Jurģis Šuba

582 total citations
9 papers, 212 citations indexed

About

Jurģis Šuba is a scholar working on Ecology, Ecology, Evolution, Behavior and Systematics and Paleontology. According to data from OpenAlex, Jurģis Šuba has authored 9 papers receiving a total of 212 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Ecology, 6 papers in Ecology, Evolution, Behavior and Systematics and 2 papers in Paleontology. Recurrent topics in Jurģis Šuba's work include Bat Biology and Ecology Studies (5 papers), Wildlife Ecology and Conservation (4 papers) and Animal Ecology and Behavior Studies (3 papers). Jurģis Šuba is often cited by papers focused on Bat Biology and Ecology Studies (5 papers), Wildlife Ecology and Conservation (4 papers) and Animal Ecology and Behavior Studies (3 papers). Jurģis Šuba collaborates with scholars based in Latvia, Slovakia and Finland. Jurģis Šuba's co-authors include Gunārs Pētersons, Christian C. Voigt, Oskars Keišs, Kamil S. Jaroň, Oleg L. Orlov, Hana Banďouchová, Jiří Brichta, Alena Kubátová, Jiří Pikula and Primož Presetnik and has published in prestigious journals such as Scientific Reports, Proceedings of the Royal Society B Biological Sciences and Sustainability.

In The Last Decade

Jurģis Šuba

9 papers receiving 207 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jurģis Šuba Latvia	6	156	119	66	57	26	9	212
Melissa B. Meierhofer United States	10	232 1.5×	100 0.8×	75 1.1×	107 1.9×	46 1.8×	24	264
Sergio Córdoba‐Córdoba Colombia	4	141 0.9×	121 1.0×	73 1.1×	25 0.4×	48 1.8×	13	273
Primož Presetnik Slovenia	7	193 1.2×	80 0.7×	89 1.3×	80 1.4×	58 2.2×	25	247
Alix E. Matthews United States	9	136 0.9×	142 1.2×	61 0.9×	41 0.7×	31 1.2×	26	300
Hana Berková Czechia	10	275 1.8×	88 0.7×	101 1.5×	145 2.5×	33 1.3×	18	316
Michael Abedi‐Lartey Germany	6	129 0.8×	138 1.2×	25 0.4×	31 0.5×	37 1.4×	8	249
Serena E. Dool Germany	9	160 1.0×	71 0.6×	92 1.4×	37 0.6×	86 3.3×	18	227
Benjamin Allegrini France	9	233 1.5×	132 1.1×	89 1.3×	33 0.6×	114 4.4×	13	293
Oskars Keišs Latvia	9	151 1.0×	190 1.6×	23 0.3×	88 1.5×	55 2.1×	20	316
Heather W. Mayberry Canada	9	236 1.5×	123 1.0×	86 1.3×	136 2.4×	9 0.3×	12	284

Countries citing papers authored by Jurģis Šuba

Since Specialization

Citations

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

Fields of papers citing papers by Jurģis Šuba

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jurģis Šuba

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

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

Šuba, Jurģis, et al.. (2023). Does Wolf Management in Latvia Decrease Livestock Depredation? An Analysis of Available Data. Sustainability. 15(11). 8509–8509. 3 indexed citations

Šuba, Jurģis, et al.. (2023). Properties and interpretation of the Skellam model—A discrete‐time contest competition population model. Population Ecology. 66(2). 115–122. 2 indexed citations

Šuba, Jurģis, et al.. (2021). Closer to Carrying Capacity: Analysis of the Internal Demographic Structure Associated with the Management and Density Dependence of a Controlled Wolf Population in Latvia. Sustainability. 13(17). 9783–9783. 7 indexed citations

Zukal, Jan, Hana Banďouchová, Jiří Brichta, et al.. (2016). White-nose syndrome without borders: Pseudogymnoascus destructans infection tolerated in Europe and Palearctic Asia but not in North America. Scientific Reports. 6(1). 19829–19829. 93 indexed citations

Bagrade, Guna, et al.. (2016). Status assessment of Eurasian lynx in Latvia linking genetics and demography—a growing population or a source–sink process?. Mammal Research. 61(4). 337–352. 12 indexed citations

Šuba, Jurģis, et al.. (2012). Fly-and-Forage Strategy in the Bat Pipistrellus nathusii During Autumn Migration. Acta Chiropterologica. 14(2). 379–379. 35 indexed citations

Voigt, Christian C., et al.. (2012). The insectivorous batPipistrellus nathusiiuses a mixed-fuel strategy to power autumn migration. Proceedings of the Royal Society B Biological Sciences. 279(1743). 3772–3778. 50 indexed citations

Šuba, Jurģis, et al.. (2010). Autumn swarming of the pond bat Myotis dasycneme at hibernation sites in Latvia; pp. 70–80. Proceedings of the Estonian Academy of Sciences Biology Ecology. 59(1). 70–80. 4 indexed citations

Šuba, Jurģis, et al.. (2002). Body weight provides insights into the feeding strategy of swarming bats.. Hystrix. 22(1). 24–24. 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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