Scholarly networks on resilience, vulnerability and adaptation – update

Marco Janssen has updated his 2006 analysis of scholary networks in global change resilience, vulnerability and adaptation research. For his new paper in Ecology and Society (Janssen 2007) Janssen added more than 1000 new publications to the database, to analyze a total of 3399 publications from between 1967 and 2007. His analysis shows both rapid increase in the publications in the field, as well as increased integration of the three knowledge domains

Janssen mapped the co-author network of the almost 7000 unique authors in the data set. He selected the 16 most productive authors with a minimum of 15 papers. Both sets make up the set of 17 authors who are very productive and/or collaborative. Next, we determined all co-authors for those 17 authors, but kept only the 69 authors who had published a minimum of six papers.

figure 2

The figure above shows the most productive and best connected authors with the strongest co-authorship relations. Circles denote author nodes, and are labeled by the author’s last name and initials. Legend: Node – author; Node area size—# of publications; Node area color—# of unique co-authors.

Also, interestingly, three of the journals that contain the most articles in this field were newly founded in the past decade: Global Environmental Change, Ecology and Society, and Ecosystems. Ecology and Society is the most journal with the most papers in the resilience domain and the 4th greatest number of citation.

Key works that are heavily cited across research communities are:

Burton, I., R. W. Kates, and G. F. White. 1978. The environment as hazard. Oxford University Press, New York, New York, USA.

Holling, C. S. 1973. Resilience and stability of ecological systems. Annual Review of Ecology and Systematics 4:1–23.

One thought on “Scholarly networks on resilience, vulnerability and adaptation – update”

  1. It would be nice to layer in which articles were the most cited and overlay it with the productivity of the author networks. Both the direct ven diagram overlaps and the outliers and gaps might be interesting, as well. And then looking at the conclusions of the papers and seeing either new research dollars or new policy dollars going that way; mapping to actual economic influence might be another interesting view.

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