Mette Asmild

2.4k total citations
44 papers, 1.8k citations indexed

About

Mette Asmild is a scholar working on Management Science and Operations Research, Economics and Econometrics and General Agricultural and Biological Sciences. According to data from OpenAlex, Mette Asmild has authored 44 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Management Science and Operations Research, 19 papers in Economics and Econometrics and 12 papers in General Agricultural and Biological Sciences. Recurrent topics in Mette Asmild's work include Efficiency Analysis Using DEA (36 papers), Economic and Environmental Valuation (10 papers) and Agricultural Innovations and Practices (7 papers). Mette Asmild is often cited by papers focused on Efficiency Analysis Using DEA (36 papers), Economic and Environmental Valuation (10 papers) and Agricultural Innovations and Practices (7 papers). Mette Asmild collaborates with scholars based in Denmark, United Kingdom and Canada. Mette Asmild's co-authors include Joseph C. Paradi, Jesús T. Pastor, Jens Leth Hougaard, Kent Matthews, Dorte Kronborg, C. A. Knox Lovell, Rasmus Nielsen, Helena Hansson, Tomas Baležentis and Gordana Manevska‐Tasevska and has published in prestigious journals such as European Journal of Operational Research, Ecological Economics and Aquaculture.

In The Last Decade

Mette Asmild

43 papers receiving 1.7k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mette Asmild Denmark 23 1.2k 783 247 217 209 44 1.8k
Peter Bogetoft Denmark 27 1.8k 1.5× 1.1k 1.5× 263 1.1× 427 2.0× 120 0.6× 116 2.7k
Suthathip Yaisawarng United States 15 1.5k 1.3× 1.6k 2.0× 382 1.5× 244 1.1× 205 1.0× 18 2.4k
Victor V. Podinovski United Kingdom 29 2.6k 2.2× 1.6k 2.1× 353 1.4× 280 1.3× 99 0.5× 69 3.2k
R. Allen United Kingdom 5 1.6k 1.3× 882 1.1× 186 0.8× 192 0.9× 84 0.4× 5 1.9k
Estelle Shale United Kingdom 10 1.4k 1.2× 779 1.0× 161 0.7× 191 0.9× 120 0.6× 14 1.8k
Kristiaan Kerstens France 30 2.0k 1.7× 1.9k 2.4× 480 1.9× 305 1.4× 143 0.7× 105 3.0k
Juan Aparicio Spain 30 1.8k 1.5× 1.1k 1.4× 139 0.6× 179 0.8× 76 0.4× 147 2.6k
Lennart Hjalmarsson Sweden 24 1.5k 1.2× 1.2k 1.5× 383 1.6× 307 1.4× 221 1.1× 35 2.1k
Biresh K. Sahoo India 22 1.1k 0.9× 949 1.2× 182 0.7× 127 0.6× 95 0.5× 58 1.5k
Valentin Zelenyuk Australia 26 1.3k 1.1× 1.2k 1.5× 371 1.5× 136 0.6× 177 0.8× 83 1.8k

Countries citing papers authored by Mette Asmild

Since Specialization
Citations

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

Fields of papers citing papers by Mette Asmild

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mette Asmild

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

All Works

20 of 20 papers shown
1.
Asmild, Mette, et al.. (2025). Enhancing Cost Efficiency Estimates with Trade-offs for Improved Reallocation Processes. Journal of Productivity Analysis. 64(1). 93–111. 1 indexed citations
2.
Asmild, Mette, et al.. (2023). Identifying the most important set of weights when modelling bad outputs with the weak disposability approach. European Journal of Operational Research. 310(2). 751–759. 4 indexed citations
3.
Hansen, Henning Otte & Mette Asmild. (2023). Women's participation on the boards of farmer-owned cooperatives. Frontiers in Veterinary Science. 10. 1060817–1060817. 1 indexed citations
4.
Asmild, Mette, et al.. (2022). Implications of aggregation uncertainty in Data Envelopment Analysis: An application in incentive regulation. Decision Analytics Journal. 4. 100103–100103. 3 indexed citations
5.
Asmild, Mette, et al.. (2021). Inefficiency patterns in family-owned banks in Bangladesh. Journal of Economic Studies. 49(1). 198–212. 5 indexed citations
6.
Manevska‐Tasevska, Gordana, Helena Hansson, Mette Asmild, & Yves Surry. (2020). Exploring the regional efficiency of the Swedish agricultural sector during the CAP reforms ‒ multi-directional efficiency analysis approach. Land Use Policy. 100. 104897–104897. 14 indexed citations
7.
Rahman, Md Takibur, Rasmus Nielsen, Md. Akhtaruzzaman Khan, & Mette Asmild. (2019). Efficiency and production environmental heterogeneity in aquaculture: A meta-frontier DEA approach. Aquaculture. 509. 140–148. 60 indexed citations
8.
Asmild, Mette, et al.. (2018). The efficiency patterns of Islamic banks during the global financial crisis: The case of Bangladesh. The Quarterly Review of Economics and Finance. 74. 67–74. 34 indexed citations
9.
Asmild, Mette, Tomas Baležentis, & Jens Leth Hougaard. (2016). Multi-directional productivity change: MEA-Malmquist. Journal of Productivity Analysis. 46(2-3). 109–119. 16 indexed citations
10.
Asmild, Mette, Dorte Kronborg, & Kent Matthews. (2015). Introducing and modeling inefficiency contributions. European Journal of Operational Research. 248(2). 725–730. 6 indexed citations
11.
Asmild, Mette, Bruce Hollingsworth, & Stephen Birch. (2013). The scale of hospital production in different settings: one size does not fit all. Journal of Productivity Analysis. 40(2). 197–206. 28 indexed citations
12.
Asmild, Mette, et al.. (2012). Banking efficiency analysis under corporate social responsibilities. Research at the University of Copenhagen (University of Copenhagen). 4(2). 146–146. 13 indexed citations
13.
Asmild, Mette, Peter Bogetoft, & Jens Leth Hougaard. (2012). Rationalising inefficiency: Staff utilisation in branches of a large Canadian bank. Omega. 41(1). 80–87. 20 indexed citations
14.
Asmild, Mette, et al.. (2009). Railway reforms: do they influence operating efficiency?. Transportation. 36(5). 617–638. 53 indexed citations
15.
Asmild, Mette & Jesús T. Pastor. (2009). Slack free MEA and RDM with comprehensive efficiency measures. Omega. 38(6). 475–483. 56 indexed citations
16.
Asmild, Mette, et al.. (2007). Estimating global frontier shifts and global Malmquist indices. Journal of Productivity Analysis. 27(2). 137–148. 48 indexed citations
17.
Asmild, Mette & Joseph C. Paradi. (2007). Introduction to a Special Issue on Productivity Measurement if Complex Services Industries. Journal of Productivity Analysis. 27(2). 85–86.
18.
Paradi, Joseph C., et al.. (2005). ASSESSING FINANCIAL RISK TOLERANCE OF PORTFOLIO INVESTORS USING DATA ENVELOPMENT ANALYSIS. International Journal of Information Technology & Decision Making. 4(3). 491–519. 30 indexed citations
19.
Asmild, Mette, et al.. (2004). Theoretical perspectives of trade-off analysis using DEA. Omega. 34(4). 337–343. 31 indexed citations
20.
Asmild, Mette, et al.. (2004). Combining DEA Window Analysis with the Malmquist Index Approach in a Study of the Canadian Banking Industry. Journal of Productivity Analysis. 21(1). 67–89. 310 indexed citations

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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