Venera Gashaj

32 total papers · 670 total citations
18 papers, 425 citations indexed

About

Venera Gashaj is a scholar working on Developmental and Educational Psychology, Statistics and Probability and Education. According to data from OpenAlex, Venera Gashaj has authored 18 papers receiving a total of 425 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Developmental and Educational Psychology, 11 papers in Statistics and Probability and 7 papers in Education. Recurrent topics in Venera Gashaj's work include Cognitive and developmental aspects of mathematical skills (11 papers), Children's Physical and Motor Development (7 papers) and Reading and Literacy Development (6 papers). Venera Gashaj is often cited by papers focused on Cognitive and developmental aspects of mathematical skills (11 papers), Children's Physical and Motor Development (7 papers) and Reading and Literacy Development (6 papers). Venera Gashaj collaborates with scholars based in Switzerland, United Kingdom and Germany. Venera Gashaj's co-authors include Claudia M. Roebers, Fred W. Mast, Laura C. Dapp, Matthias Hartmann, Dragan Trninić, Manu Kapur, Anira Escrichs, Gustavo Deco, Carme Uribe and Laura Pritschet and has published in prestigious journals such as Cerebral Cortex, Journal of Experimental Psychology Human Perception & Performance and Frontiers in Neuroscience.

In The Last Decade

Venera Gashaj

17 papers receiving 415 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Venera Gashaj	266	139	132	91	87	18	425
Elizabeth A. Cottone	295 1.1×	271 1.9×	103 0.8×	97 1.1×	26 0.3×	11	468
Claudia Pagliaro	244 0.9×	88 0.6×	79 0.6×	33 0.4×	85 1.0×	28	430
Yao‐Chuen Li	287 1.1×	58 0.4×	29 0.2×	157 1.7×	70 0.8×	25	392
Laura A. Outhwaite	144 0.5×	256 1.8×	91 0.7×	60 0.7×	22 0.3×	23	409
Priska Hagmann-von Arx	123 0.5×	49 0.4×	28 0.2×	136 1.5×	121 1.4×	27	445
Sammy F. Ahmed	148 0.6×	236 1.7×	99 0.8×	43 0.5×	90 1.0×	20	486
Silvana M. R. Watson	173 0.7×	171 1.2×	107 0.8×	50 0.5×	67 0.8×	27	402
M.J. van der Molen	210 0.8×	68 0.5×	86 0.7×	22 0.2×	129 1.5×	15	479
Elisa Korhonen	165 0.6×	97 0.7×	23 0.2×	70 0.8×	14 0.2×	18	410
Casey Irwin Helvey	272 1.0×	232 1.7×	275 2.1×	21 0.2×	65 0.7×	13	423

Countries citing papers authored by Venera Gashaj

Since Specialization

Citations

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

Fields of papers citing papers by Venera Gashaj

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Venera Gashaj

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

All Works

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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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