Daniel Mattingly

960 citations
19 papers · 546 · h-index 10

Impact in

Papers in

Daniel Mattingly

17 papers receiving 510 citations

Peers

Daniel Mattingly
Comparison fields: 5 of 71
  • Political Science and International Relations 286
  • Communication 52
  • Development 26
  • Economics and Econometrics 169
  • Sociology and Political Science 257
Replace Leopoldo Fergusson with:
Leopoldo Fergusson Colombia
Darin Christensen United States
Laron Williams United States
Adrienne LeBas United States
Rachel Sigman United States
Christian Houle United States
Nils‐Christian Bormann Switzerland
Christopher Alcantara Canada
Candelaria Garay United States
Farhad Miri Sweden
Daniel Mattingly relative to Leopoldo Fergusson Colombia Leopoldo Fergusson's profile →
Citations per field
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Citations per year

Countries citing papers authored by Daniel Mattingly

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Mattingly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Mattingly. 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 Daniel Mattingly. The network helps show where Daniel Mattingly may publish in the future.

Co-authors

The 13 scholars most cited alongside Daniel Mattingly, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel Mattingly Line = papers co-authored together Daniel Mattingly links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 2017140
2 2016118
3 201957
4 202255
5 202139
6 202228
7 201526
8 201225
9 201917
10 202210
11 20209
12 20206
13 20245
14 20215
15
Nondestructive Evaluation of Composite Repairs
20133
16
At Your Service: Service Learning in Your Local FFA Chapter
20011
17 20251
18 20181
19 20250

About Daniel Mattingly

Daniel Mattingly is a scholar working on Sociology and Political Science, Political Science and International Relations, Demography, Gender Studies and Communication, having authored 19 papers that have together received 546 indexed citations. Recurring topics across this work include China's Socioeconomic Reforms and Governance (7 papers), Political Conflict and Governance (4 papers), Culture, Economy, and Development Studies (4 papers), Media Influence and Politics (4 papers), Demographic Trends and Gender Preferences (3 papers), Social Media and Politics (2 papers), Religion and Society Interactions (2 papers) and International Relations and Foreign Policy (2 papers). The work is most often cited by research in Political Science and International Relations (286 citations), Communication (52 citations), Development (26 citations), Economics and Econometrics (169 citations) and Sociology and Political Science (257 citations). Daniel Mattingly has collaborated with scholars based in United States, Netherlands and Hong Kong. Frequent co-authors include Peter Lorentzen, James L. Sundquist, Mai Hassan, Elizabeth R. Nugent, Jay K. Varma, Shua J. Chai, Ting Chen, Seiki Tanaka, Frances Rosenbluth and Tsuchin Philip Chu. Their work appears in journals such as American Journal of Political Science, The Journal of Politics, Comparative Political Studies, British Journal of Political Science and Comparative Politics.

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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