Bistra Dilkina

4.8k total citations · 1 hit paper
94 papers, 1.9k citations indexed

About

Bistra Dilkina is a scholar working on Global and Planetary Change, Artificial Intelligence and Ecology. According to data from OpenAlex, Bistra Dilkina has authored 94 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Global and Planetary Change, 19 papers in Artificial Intelligence and 18 papers in Ecology. Recurrent topics in Bistra Dilkina's work include Wildlife Ecology and Conservation (15 papers), Wildlife-Road Interactions and Conservation (7 papers) and Constraint Satisfaction and Optimization (7 papers). Bistra Dilkina is often cited by papers focused on Wildlife Ecology and Conservation (15 papers), Wildlife-Road Interactions and Conservation (7 papers) and Constraint Satisfaction and Optimization (7 papers). Bistra Dilkina collaborates with scholars based in United States, United Kingdom and Canada. Bistra Dilkina's co-authors include Caleb Robinson, Elias B. Khalil, Marilyn A. Brown, Subhrajit Guhathakurta, Ram M. Pendyala, Wenwen Zhang, Le Song, Milind Tambe, George L. Nemhauser and Bryan Wilder and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Water Research.

In The Last Decade

Bistra Dilkina

84 papers receiving 1.8k citations

Hit Papers

Machine learning approach... 2017 2026 2020 2023 2017 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Bistra Dilkina United States 22 357 296 263 248 216 94 1.9k
Abolghasem Sadeghi‐Niaraki South Korea 28 183 0.5× 282 1.0× 169 0.6× 434 1.8× 119 0.6× 157 2.8k
Patrick Weber Germany 7 333 0.9× 207 0.7× 397 1.5× 222 0.9× 106 0.5× 24 2.2k
Hong Zhang China 29 521 1.5× 435 1.5× 190 0.7× 109 0.4× 146 0.7× 146 2.8k
Nico Van de Weghe Belgium 32 371 1.0× 176 0.6× 183 0.7× 124 0.5× 164 0.8× 172 3.6k
Xun Zhou United States 26 521 1.5× 484 1.6× 298 1.1× 214 0.9× 58 0.3× 119 2.4k
Pablo Martı́nez Canada 21 417 1.2× 214 0.7× 87 0.3× 651 2.6× 388 1.8× 106 3.0k
Peter Mooney Ireland 28 223 0.6× 303 1.0× 82 0.3× 202 0.8× 181 0.8× 118 2.8k
Samsung Lim Australia 28 254 0.7× 140 0.5× 146 0.6× 442 1.8× 273 1.3× 152 2.3k
Joon Heo South Korea 26 454 1.3× 160 0.5× 241 0.9× 726 2.9× 278 1.3× 150 2.2k
Ioannis N. Athanasiadis Netherlands 32 109 0.3× 450 1.5× 138 0.5× 329 1.3× 394 1.8× 151 3.5k

Countries citing papers authored by Bistra Dilkina

Since Specialization
Citations

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

Fields of papers citing papers by Bistra Dilkina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bistra Dilkina

This figure shows the co-authorship network connecting the top 25 collaborators of Bistra Dilkina. A scholar is included among the top collaborators of Bistra Dilkina based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Bistra Dilkina. Bistra Dilkina is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Davis, Jordan P., Daniel Leightley, Eric R. Pedersen, et al.. (2025). Daily associations between sleep quality, stress, and cannabis or alcohol use among veterans. Drug and Alcohol Dependence. 271. 112661–112661.
2.
Tadesse, Girmaw Abebe, Laura Ferguson, Caleb Robinson, et al.. (2025). Forecasting acute childhood malnutrition in Kenya using machine learning and diverse sets of indicators. PLoS ONE. 20(5). e0322959–e0322959.
4.
Dilkina, Bistra, et al.. (2023). MegaSDM: Modelling Species Ranges in The Past And Future. 60(2). 115–115.
5.
Durham, Joseph W., et al.. (2023). Deadline-Aware Multi-Agent Tour Planning. Proceedings of the International Conference on Automated Planning and Scheduling. 33(1). 189–197. 2 indexed citations
6.
Albers, Heidi J., Charlotte H. Chang, Sahan T. M. Dissanayake, et al.. (2023). Anticipating anthropogenic threats in acquiring new protected areas. Conservation Biology. 38(2). e14176–e14176. 1 indexed citations
7.
Gore, Meredith L., et al.. (2023). Advancing interdisciplinary science for disrupting wildlife trafficking networks. Proceedings of the National Academy of Sciences. 120(10). e2208268120–e2208268120. 8 indexed citations
8.
Keskin, Burcu B., et al.. (2022). Quantitative Investigation of Wildlife Trafficking Supply Chains: A Review. Omega. 115. 102780–102780. 28 indexed citations
9.
Dilkina, Bistra, et al.. (2021). Learning Node-Selection Strategies in Bounded-Suboptimal Conflict-Based Search for Multi-Agent Path Finding. Autonomous Agents and Multi-Agent Systems. 611–619. 10 indexed citations
10.
Robinson, Caleb, Bistra Dilkina, & Juan Moreno‐Cruz. (2020). Modeling migration patterns in the USA under sea level rise. PLoS ONE. 15(1). e0227436–e0227436. 53 indexed citations
11.
Bondi, Elizabeth, Hoon Oh, Haifeng Xu, et al.. (2019). Broken Signals in Security Games: Coordinating Patrollers and Sensors in the Real World. 1838–1840. 1 indexed citations
12.
Wilder, Bryan, et al.. (2019). End to end learning and optimization on graphs. arXiv (Cornell University). 32. 4672–4683. 5 indexed citations
13.
Wilder, Bryan, et al.. (2019). Decision-Focused Learning of Adversary Behavior in Security Games. arXiv (Cornell University). 1 indexed citations
14.
Bondi, Elizabeth, Hoon Oh, Haifeng Xu, et al.. (2019). Using Game Theory in Real Time in the Real World: A Conservation Case Study. Adaptive Agents and Multi-Agents Systems. 2336–2338. 2 indexed citations
15.
Gholami, Shahrzad, et al.. (2019). Don't Put All Your Strategies in One Basket: Playing Green Security Games with Imperfect Prior Knowledge. ePrints Soton (University of Southampton). 395–403. 4 indexed citations
16.
Lu, Zhongming, et al.. (2019). Decentralized water collection systems for households and communities: Household preferences in Atlanta and Boston. Water Research. 167. 115134–115134. 35 indexed citations
17.
Gholami, Shahrzad, Bistra Dilkina, Andrew J. Plumptre, et al.. (2018). Adversary Models Account for Imperfect Crime Data: Forecasting and Planning against Real-world Poachers. Adaptive Agents and Multi-Agents Systems. 823–831. 12 indexed citations
18.
Dilkina, Bistra, et al.. (2015). Coarse Models for Bird Migrations Using Clustering and Non-Stationary Markov Chains.. National Conference on Artificial Intelligence. 2 indexed citations
19.
Dilkina, Bistra, et al.. (2015). Sustainable Building Design: A Challenge at the Intersection of Machine Learning and Design Optimization. National Conference on Artificial Intelligence. 12 indexed citations
20.
Dilkina, Bistra, Carla P. Gomes, & Ashish Sabharwal. (2007). The impact of network topology on pure Nash equilibria in graphical games. National Conference on Artificial Intelligence. 42–49. 5 indexed citations

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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