Daniela A. Miteva

5.8k citations
54 papers · 1.5k · h-index 18

Impact in

Papers in

Daniela A. Miteva

47 papers receiving 1.4k citations

Peers

Daniela A. Miteva
Comparison fields: 5 of 116
  • Global and Planetary Change 942
  • Economics and Econometrics 482
  • Management, Monitoring, Policy and Law 214
  • General Agricultural and Biological Sciences 139
  • Ecology 300
Replace Maria DiGiano with:
Maria DiGiano United States
S. Wertz-Kanounnikoff Indonesia
Andréa Aguiar Azevedo Brazil
Jon C. Lovett United Kingdom
Robert Heilmayr United States
Driss Ezzine‐de‐Blas France
Márcio Santilli Brazil
Roland Olschewski Switzerland
Kelly W. Jones United States
Bartosz Bartkowski Germany
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Citations per field
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Citations per year

Countries citing papers authored by Daniela A. Miteva

Since Specialization
Citations

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

Fields of papers citing papers by Daniela A. Miteva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniela A. Miteva. 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 Daniela A. Miteva. The network helps show where Daniela A. Miteva may publish in the future.

Co-authors

The 25 scholars most cited alongside Daniela A. Miteva, 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 Daniela A. Miteva Line = papers co-authored together Daniela A. Miteva links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012274
2 2017150
3 2013142
4 2015120
5 2016107
6 201597
7 201567
8 201764
9 201652
10 201941
11 202034
12 201926
13 202224
14 201423
15 201221
16 200819
17 201719
18 201518
19 202017
20 201715

About Daniela A. Miteva

Daniela A. Miteva is a scholar working on Global and Planetary Change, Economics and Econometrics, Food Science, Animal Science and Zoology and Molecular Biology, having authored 54 papers that have together received 1.5k indexed citations. Recurring topics across this work include Conservation, Biodiversity, and Resource Management (22 papers), Economic and Environmental Valuation (13 papers), Meat and Animal Product Quality (9 papers), Forest Management and Policy (9 papers), Food Industry and Aquatic Biology (7 papers), Global trade, sustainability, and social impact (5 papers), Oil Palm Production and Sustainability (5 papers) and Animal Nutrition and Physiology (4 papers). The work is most often cited by research in Global and Planetary Change (942 citations), Economics and Econometrics (482 citations), Management, Monitoring, Policy and Law (214 citations), General Agricultural and Biological Sciences (139 citations) and Ecology (300 citations). Daniela A. Miteva has collaborated with scholars based in United States, Bulgaria and United Kingdom. Frequent co-authors include Subhrendu K. Pattanayak, Paul J. Ferraro, Colby Loucks, Merlin M. Hanauer, Katharine R. E. Sims, Gustavo Canavire‐Bacarreza, Christoph Nolte, Brian C. Murray, William D. Sunderlin and Leandro Baumgarten. Their work appears in journals such as PLoS ONE, American Journal of Agricultural Economics, Oxford Review of Economic Policy, Environmental Research Letters and Ecological Economics.

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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