Oskars Keišs

747 total citations
20 papers, 316 citations indexed

About

Oskars Keišs is a scholar working on Ecology, Ecology, Evolution, Behavior and Systematics and Infectious Diseases. According to data from OpenAlex, Oskars Keišs has authored 20 papers receiving a total of 316 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Ecology, 10 papers in Ecology, Evolution, Behavior and Systematics and 3 papers in Infectious Diseases. Recurrent topics in Oskars Keišs's work include Avian ecology and behavior (6 papers), Wildlife Ecology and Conservation (6 papers) and Bat Biology and Ecology Studies (4 papers). Oskars Keišs is often cited by papers focused on Avian ecology and behavior (6 papers), Wildlife Ecology and Conservation (6 papers) and Bat Biology and Ecology Studies (4 papers). Oskars Keišs collaborates with scholars based in Latvia, United Kingdom and Switzerland. Oskars Keišs's co-authors include Gunārs Pētersons, William O. C. Symondson, Elizabeth L. Clare, Jurģis Šuba, Renāte Ranka, Christian C. Voigt, Martins Briedis, Viesturs Baumanis, Kārlis Vilks and Jean Secondi and has published in prestigious journals such as Proceedings of the Royal Society B Biological Sciences, Molecular Ecology and Biological Conservation.

In The Last Decade

Oskars Keišs

20 papers receiving 309 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Oskars Keišs Latvia	9	190	151	92	88	55	20	316
Lars Korslund Norway	9	219 1.2×	121 0.8×	139 1.5×	146 1.7×	59 1.1×	21	429
Matthew B. Connior United States	10	232 1.2×	107 0.7×	84 0.9×	42 0.5×	28 0.5×	72	321
Thiago Borges Fernandes Semedo Brazil	10	145 0.8×	95 0.6×	96 1.0×	60 0.7×	38 0.7×	40	280
Caleb S. Spiegel United States	9	200 1.1×	103 0.7×	132 1.4×	42 0.5×	50 0.9×	12	313
Michael J. Skvarla United States	12	143 0.8×	323 2.1×	102 1.1×	69 0.8×	60 1.1×	62	512
Raoul F. H. Ribot Australia	11	177 0.9×	131 0.9×	45 0.5×	40 0.5×	33 0.6×	22	328
César A. Ríos-Muñóz Mexico	12	130 0.7×	105 0.7×	90 1.0×	50 0.6×	130 2.4×	39	361
Erik Tweed United States	7	262 1.4×	146 1.0×	161 1.8×	44 0.5×	68 1.2×	10	383
Alexandre Vogliotti Brazil	10	121 0.6×	68 0.5×	166 1.8×	120 1.4×	25 0.5×	31	311
M. Ángeles Hernández Spain	10	209 1.1×	135 0.9×	112 1.2×	37 0.4×	34 0.6×	54	356

Countries citing papers authored by Oskars Keišs

Since Specialization

Citations

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

Fields of papers citing papers by Oskars Keišs

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Oskars Keišs

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

All Works

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20 of 20 papers shown

Xu, Yanjie, Melissa B. Meierhofer, Jesper Madsen, et al.. (2025). Pathogenic bacterial taxa constitute a substantial portion of fecal microbiota in common migratory bats and birds in Europe. Microbiology Spectrum. 13(3). e0194824–e0194824. 1 indexed citations

Briedis, Martins, et al.. (2024). Haemosporidian parasites (Apicomplexa, Haemosporida) of breeding common starling Sturnus vulgaris in Latvia. Wildlife Biology. 2025(5). 1 indexed citations

Husby, Magne, et al.. (2024). Effective learning and testing of bird identification skills. Journal of Biological Education. 1–20. 1 indexed citations

Keišs, Oskars, et al.. (2023). Spring phenology is advancing at a faster rate than arrival times of Common Starling. Journal für Ornithologie. 164(2). 367–375. 1 indexed citations

Keišs, Oskars, et al.. (2023). Migration strategies, performance and annual activity budget in a short‐distance migrant, the common starling Sturnus vulgaris. Journal of Avian Biology. 2023(5-6). 14 indexed citations

Holland, Richard A., et al.. (2023). Migratory bats are sensitive to magnetic inclination changes during the compass calibration period. Biology Letters. 19(11). 20230181–20230181. 4 indexed citations

Keišs, Oskars, et al.. (2021). Funnel trap as a method for capture migrating bats in Pape, Latvia. Digital Commons - University of South Florida (University of South Florida). 19(1). 7–10. 3 indexed citations

Keišs, Oskars, et al.. (2018). Long-term population changes of high-bog avifauna in Latvia. 16(2). 137–142. 1 indexed citations

Fraixedas, Sara, Andreas Lindén, Åke Lindström, et al.. (2017). Substantial decline of Northern European peatland bird populations: Consequences of drainage. Biological Conservation. 214. 223–232. 48 indexed citations

10.

Fourcade, Yoan, David S. Richardson, Oskars Keišs, et al.. (2016). Corncrake conservation genetics at a European scale: The impact of biogeographical and anthropological processes. Biological Conservation. 198. 210–219. 12 indexed citations

11.

Koffijberg, Kees, et al.. (2016). Recent population status and trends of Corncrakes Crex crex in Europe. Data Archiving and Networked Services (DANS). 136. 75–87. 7 indexed citations

12.

Briedis, Martins & Oskars Keišs. (2015). Extracting historical population trends using archival ringing data—an example: the globally threatened Aquatic Warbler. Journal für Ornithologie. 157(2). 419–425. 11 indexed citations

13.

Keišs, Oskars, et al.. (2014). Detection of tick-borne encephalitis virus in I. ricinus ticks collected from autumn migratory birds in Latvia. Ticks and Tick-borne Diseases. 6(2). 178–180. 20 indexed citations

14.

Fourcade, Yoan, Oskars Keišs, David S. Richardson, & Jean Secondi. (2014). Continental‐scale patterns of pathogen prevalence: a case study on the corncrake. Evolutionary Applications. 7(9). 1043–1055. 16 indexed citations

15.

Keišs, Oskars, et al.. (2013). Prevalence of tick-borne pathogens in ticks collected from migratory birds in Latvia. Ticks and Tick-borne Diseases. 5(1). 75–81. 52 indexed citations

16.

Dueser, Raymond D., et al.. (2013). Overwater Movement of Raccoons (Procyon lotor) in a Naturally Fragmented Coastal Landscape. Northeastern Naturalist. 20(3). 511–528. 7 indexed citations

17.

Clare, Elizabeth L., et al.. (2013). Diet of the insectivorous batPipistrellus nathusiiduring autumn migration and summer residence. Molecular Ecology. 23(15). 3672–3683. 57 indexed citations

18.

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

19.

Keišs, Oskars, et al.. (2009). Onset of breeding in Tawny Owl Strix aluco in eastern Latvia. 5 indexed citations

20.

Keišs, Oskars, et al.. (2009). Method for identification of avian species by eggshell microstructure: preliminary study. 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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