mw

4.3k citations
12 papers · 2.8k · 1 hit paper · h-index 9

Impact in

Papers in

mw

12 papers receiving 2.6k citations

mw's Hit Papers

Applied Econometric Time Series. 1995 · 1.9k citations
1.9k0+10+20Years since publication50010001.5k

Peers

mw
Comparison fields: 5 of 170
  • General Economics, Econometrics and Finance 870
  • Finance 539
  • Economics and Econometrics 1.3k
  • Management Science and Operations Research 311
  • Accounting 194
Replace Tsoung-Chao Lee with:
Tsoung-Chao Lee United States
Taku Yamamoto Japan
Jeffrey M. Perloff United States
Daniel J. Slottje United States
Marcus J. Chambers United Kingdom
R. Carter Hill United States
Peter Steffen Schmidt Germany
Jaime de Mélo Switzerland
David E. A. Giles Canada
Lung‐fei Lee United States
mw relative to Tsoung-Chao Lee United States Tsoung-Chao Lee's profile →
Citations per field
00.5×2×3×4×4.5×
Tsoung-Chao Lee · 1×
Citations per year

Countries citing papers authored by mw

Since Specialization
Citations

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

Fields of papers citing papers by mw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside mw, 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 mw Line = papers co-authored together mw links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1
Applied Econometric Time Series.
Hit paper breakdown →
19951949
2 1997492
3 1997162
4 199673
5 199653
6 199642
7 199837
8 199721
9 19989
10 19953
11
A PRACTICAL QUADRILATERAL MEMBRANE ELEMENT WITH DRILLING DEGREES OF FREEDOM
19972
12 19952

About mw

mw is a scholar working on Statistics, Probability and Uncertainty, Statistics and Probability, Finance, Civil and Structural Engineering and Mechanics of Materials, having authored 12 papers that have together received 2.8k indexed citations. Recurring topics across this work include Composite Structure Analysis and Optimization (1 paper), Stochastic processes and financial applications (1 paper), Economic theories and models (1 paper), Structural Analysis of Composite Materials (1 paper), Statistics Education and Methodologies (1 paper), Structural Analysis and Optimization (1 paper) and Advanced Statistical Process Monitoring (1 paper). The work is most often cited by research in General Economics, Econometrics and Finance (870 citations), Finance (539 citations), Economics and Econometrics (1.3k citations), Management Science and Operations Research (311 citations) and Accounting (194 citations) mw has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include Walter Enders, Ronald K. Hambleton, Wim J. van der Linden, A.R. Rennie, Martin A Baxter, Dale J. Poirier, Colin Aitken, Leslie Alec Hayduk, David R Boniface and Chen. Their work appears in journals such as Journal of the American Statistical Association, The American Statistician and 固体力学学报:英文版.

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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