Nikolay Markov
Impact in
- Small Animals top 2%
- Animal Behavior and Welfare Studies
- Ecological Modeling top 5%
- Species Distribution and Climate Change
Papers in
- Co-authors
- Nikica Šprem (2 shared papers)Dragan Gačić (1 shared paper)Jonas Kindberg (1 shared paper)Carme Rosell (1 shared paper)Jiřı́ Kamler (1 shared paper)Tomasz Podgórski (1 shared paper)Jānis Ozoliņš (1 shared paper)Éric Baubet (1 shared paper)
- Journals
- Ecology and Evolution (2 papers)BMC Genetics (2 papers)Mammal Review (1 paper)Economics of Transition (1 paper)Journal of Biogeography (1 paper)
- Partner nations
- RussiaSwitzerlandUnited Kingdom
In The Last Decade
Nikolay Markov
29 papers receiving 909 citations
Nikolay Markov's Hit Papers
Peers
Comparison fields: 5 of 90
- Small Animals 180
- Ecological Modeling 93
- Ecology 523
- Agronomy and Crop Science 164
- Genetics 287
Countries citing papers authored by Nikolay Markov
This map shows the geographic impact of Nikolay Markov'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 Nikolay Markov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nikolay Markov more than expected).
Fields of papers citing papers by Nikolay Markov
This network shows the impact of papers produced by Nikolay Markov. 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 Nikolay Markov. The network helps show where Nikolay Markov may publish in the future.
Co-authors
The 25 scholars most cited alongside Nikolay Markov, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Wild boar populations up, numbers of hunters down? A review of trends and implications for Europe Hit paper breakdown → | 2014 | 561 |
| 2 | 2006 | 76 | |
| 3 | 2019 | 38 | |
| 4 | 2014 | 36 | |
| 5 | 2022 | 31 | |
| 6 | 2017 | 26 | |
| 7 | 2020 | 22 | |
| 8 | 2015 | 21 | |
| 9 | 2004 | 17 | |
| 10 | 2006 | 16 | |
| 11 | 2019 | 16 | |
| 12 | 2004 | 12 | |
| 13 | 2018 | 12 | |
| 14 | 2016 | 11 | |
| 15 | 2011 | 9 | |
| 16 | 2012 | 6 | |
| 17 | 2022 | 6 | |
| 18 | 2002 | 6 | |
| 19 | 2006 | 5 | |
| 20 | 2001 | 4 |
About Nikolay Markov
Nikolay Markov is a scholar working on Ecology, Genetics, Economics and Econometrics, General Economics, Econometrics and Finance and Ecological Modeling, having authored 31 papers that have together received 945 indexed citations. Recurring topics across this work include Wildlife Ecology and Conservation (15 papers), Genetic diversity and population structure (9 papers), Ecology and biodiversity studies (8 papers), Genetic and phenotypic traits in livestock (6 papers), Species Distribution and Climate Change (5 papers), Monetary Policy and Economic Impact (5 papers), Fiscal Policies and Political Economy (4 papers) and Fiscal Policy and Economic Growth (2 papers). The work is most often cited by research in Small Animals (180 citations), Ecological Modeling (93 citations), Ecology (523 citations), Agronomy and Crop Science (164 citations) and Genetics (287 citations). Nikolay Markov has collaborated with scholars based in Russia, Switzerland and United Kingdom. Frequent co-authors include Nikica Šprem, Dragan Gačić, Jonas Kindberg, Carme Rosell, Jiřı́ Kamler, Tomasz Podgórski, Jānis Ozoliņš, Éric Baubet, Sandra Cellina and András Náhlik. Their work appears in journals such as Ecology and Evolution, BMC Genetics, Mammal Review, Economics of Transition and Journal of Biogeography.
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.