Dmitry Podkopaev

28 papers receiving 864 citations

Peers

Dmitry Podkopaev
Comparison fields: 5 of 102
  • Global and Planetary Change 379
  • Insect Science 182
  • Management Science and Operations Research 156
  • Nature and Landscape Conservation 143
  • Computational Theory and Mathematics 167
Replace Vladimir A. Bushenkov with:
Vladimir A. Bushenkov Portugal
Jeffrey L. Arthur United States
Hans Rudolf Heinimann Switzerland
Jacinto González‐Pachón Spain
Markus Hartikainen Finland
Peter Hollingsworth United Kingdom
Eldon A. Gunn Canada
Shiming Li China
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Citations per year

Countries citing papers authored by Dmitry Podkopaev

Since Specialization
Citations

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

Fields of papers citing papers by Dmitry Podkopaev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Dmitry Podkopaev, 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 Dmitry Podkopaev Line = papers co-authored together Dmitry Podkopaev links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016166
2 2014162
3 2016139
4 201591
5 201675
6 200262
7 201136
8 201628
9 201024
10 201721
11 201615
12 201613
13 201510
14 20159
15 20159
16 20228
17 20156
18 19966
19 20206
20
An approach to finding trade-off solutions by a linear transformation of objective functions
20075

About Dmitry Podkopaev

Dmitry Podkopaev is a scholar working on Computational Theory and Mathematics, Management Science and Operations Research, Artificial Intelligence, Control and Systems Engineering and Global and Planetary Change, having authored 29 papers that have together received 907 indexed citations. Recurring topics across this work include Advanced Multi-Objective Optimization Algorithms (9 papers), Forest Management and Policy (6 papers), Multi-Criteria Decision Making (5 papers), Optimization and Mathematical Programming (4 papers), Metaheuristic Optimization Algorithms Research (4 papers), Land Use and Ecosystem Services (3 papers), Forest Ecology and Biodiversity Studies (3 papers) and Scheduling and Optimization Algorithms (3 papers). The work is most often cited by research in Global and Planetary Change (379 citations), Insect Science (182 citations), Management Science and Operations Research (156 citations), Nature and Landscape Conservation (143 citations) and Computational Theory and Mathematics (167 citations). Dmitry Podkopaev has collaborated with scholars based in Poland, Finland and Belarus. Frequent co-authors include Ignacy Kaliszewski, Kaisa Miettinen, Mikko Mönkkönen, Adriano Mazziotta, Artti Juutinen, María Triviño, Pasi Reunanen, Vladimir Emelichev, Jussi Hakanen and Tähti Pohjanmies. Their work appears in journals such as International series in management science/operations research/International series in operations research & management science, Silva Fennica, Journal of Global Optimization, Expert Systems with Applications and International Transactions in Operational Research.

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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