Erik Wang

33 papers receiving 490 citations

Erik Wang's Hit Papers

Matching Methods for Causal Inference with Time‐Series Cross‐Sectional Data 2021 · 173 citations
1730+1+3Years since publication50100150

Peers

Erik Wang
Comparison fields: 5 of 91
  • Development 20
  • Pathology and Forensic Medicine 80
  • Economics and Econometrics 111
  • Political Science and International Relations 98
  • Sociology and Political Science 122
Replace Trish Kelly with:
Trish Kelly United States
Nicole Ball United Kingdom
Xiaolin Wang China
Eli Segal Canada
Sanjeev Gupta Australia
Daniel Blake Spain
Adam S. Harris United States
François Theron South Africa
Hui-Lin Lin Taiwan
Thomas Widmer Switzerland
Erik Wang relative to Trish Kelly United States Trish Kelly's profile →
Citations per field
00.5×10×20×30×43×
Trish Kelly · 1×
Citations per year

Countries citing papers authored by Erik Wang

Since Specialization
Citations

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

Fields of papers citing papers by Erik Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Erik Wang, 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 Erik Wang Line = papers co-authored together Erik Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Matching Methods for Causal Inference with Time‐Series Cross‐Sectional Data
Hit paper breakdown →
2021173
2 201748
3 202041
4 202037
5 202234
6 201821
7 202019
8 201915
9 202112
10 201911
11 202010
12 20198
13 20218
14 20197
15 20196
16 19965
17 20205
18 20175
19 20205
20 20214

About Erik Wang

Erik Wang is a scholar working on Surgery, Sociology and Political Science, Pathology and Forensic Medicine, Economics and Econometrics and Political Science and International Relations, having authored 36 papers that have together received 505 indexed citations. Recurring topics across this work include Spine and Intervertebral Disc Pathology (8 papers), Corruption and Economic Development (4 papers), Spinal Fractures and Fixation Techniques (4 papers), Scoliosis diagnosis and treatment (4 papers), China's Socioeconomic Reforms and Governance (4 papers), Fiscal Policy and Economic Growth (3 papers), Advancements in Photolithography Techniques (3 papers) and Chinese history and philosophy (3 papers). The work is most often cited by research in Development (20 citations), Pathology and Forensic Medicine (80 citations), Economics and Econometrics (111 citations), Political Science and International Relations (98 citations) and Sociology and Political Science (122 citations). Erik Wang has collaborated with scholars based in United States, Australia and Netherlands. Frequent co-authors include Kosuke Imai, In Song Kim, Yiqing Xu, Aaron J. Buckland, Dennis Vasquez-Montes, Christopher Varlotta, Themistocles S. Protopsaltis, Peter G. Passias, Cole Bortz and Haddy Alas. Their work appears in journals such as The Spine Journal, The International Journal of Spine Surgery, Spine, American Journal of Political Science and Research & 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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