Bianca Premo

41 total papers · 631 total citations
19 papers, 194 citations indexed

About

Bianca Premo is a scholar working on Demography, Anthropology and Political Science and International Relations. According to data from OpenAlex, Bianca Premo has authored 19 papers receiving a total of 194 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Demography, 11 papers in Anthropology and 9 papers in Political Science and International Relations. Recurrent topics in Bianca Premo's work include Historical Studies in Latin America (12 papers), Colonialism, slavery, and trade (11 papers) and Latin American history and culture (7 papers). Bianca Premo is often cited by papers focused on Historical Studies in Latin America (12 papers), Colonialism, slavery, and trade (11 papers) and Latin American history and culture (7 papers). Bianca Premo collaborates with scholars based in United States, India and Ireland. Bianca Premo's co-authors include Yanna Yannakakis and has published in prestigious journals such as The American Historical Review, Hispanic American Historical Review and Comparative Studies in Society and History.

In The Last Decade

Bianca Premo

17 papers receiving 131 citations

Author Peers

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

Author						Papers	Cites
Bianca Premo	109	70	60	55	49	19	194
Susan Deans‐Smith	80 0.7×	77 1.1×	81 1.4×	73 1.3×	57 1.2×	24	256
Kathryn Burns	86 0.8×	82 1.2×	64 1.1×	40 0.7×	92 1.9×	17	216
Ida Altman	73 0.7×	54 0.8×	38 0.6×	43 0.8×	61 1.2×	29	214
David Cahill	84 0.8×	82 1.2×	60 1.0×	22 0.4×	105 2.1×	25	204
Ben Vinson	99 0.9×	63 0.9×	36 0.6×	77 1.4×	55 1.1×	21	227
Mary Elizabeth Perry	71 0.7×	45 0.6×	30 0.5×	40 0.7×	41 0.8×	27	242
Paul J. Hauben	62 0.6×	21 0.3×	46 0.8×	57 1.0×	47 1.0×	17	254
León G. Campbell	54 0.5×	114 1.6×	63 1.1×	34 0.6×	41 0.8×	29	184
Brian P. Owensby	65 0.6×	69 1.0×	51 0.8×	41 0.7×	58 1.2×	16	159
William S. Maltby	39 0.4×	28 0.4×	48 0.8×	51 0.9×	15 0.3×	24	197

Countries citing papers authored by Bianca Premo

Since Specialization

Citations

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

Fields of papers citing papers by Bianca Premo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bianca Premo

This figure shows the co-authorship network connecting the top 25 collaborators of Bianca Premo. A scholar is included among the top collaborators of Bianca Premo 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 Bianca Premo. Bianca Premo 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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