppl, K Tockner, LJ Bracken, S Keesstra, L Liu, R Masselink, AJ Parsons, 2018
    Appl Netwk Sci 3:11 doi: 10.1007/s41109-018-0067-2
  2. From structure to function: understanding shrub encroachment in drylands using hydrological and sediment connectivity
    Turnbull L, J Wainwright. 2018
    Ecol Indicators 98, 608-618.
  3. Sediment connectivity: a framework for understanding sediment transfer at multiple scales
    Bracken LJ, L Turnbull, J Wainwright, P Bogaart. 2015
    Earth Surf Process Landf 40, 177–188.
  4. Concepts of hydrological connectivity: research approaches, pathways and future agendas
    Bracken LJ, J Wainwright, et al. 2013
    Earth-Science Reviews 119, 17–34
  5. Better models are more effectively connected models
    JP Nunes, J Wainwright, CL Bielders, F Darboux, P Fiener, D Finger, L Turnbull, 2018
    Earth Surf Process Landf. 43, 1355–60
  6. Regional power and local ecologies: accumulated population trends and human impacts in the Northern Fertile Crescent
    D Lawrence, K Wilkinson, JP Buylaert, AS Murray, W Thompson, TJ Wilkinson, 2017
    Quaternary International 437 (part B), 60-81
  7. Long term population, city size and climate trends in the Fertile Crescent: a first approximation
    D Lawrence, G Philip, H Hunt, L Snape-Kennedy, TJ Wilkinson, 2016
    PLoS ONE: e0152563
  8. Hubs and upstarts: Pathways to urbanism in the Northern Fertile Crescent
    D Lawrence & TJ Wilkinson 2015
    Antiquity 89(344) 328 – 344
  9. Clustering river profiles to classify geomorphic domains
    FJ Clubb, B Bookhagen & A Rheinwalt, 2019
    J. Geophys. Res: Earth Surface, doi: 10.1029/2019JF005025
  10. How concave are river channels?
    SM Mudd, FJ Clubb, B Gailleton & MD Hurst 2018
    Earth surface Dynamics, 6, 505-523, doi:10.5194/esurf-6-505-2018
  11. The relationship between drainage density, erosion rate and hilltop curvature: implications for sediment transport processes
    FJ Clubb, SM Mudd, M Attal, DT Milodowski & SWD Grieve, 2016
    Journal of Geophysical Research: Earth Surface, doi:10.1002/2015JF003747
  1. The interdependent network of gene regulation and metabolism is robust where it needs to be
    Klosik, D. F., Grimbs, A., Bornholdt, S., and Hütt, M.-Th. 2017 
    Nature Communications, 8(1):534
  2. Network-guided pattern formation of neural dynamics
    Hütt, M.-Th., Kaiser, M. and Hilgetag, C.C. (2014)
    Phil. Trans. Roy. Soc. B 369, 20130522
  3. Artifacts in statistical analyses of network motifs: General framework and application to metabolic networks
    Beber, M., Fretter, C., Jain, S., Sonnenschein, N., Müller-Hannemann, M. and Hütt, M.-Th. (2012).
    Roy. Soc. Interface 7, 3426-3435
  4. Organization of excitable dynamics in hierarchical biological networks
    Müller-Linow, M., Hilgetag, C. and Hütt, M.-Th. (2008).
    PLoS Computational Biology 4, e1000190
  5. Dissecting the logical types of network control in gene expression profiles
    Marr, C., Geertz, M., Hütt, M.-Th. and Muskhelishvili, G. (2008),
    BMC Systems Biology 2, 18
  1. Neurofeedback and the neural representation of self: lessons from awake state and sleep.
    Ioannides, A. Α. (2018). 
    Front. Hum. Neurosci. 12, 1–20. doi:10.3389/fnhum.2018.00142
  2. Magnetoencephalography as a research tool in neuroscience: State of the art.
    Ioannides AA. 2006 
    The Neuroscientist. 12: 524-544.
  3. Dynamic functional connectivity. Current Opinions in Neurobiology
    Ioannides AA. 2007.
    17: 161-170.
  4. Continuous Probabilistic Solutions to the Biomagnetic Inverse Problem.
    Ioannides AA, Bolton JPR, Clarke CJS. 1990. 
    Inverse Problems. 6:523-542
  1. How many attackers can selfish defenders catch?
    Mavronicolas M., B. Monien, Papadopoulou Lesta 2013
    Discrete Applied Mathematics 161(16-17): 2563-2586.
  2. A Network Game with Attackers and a Defender.
    Mavronicolas , V. Papadopoulou, A. Philippou, P.G. Spirakis 2008 
    Algorithmica 51(3): 315-341.
  3. Radiocolorings in periodic planar graphs: PSPACE-completeness and efficient approximations for the optimal range of frequencies.
    Fotakis D., S. Nikoletseas, Papadopoulou Lesta, P. G. Spirakis 2006 
    J. Discrete Algorithms 4(3): 433-454.
  4. A candidate for the most luminous infrared galaxy in the local (z < 0.2) Universe
    Efstathiou A., et al. 2014
    Herschel Observations and a model for IRAS 08572+3915: MNRAS, 437, L16.
  5. Active galactic nucleus torus models and the puzzling infrared spectrum of IRAS
    Efstathiou A., et al. 2013 
    F10214+4724, MNRAS, 436, 1873.
  1. Connectivity as an emergent property of geomorphic systems. Earth Surface Processes and Landforms,
    Wohl, E., Brierley, G., Cadol, D., Coulthard, T., Covino, T., Fryirs, K., Grant, G., Hilton, R., Lane, S., Magilligan, F., Meitzen, K., Passalacqua, P., Poeppl, R., Rathburn, S., Sklar, L. 2018
  2. The geomorphic cell: a basis for studying connectivity. In press. Earth Surface Processes and Landforms.
    Poeppl, R.E., Parsons, A. 2017. 
    DOI: 10.1002/esp.4300
  3. A conceptual connectivity framework for understanding geomorphic change in human-impacted fluvial systems,
    Poeppl, R.E., Keesstra, S.D., Maroulis, J. 2017. 
    Geomorphology 277: 237-250
  4. Landslide-driven erosion and slope-channel coupling in steep, forested terrain, Ruahine Ranges,
    Fuller, I. C., Riedler, R. A., Bell, R., Marden, M., & Glade, T. (2016). 
    New Zealand, 1946-2011. CATENA 142: 252-268
  5. The influence of riparian vegetation cover on diffuse lateral connectivity and biogeomorphic processes in a medium-sized agricultural catchment, Austria.
    Poeppl, R.E., Keiler, M., Elverfeldt, K.v., Zweimueller, I., Glade, T. 2012.
    Geografiska Annaler, Series A 94: 511-529
  1. Identification of conservation and restoration priority areas in the Danube River based on the multi-functionality of river-floodplain systems.
    Funk A, J Martínez-López, F Borgwardt, D Trauner, KJ Bagstad, S Balbi, A Magrach, F Villa, T Hein 2019
    Science of the Total Environment 654, 763-777.
  2. Differences in N loading affect DOM dynamics during typhoon events in a forested mountainous catchment.
    Yeh, T-C, C-S Liao, T-C Chen, Y-T Shih, J-C Huang, F Zehetner, T Hein 2018
    Science of the Total Environment 633, 81-92.
  3. Plankton metacommunities in floodplain wetlands under contrasting hydrological conditions.
    Chaparro G, Z Horvath, I O’Farrell,  R Ptacnik, T Hein 2018
    Freshwater Biology 63, 380-391
  4. Antagonistic and synergistic effects on a stream periphyton community under the influence of pulsed flow velocity increase and nutrient enrichment.
    Bondar-Kunze, E, S Maier, D Schönauer, N Bahl, T Hein 2016 
    Science of the Total Environment 573: 594–602.
  5. Current status and restoration options for floodplains along the Danube River.
    Hein, T. et al. 2016
    Science of the Total Environment 543, 778-790.
  1. Assessing action situation networks: A configurational perspective on water and energy governance in irrigation systems.
    Kimmich, C.; Villamayor-Tomas, S. (2018). 
    Water Economics and Policy
  2. Behavioral determinants of supply chain integration and coexistence.
    Kimmich, C.; Fischbacher, U. (2016). 
    Journal of Forest Economics 25, 55-77.
  3. The water-energy–food security nexus through the lenses of the value chain and the Institutional Analysis and Development frameworks.
    Villamayor-Tomas, S.; Grundmann, P.; Epstein, G.; Evans, T.; Kimmich, C. (2015). 
    Water Alternatives, 8(1), 735-755.
  4. Linking action situations: Coordination, conflicts, and evolution in electricity provision for irrigation in Andhra Pradesh, India.
    Kimmich, C. (2013).
    Ecological Economics, 90, 150-58.
  5. Transaction network analysis for studying Local Exchange Trading Systems (LETS): Research potentials and limitations
    Fraňková, E., Fousek, J., Kala, L., Labohý J. (2014)
    Ecological Economics, 107, 266-275.
  1. Flexible information routing by transient synchrony.
    Palmigiano A, Geisel T, Wolf F, Battaglia D (2017)
    Nature Neuroscience 20(7):1014–1022.
  2. Gender bias in scholarly peer review.
    Helmer M, Schottdorf M, Neef A, Battaglia D (2017) 
    Elife 6:103.
  3. Dynamic information routing in complex networks.
    Kirst C, Timme M, Battaglia D (2016)
    Nature Communications 7:11061.
  4. The structured backbone of temporal social ties.
    Kobayashi T, Takaguchi T, Barrat A (2019)
    Nature Communications, in press (arXiv:1804.08828)
  5.  Compensating for population sampling in simulations of epidemic spread on temporal contact networks.
    Génois M, Vestergaard C, Cattuto C, Barrat A (2015)
    Nature Communications 6:8860.
  1. A framework of attitudes towards technology in theory and practice.
    Kerschner, C., Ehlers, M. (2016)
    Ecological Economics, 126, 139-150.
  2. Economic vulnerability to Peak Oil. Environ.
    Kerschner, C., Prell, C., Feng, K., Hubacek, K., (2013).
    Change 23, 1424–1433.
  3. Governance network topologies and climate change adaptation: a preliminary analysis of flood risk management in Austria
    Ceddia, G., Christopoulos, D., Hernandez, Y., Zepharovich, E. (2017)
    Environmental Science and Policy 77: 140-146
  4. Semantic Systems and Visual Tools to Support Environmental Communication
    Scharl, A., Herring, D., Rafelsberger, W., Hubmann-Haidvogel, A., Kamolov, R., Fischl, D., Föls, M. and Weichselbraun, A. (2017).
    IEEE Systems Journal, 11(2): 762-771.
  5. Twitter in academic events: a study of temporal usage, communication, sentimental and topical patterns in 16 computer science conferences.
    Parra, D., Trattner, C., Gómez, D., Hurtado, M., Wen, X., & Lin, Y. R. (2016).
    Computer Communications, 73, 301-314.
  6. Are most people happy? About the meaning of life satisfaction ratings. Ponocny, I., Weismayer, C., Dressler, S., & Stross, B. (2016).  Journal of Happiness Studies, 17(6), 2635-2653.
  7. The Relationship between Natural Urban Surroundings and Residents’ Well-being. Weismayer, Chr., Ponocny, I., Sedlacek, S., Stross, B., & Dressler, S. (2017).  Theoretical and Empirical Researches in Urban Management Journal (TERUM), 12(1), 21-37.
  8. The relationship between leisure resource information and regional well-being: a GIS approach. Weismayer, C., & Ponocny, I. (2015). European Journal of Tourism, Hospitality and Recreation, 6(1), 75-102.
  1. Collaborator for Durham University and Wear Rivers Trust CAVERTI project: Communicating and Visualizing Erosion-Associated Risks to Infrastructure..
    Output included the CAVERTI online tool (
  2. Clarifying complexity – the nexus dialogue on infrastructure solutions for water, energy & food security
    Crilly D, Dalton J, Cross K 2014
    paper presented at the Global Water Investment Summit, May 2014, London.
  3. The water-energy-food nexus, balancing our (in) securities.
    Hayes E, Crilly D 2014
    The Journal of the Institution of Environmental Sciences 23, No. 3, 30-33.
  4. Integrated river basin management and risk governance
    Muller-Grabherr D, Florin M, Harris B, Crilly D et al. 2014
    Brils J, Brack W, Muller-Grabherr D, Negrel P, Vermaat JE (eds) Risk Informed Management of European River Basins, Springer, Heidelberg.
  5. Chapter author for the ‘North East Response to the National Infrastructure Assessment’.
    Gerring, G. 
    November, 2018. Unpublished Document.
  1. The geomorphic cell: a basis for studying connectivity.
    Poeppl, R., Parsons A.J. 2017.
    Earth Surface Processes and Landforms DOI: 10.1002/esp.4300
  2. Connectivity and complex systems: learning from a multi-disciplinary perspective.
    Turnbull, L., Hütt, T-H., Ioannides,A.A., Kininmonth, S., Poeppl, R., Tockner, K., Bracken, L.J., Keesstra, S., Liu, L., Masselink, R., Parsons A.J. 2018.
    Applied Network Science 3:11 doi. 10.1007/s41109-018-0067
  3. The way forward: can connectivity be useful to design better measuring and modelling schemes for water and sediment dynamics? 
    Keesstra, S., Nunes, J., Saco, P., Parsons, A., Poeppl, R., Masselink, R., Cerdà, A.
    Science of the Total Environment  644,  1557-1572; doi: 10.1016/j.scitotenv.2018.06.342
  1. Foundations for Sustainability: A Coherent Framework of Life–Environment Relations.
    Fiscus DA, Fath BD. 2018.
    Elsevier. London.
  2. Using Energy Network Science (ENS) to connect resilience with the larger story of systemic health and development.
    Goerner S, Fiscus DA, Fath BD. 2015.
    E:CO 17, 3.
  3. Quantifying Economic and Ecological Sustainability.
    Fath BD. 2015.
    Ocean and Coastal Management 108, 13–19.
  1. Uncovering the spatially distant feedback loops of global trade: A network and input-output approach.
    Prell, C., Sun, L., Feng, K., He, J., & Hubacek, K. (2017).
    Science of the Total Environment, 586, 401-408.…)citotenv.2016.11.202
  2. Stakeholder analysis and social network analysis in natural resource management
    C Prell, K Hubacek, M Reed (2009)
    Society and Natural Resources 22 (6), 501-518
  3. Social networks and natural resource management: uncovering the social fabric of environmental governance
    Ö Bodin, C Prell (2011)
    Cambridge University Press