Mandana Saebi

411 total citations
11 papers, 222 citations indexed

About

Mandana Saebi is a scholar working on Artificial Intelligence, Global and Planetary Change and Ecology. According to data from OpenAlex, Mandana Saebi has authored 11 papers receiving a total of 222 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 5 papers in Global and Planetary Change and 4 papers in Ecology. Recurrent topics in Mandana Saebi's work include Marine Ecology and Invasive Species (5 papers), Parasite Biology and Host Interactions (3 papers) and Advanced Graph Neural Networks (3 papers). Mandana Saebi is often cited by papers focused on Marine Ecology and Invasive Species (5 papers), Parasite Biology and Host Interactions (3 papers) and Advanced Graph Neural Networks (3 papers). Mandana Saebi collaborates with scholars based in United States, Sweden and Hong Kong. Mandana Saebi's co-authors include Nitesh V. Chawla, Erin K. Grey, Lance Kaplan, Jian Xu, David M. Lodge, James J. Corbett, Thierry Kogej, A. Zuranski, Zhichun Guo and Jian Xu and has published in prestigious journals such as Environmental Science & Technology, PLoS ONE and Journal of Environmental Management.

In The Last Decade

Mandana Saebi

10 papers receiving 216 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mandana Saebi United States	9	62	52	51	45	40	11	222
Maria d’Errico Italy	9	51 0.8×	5 0.1×	80 1.6×	39 0.9×	139 3.5×	17	449
Motohisa Fukuda Japan	7	7 0.1×	29 0.6×	85 1.7×	17 0.4×	9 0.2×	17	239
Bowei Yan China	10	33 0.5×	11 0.2×	44 0.9×	147 3.3×	153 3.8×	20	328
Marcin Mucha Poland	7	6 0.1×	12 0.2×	46 0.9×	142 3.2×	25 0.6×	32	286
Paul A. Gray United States	11	65 1.0×	6 0.1×	18 0.4×	33 0.7×	38 0.9×	32	333
Duc Nghia Pham Australia	11	13 0.2×	19 0.4×	122 2.4×	79 1.8×	51 1.3×	31	330
Andrew Richards United Kingdom	9	12 0.2×	7 0.1×	29 0.6×	7 0.2×	14 0.3×	22	321
Roberto Visintainer Italy	6	4 0.1×	9 0.2×	35 0.7×	13 0.3×	86 2.1×	12	229
Pengfei Wu China	11	87 1.4×	28 0.5×	164 3.2×	10 0.2×	12 0.3×	53	444
Zhixiang Wu China	10	12 0.2×	8 0.2×	44 0.9×	5 0.1×	116 2.9×	35	325

Countries citing papers authored by Mandana Saebi

Since Specialization

Citations

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

Fields of papers citing papers by Mandana Saebi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mandana Saebi

This figure shows the co-authorship network connecting the top 25 collaborators of Mandana Saebi. A scholar is included among the top collaborators of Mandana Saebi 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 Mandana Saebi. Mandana Saebi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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11 of 11 papers shown

Saebi, Mandana, John E. Herr, Zhichun Guo, et al.. (2023). On the use of real-world datasets for reaction yield prediction. Chemical Science. 14(19). 4997–5005. 80 indexed citations

Saebi, Mandana, et al.. (2022). Heterogeneous relational reasoning in knowledge graphs with reinforcement learning. Information Fusion. 88. 12–21. 9 indexed citations

Saebi, Mandana, Erin K. Grey, James J. Corbett, et al.. (2022). Ballast water-mediated species spread risk dynamics and policy implications to reduce the invasion risk to the Mediterranean Sea. Marine Pollution Bulletin. 174. 113285–113285. 8 indexed citations

Countryman, Amanda M., et al.. (2021). Economic and environmental impacts of ballast water management on Small Island Developing States and Least Developed Countries. Journal of Environmental Management. 301. 113779–113779.

Saebi, Mandana, et al.. (2021). Integrated Biological Risk and Cost Model Analysis Supports a Geopolitical Shift in Ballast Water Management. Environmental Science & Technology. 55(19). 12791–12800. 8 indexed citations

Zhang, Chuxu, Lu Yu, Mandana Saebi, Meng Jiang, & Nitesh V. Chawla. (2020). Few-Shot Multi-Hop Relation Reasoning over Knowledge Bases. King Abdullah University of Science and Technology Repository (King Abdullah University of Science and Technology). 580–585. 15 indexed citations

Saebi, Mandana, Giovanni Luca Ciampaglia, Lance Kaplan, & Nitesh V. Chawla. (2020). HONEM: Learning Embedding for Higher Order Networks. Big Data. 8(4). 255–269. 12 indexed citations

Chawla, Nitesh V., David M. Lodge, Erin K. Grey, et al.. (2020). Network analysis of ballast-mediated species transfer reveals important introduction and dispersal patterns in the Arctic. Figshare. 20 indexed citations

Saebi, Mandana, Jian Xu, Erin K. Grey, et al.. (2020). Higher-order patterns of aquatic species spread through the global shipping network. PLoS ONE. 15(7). e0220353–e0220353. 37 indexed citations

10.

Saebi, Mandana, Jian Xu, Lance Kaplan, Bruno Ribeiro, & Nitesh V. Chawla. (2020). Efficient modeling of higher-order dependencies in networks: from algorithm to application for anomaly detection. EPJ Data Science. 9(1). 27 indexed citations

11.

Xu, Jian, Mandana Saebi, Bruno Ribeiro, Lance Kaplan, & Nitesh V. Chawla. (2017). Detecting Anomalies in Sequential Data with Higher-order Networks.. 6 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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