Edward C. Chang

11.4k citations
254 papers · 8.0k indexed · h-index 49

Edward C. Chang

245 papers receiving 7.2k citations

Peers

Edward C. Chang
Comparison fields: 5 of 147
  • Clinical Psychology 4.3k
  • Social Psychology 3.5k
  • Applied Psychology 2.8k
  • Experimental and Cognitive Psychology 2.3k
  • Sociology and Political Science 1.3k
Replace Joseph Ciarrochi with:
Joseph Ciarrochi Australia
Michele M. Tugade United States
Nansook Park United States
E. Scott Huebner United States
M. Lynne Cooper United States
Daniel K. Lapsley United States
Jennifer D. Campbell Canada
Jari‐Erik Nurmi Finland
Bruce E. Wampold United States
Pablo Fernández‐Berrocal Spain
Edward C. Chang relative to Joseph Ciarrochi Australia Joseph Ciarrochi's profile →
Citations per field
00.5×1.5×
Joseph Ciarrochi · 1×
Citations per year

Countries citing papers authored by Edward C. Chang

Since Specialization
Citations

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

Fields of papers citing papers by Edward C. Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Edward C. Chang. 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 Edward C. Chang. The network helps show where Edward C. Chang may publish in the future.

Co-authorship network of co-authors of Edward C. Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Edward C. Chang. A scholar is included among the top collaborators of Edward C. Chang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Edward C. Chang. Edward C. Chang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 3
2 0
3 3
4 4
5 1
6 2
7 3
8 17
9 29
10 24
11 9
12 15
13 0
14 20
15 6
16 17
17 12
18 79
19 52
20 36

About Edward C. Chang

Edward C. Chang is a scholar working on Applied Psychology, Clinical Psychology and Social Psychology, having authored 254 papers that have together received 8.0k indexed citations. Recurring topics across this work include Optimism, Hope, and Well-being (99 papers), Psychological Well-being and Life Satisfaction (72 papers) and Psychological and Temporal Perspectives Research (47 papers). The work is most often cited by research in Applied Psychology (2.8k citations), Clinical Psychology (4.3k citations) and Experimental and Cognitive Psychology (2.3k citations). Edward C. Chang has collaborated with scholars based in United States, China and Spain. Frequent co-authors include Lawrence J. Sanna, Thomas J. D’Zurilla, Jameson K. Hirsch, Alberto Maydeu‐Olivares, Kira Hudson Banks, Olivia D. Chang, Kevin L. Rand, Elizabeth A. Yu, Elizabeth L. Jeglic and Julie K. Norem. Their work appears in journals such as Journal of Personality and Social Psychology, Behaviour Research and Therapy and Personality and Social Psychology Bulletin.

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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