Sam Zhang

9 papers receiving 302 citations

Hit Papers

Quantifying hierarchy and dynamics in US faculty hiring a...202220262023202420222023255075100

Peers

Sam Zhang
Comparison fields: 5 of 88
  • Gender Studies 85
  • Statistics, Probability and Uncertainty 55
  • Sociology and Political Science 46
  • Public Health, Environmental and Occupational Health 36
  • Infectious Diseases 34
Replace Wei Yang Tham with:
Wei Yang Tham United States
Esther Isabelle Wilder United States
Dan‐Bright S. Dzorgbo Ghana
Ana María Ramírez United States
Diego Kozlowski Canada
Mohammed Yahia United States
Bernd Weiß Germany
Emmanuel Koku United States
Shawn Harmon United Kingdom
Dilshani Sarathchandra United States
Sam Zhang relative to Wei Yang Tham United States Wei Yang Tham's profile →
Citations per field
00.5×3.4×
Wei Yang Tham · 1×
Citations per year

Countries citing papers authored by Sam Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Sam Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sam Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Sam Zhang. A scholar is included among the top collaborators of Sam Zhang 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 Sam Zhang. Sam Zhang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
#WorkIndexed citations
1 0
2 0
3
Gender and retention patterns among U.S. facultybreakdown →
71
4 18
5 2
6 10
7
Quantifying hierarchy and dynamics in US faculty hiring and retentionbreakdown →
100
8 24
9 36
10 0
11 11
12 41

About Sam Zhang

Sam Zhang is a scholar working on Statistics, Probability and Uncertainty, Modeling and Simulation and Gender Studies, having authored 12 papers that have together received 313 indexed citations. Recurring topics across this work include scientometrics and bibliometrics research (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Gender Diversity and Inequality (2 papers). The work is most often cited by research in Gender Studies (85 citations), Statistics, Probability and Uncertainty (55 citations) and Modeling and Simulation (25 citations). Sam Zhang has collaborated with scholars based in United States, Brazil and China. Frequent co-authors include Aaron Clauset, Daniel B. Larremore, K. Hunter Wapman, Bailey K. Fosdick, Nicholas LaBerge, Allison C. Morgan, Mirta Galešić, Skyler Cranmer, Weihua Li and Zhiming Zheng. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

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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