Mitja Kovač

36 papers receiving 213 citations

Peers

Mitja Kovač
Comparison fields: 5 of 79
  • Animal Science and Zoology 45
  • Agronomy and Crop Science 29
  • Modeling and Simulation 12
  • Economics and Econometrics 66
  • Business and International Management 3
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Andrew G. Biggs United States
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Ting Zhao China
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Stanley F Kelley United States
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Countries citing papers authored by Mitja Kovač

Since Specialization
Citations

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

Fields of papers citing papers by Mitja Kovač

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202028
2 201522
3 201019
4 201218
5 200915
6 198914
7 202011
8 198811
9 20208
10
Analysis of test day milk yield by random regression models and evaluation of persistency in Iranian dairy cows.
20136
11 20206
12 20226
13 20235
14 20165
15 20195
16 20215
17
GENETIC PARAMETERS WITH TEST-DAY MODEL IN SLOVENIAN DAIRY SHEEP
20044
18 20244
19 20194
20 20193

About Mitja Kovač

Mitja Kovač is a scholar working on Economics and Econometrics, Law, Sociology and Political Science, Political Science and International Relations and Genetics, having authored 43 papers that have together received 234 indexed citations. Recurring topics across this work include Law, Economics, and Judicial Systems (9 papers), European and International Contract Law (7 papers), Culture, Economy, and Development Studies (5 papers), Genetic and phenotypic traits in livestock (4 papers), Intellectual Property and Patents (4 papers), Corruption and Economic Development (4 papers), Legal principles and applications (3 papers) and Innovation Policy and R&D (3 papers). The work is most often cited by research in Animal Science and Zoology (45 citations), Agronomy and Crop Science (29 citations), Modeling and Simulation (12 citations), Economics and Econometrics (66 citations) and Business and International Management (3 citations). Mitja Kovač has collaborated with scholars based in Slovenia, Netherlands and United States. Frequent co-authors include Rok Spruk, Gregor Gorjanc, D. Kompan, G. Lahajnar, V. Rutar, Špela Pezdevšek Malovrh, Alenka Levart, Gábor Mészáros, Mohammadreza Nassiri and Johann Sölkner. Their work appears in journals such as International Review of Law and Economics, European Journal of Risk Regulation, The Journal of World Intellectual Property, Journal of Institutional Economics and Zeitschrift für schweizerische Statistik und Volkswirtschaft/Schweizerische Zeitschrift für Volkswirtschaft und Statistik/Swiss journal of economics and statistics.

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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