Moin Syed

15.1k total citations · 8 hit papers
156 papers, 8.2k citations indexed

About

Moin Syed is a scholar working on Sociology and Political Science, Developmental and Educational Psychology and Clinical Psychology. According to data from OpenAlex, Moin Syed has authored 156 papers receiving a total of 8.2k indexed citations (citations by other indexed papers that have themselves been cited), including 102 papers in Sociology and Political Science, 47 papers in Developmental and Educational Psychology and 38 papers in Clinical Psychology. Recurrent topics in Moin Syed's work include Racial and Ethnic Identity Research (53 papers), Identity, Memory, and Therapy (44 papers) and Youth Education and Societal Dynamics (26 papers). Moin Syed is often cited by papers focused on Racial and Ethnic Identity Research (53 papers), Identity, Memory, and Therapy (44 papers) and Youth Education and Societal Dynamics (26 papers). Moin Syed collaborates with scholars based in United States, Sweden and Germany. Moin Syed's co-authors include Kate C. McLean, Margarita Azmitia, Sarah C. Nelson, Linda P. Juang, Seth J. Schwartz, Adriana J. Umaña‐Taylor, Richard M. Lee, Deborah Rivas‐Drake, Tiffany Yip and Eleanor K. Seaton and has published in prestigious journals such as Journal of Personality and Social Psychology, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Moin Syed

143 papers receiving 7.8k citations

Hit Papers

Ethnic and Racial Identity During Adolescence and Into Yo... 2011 2026 2016 2021 2014 2014 2015 2015 2011 250 500 750

Peers

Moin Syed
Comparison fields: 5 of 162
  • Sociology and Political Science 4.5k
  • Education 2.4k
  • Clinical Psychology 2.4k
  • Social Psychology 1.8k
  • Developmental and Educational Psychology 1.6k
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Citations per field, relative to Moin Syed
Moin Syed · 1×
Citations per year, relative to Moin Syed
Moin Syed · 1×

Countries citing papers authored by Moin Syed

Since Specialization
Citations

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

Fields of papers citing papers by Moin Syed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Moin Syed

This figure shows the co-authorship network connecting the top 25 collaborators of Moin Syed. A scholar is included among the top collaborators of Moin Syed 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 Moin Syed. Moin Syed 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
# Work Indexed citations
1 0
2 5
3 1
4 0
5 2
6 0
7 0
8 1
9 0
10 4
11 3
12 8
13 17
14 16
15 4
16 1
17 7
18 26
19 28
20
Guidelines for Establishing Reliability When Coding Narrative Data breakdown →
502

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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