Daniel Primont

2.9k citations
37 papers · 1.9k indexed · 1 hit paper · h-index 16

Daniel Primont

36 papers receiving 1.7k citations

Hit Papers

Multi-Output Production and Duality: Theory and Applications9121995202620052015250500750

Peers

Daniel Primont
Comparison fields: 5 of 90
  • Management Science and Operations Research 982
  • Economics and Econometrics 1.4k
  • General Economics, Econometrics and Finance 367
  • General Decision Sciences 53
  • General Agricultural and Biological Sciences 179
Replace Cliff J. Huang with:
Cliff J. Huang United States
Ronald W. Shephard United States
Larry S. Karp United States
Walter Briec France
Kristiaan Kerstens France
Harvey E. Lapan United States
Bert M. Balk Netherlands
Giora Hanoch Israel
Sten Malmquist
Ragnar Frisch Norway
Daniel Primont relative to Cliff J. Huang United States Cliff J. Huang's profile →
Citations per field
00.5×1.5×2.1×
Cliff J. Huang · 1×
Citations per year

Countries citing papers authored by Daniel Primont

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Primont

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 10 scholars most cited alongside Daniel Primont, 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 Daniel Primont Line = papers co-authored together Daniel Primont links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20193
2 200523
3 200333
4 200345
5
Inada Conditions and the Law of Diminishing Returns
200113
6 199621
7 19954
8
Multi-Output Production and Duality: Theory and Applicationsbreakdown →
1995912
9 199416
10 19934
11 199314
12 19915
13 19866
14 198465
15 19817
16 198010
17 197724
18 1977100
19 19746
20 197352

About Daniel Primont

Daniel Primont is a scholar working on Management Science and Operations Research, General Economics, Econometrics and Finance and General Decision Sciences, having authored 37 papers that have together received 1.9k indexed citations. Recurring topics across this work include Efficiency Analysis Using DEA (14 papers), Economic theories and models (12 papers), Economic Growth and Productivity (7 papers), Monetary Policy and Economic Impact (5 papers), Economics of Agriculture and Food Markets (3 papers), Fiscal Policy and Economic Growth (3 papers), Global trade and economics (3 papers) and Firm Innovation and Growth (3 papers). The work is most often cited by research in Management Science and Operations Research (982 citations), Economics and Econometrics (1.4k citations) and General Economics, Econometrics and Finance (367 citations). Daniel Primont has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Rolf Färe, Charles Blackorby, R. Robert Russell, Scott E. Atkinson, Shawna Grosskopf, Efthymios G. Tsionas, T. M. Mitchell, Karl Shell, Franklin M. Fisher and William Weber. Their work appears in journals such as Journal of Productivity Analysis, Journal of Economic Theory, Journal of Econometrics, Economic Theory and Econometrica.

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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