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Cited by 489

The DOI matches its Crossref record; 50 of the 50 references it cites were found in a registry or an index.

Networks in Public Administration Scholarship: Understanding Where We Are and Where We Need to Go

Open access
Isett, K. R., Mergel, I. A., LeRoux, K., Mischen, P. A., Rethemeyer, R. K.·2011·Journal of Public Administration Research and Theory

Abstract

This article examines the road that network scholarship has followed in Public Administration. We look at the historical drivers of the use of networks in practice and scholarship in the field and discuss how that has shaped the current literature. The body of the article focuses on the current challenges that network scholars face in the discipline, specifically basic theoretical issues, knowledge about formal networks, knowledge about informal networks, and methodological issues. We close the article with a look to the future and some suggestions for the future of network scholarship in Public Administration.

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Metadata

Authors
Isett, K. R., Mergel, I. A., LeRoux, K., Mischen, P. A., & Rethemeyer, R. K.
Venue
Journal of Public Administration Research and Theory
Published
2010-12-07
Volume
21
Issue
Supplement 1
Pages
i157-i173
ISSN
  • 1053-1858 (ISSN-L)
  • 1477-9803
OpenAlex
W2100310895
Cited by
489
References
50
FWCI
54.02
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Networks in Public Administration Scholarship: Understanding Where We Are and Where We Need to Go. https://app.cochat.ai/papers/10.1093/jopart/muq061
The paper
Isett, K. R., Mergel, I. A., LeRoux, K., Mischen, P. A., & Rethemeyer, R. K. (2011). Networks in Public Administration Scholarship: Understanding Where We Are and Where We Need to Go. Journal of Public Administration Research and Theory. https://doi.org/10.1093/jopart/muq061

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.