William Weber

128 papers receiving 5.1k citations

William Weber's Hit Papers

A directional slacks-based measure of technical inefficiency 2009 · 713 citations
7130+7+14Years since publication250500750

Peers

William Weber
Comparison fields: 5 of 128
  • Management Science and Operations Research 2.8k
  • Music 546
  • Economics and Econometrics 3.3k
  • Finance 966
  • Environmental Engineering 1.1k
Replace W. Erwin Diewert with:
W. Erwin Diewert Canada
Pablo del Rı́o Spain
Stephen F. Witt United Kingdom
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Christina W.Y. Wong Hong Kong
David Newbery United Kingdom
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Shiuh-Nan Hwang Taiwan
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Citations per year

Countries citing papers authored by William Weber

Since Specialization
Citations

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

Fields of papers citing papers by William Weber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 147 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Characteristics of a polluting technology: theory and practice
Hit paper breakdown →
2004766
2
A directional slacks-based measure of technical inefficiency
Hit paper breakdown →
2009713
3 2009349
4 2005227
5 2005201
6 2004170
7 1997159
8 2012155
9 2004139
10 2014119
11 1976102
12 198996
13 200196
14 200893
15 200188
16 199986
17 199984
18 198781
19 200578
20 198573

About William Weber

William Weber is a scholar working on Economics and Econometrics, Management Science and Operations Research, Music, Finance and Political Science and International Relations, having authored 147 papers that have together received 5.7k indexed citations. Recurring topics across this work include Efficiency Analysis Using DEA (52 papers), Musicology and Musical Analysis (34 papers), Fiscal Policy and Economic Growth (20 papers), Banking stability, regulation, efficiency (17 papers), Historical Influence and Diplomacy (16 papers), Economic Growth and Productivity (12 papers), Music History and Culture (11 papers) and Economic and Environmental Valuation (10 papers). The work is most often cited by research in Management Science and Operations Research (2.8k citations), Music (546 citations), Economics and Econometrics (3.3k citations), Finance (966 citations) and Environmental Engineering (1.1k citations). William Weber has collaborated with scholars based in United States, Japan and Italy. Frequent co-authors include Hirofumi Fukuyama, Shawna Grosskopf, Rolf Färe, Bruce R. Domazlicky, Dong-Woon Noh, Kang H. Park, Lori L. Taylor, Kathy Hayes, Nicholas Temperley and John Neubauer. Their work appears in journals such as The American Historical Review, Common Knowledge, Journal of the Operational Research Society, Economics of Education Review and Journal of Productivity Analysis.

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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