Lars Otto

852 citations
12 papers · 610 · 1 hit paper · h-index 6

Impact in

Papers in

Lars Otto

11 papers receiving 586 citations

Lars Otto's Hit Papers

Benchmarking with DEA, SFA, and R 2010 · 555 citations
5550+5+10Years since publication100200300400500

Peers

Lars Otto
Comparison fields: 5 of 65
  • Management Science and Operations Research 481
  • Economics and Econometrics 58
  • General Agricultural and Biological Sciences 13
  • General Economics, Econometrics and Finance 14
  • Industrial and Manufacturing Engineering 14
Replace Po‐Chi Chen with:
Po‐Chi Chen Taiwan
Larry N. Langemeier United States
Eugenia Nissi Italy
Ole Bent Olesen Denmark
Kien C. Tran Canada
Milan Mihajlović Serbia
Dongliang Cai China
Thomas R. Nunamaker United States
Abdelaati Daouia France
David N. Nawrocki United States
Lars Otto relative to Po‐Chi Chen Taiwan Po‐Chi Chen's profile →
Citations per field
00.5×1.5×2×2.3×
Po‐Chi Chen · 1×
Citations per year

Countries citing papers authored by Lars Otto

Since Specialization
Citations

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

Fields of papers citing papers by Lars Otto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 2 scholars most cited alongside Lars Otto, 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 Lars Otto Line = papers co-authored together Lars Otto links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1
Benchmarking with DEA, SFA, and R
Hit paper breakdown →
2010555
2 200412
3 20109
4 20109
5 20106
6
Benchmarking with DEA, SFA, and R
20116
7 20105
8 20103
9 20102
10 20102
11
Konstruktion af erhvervsfordelte kapitaldata for Danmark
19871
12 20100

About Lars Otto

Lars Otto is a scholar working on Management Science and Operations Research, Statistics and Probability, Strategy and Management, Microbiology and Economics and Econometrics, having authored 12 papers that have together received 610 indexed citations. Recurring topics across this work include Efficiency Analysis Using DEA (10 papers), Statistical Methods and Applications (2 papers), Economic Theory and Policy (1 paper), Management and Optimization Techniques (1 paper), Economic Growth and Productivity (1 paper), Transport and Economic Policies (1 paper), Labor market dynamics and wage inequality (1 paper) and Merger and Competition Analysis (1 paper). The work is most often cited by research in Management Science and Operations Research (481 citations), Economics and Econometrics (58 citations), General Agricultural and Biological Sciences (13 citations), General Economics, Econometrics and Finance (14 citations) and Industrial and Manufacturing Engineering (14 citations). Lars Otto has collaborated with scholars based in Denmark. Frequent co-authors include Peter Bogetoft and Charlotte Sonne Kristensen. Their work appears in journals such as International series in management science/operations research/International series in operations research & management science, Preventive Veterinary Medicine, Nationaløkonomisk tidsskrift and Yunchou yu guanli.

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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