Maria Speranza

79 total papers · 620 total citations
32 papers, 485 citations indexed

About

Maria Speranza is a scholar working on Plant Science, Ecology, Evolution, Behavior and Systematics and Ecology. According to data from OpenAlex, Maria Speranza has authored 32 papers receiving a total of 485 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Plant Science, 7 papers in Ecology, Evolution, Behavior and Systematics and 5 papers in Ecology. Recurrent topics in Maria Speranza's work include Botany and Plant Ecology Studies (7 papers), Mediterranean and Iberian flora and fauna (6 papers) and Coastal wetland ecosystem dynamics (5 papers). Maria Speranza is often cited by papers focused on Botany and Plant Ecology Studies (7 papers), Mediterranean and Iberian flora and fauna (6 papers) and Coastal wetland ecosystem dynamics (5 papers). Maria Speranza collaborates with scholars based in Italy, Denmark and China. Maria Speranza's co-authors include Carla Lambertini, Hans Brix, Mats Gustafsson, Jane Frydenberg, Francesca Ferranti, Raoul Beunen, Jørgen Lissner, Gilmo Vianello, Livia Vittori Antisari and Giovanni Cristofolini and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Ecological Indicators.

In The Last Decade

Maria Speranza

29 papers receiving 465 citations

Author Peers

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

Author						Papers	Cites
Maria Speranza	210	197	101	91	66	32	485
Penelope Wurm	235 1.1×	95 0.5×	54 0.5×	70 0.8×	43 0.7×	31	454
Réka Kiss	145 0.7×	181 0.9×	252 2.5×	83 0.9×	110 1.7×	31	517
D. J. Thompson	132 0.6×	210 1.1×	142 1.4×	91 1.0×	81 1.2×	35	530
Jaime Fagúndez	247 1.2×	142 0.7×	158 1.6×	73 0.8×	202 3.1×	52	534
Diana R. Lane	60 0.3×	245 1.2×	172 1.7×	191 2.1×	55 0.8×	20	473
Tao Liu	140 0.7×	120 0.6×	46 0.5×	68 0.7×	39 0.6×	31	484
Yu Chu	214 1.0×	107 0.5×	160 1.6×	74 0.8×	138 2.1×	17	540
Judit Sonkoly	204 1.0×	170 0.9×	297 2.9×	75 0.8×	195 3.0×	35	501
R. Reiné	233 1.1×	262 1.3×	291 2.9×	76 0.8×	116 1.8×	32	528
László Körmöczi	184 0.9×	150 0.8×	294 2.9×	122 1.3×	128 1.9×	32	503

Countries citing papers authored by Maria Speranza

Since Specialization

Citations

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

Fields of papers citing papers by Maria Speranza

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Speranza

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