Serena Tessitore

28 total papers · 442 total citations
17 papers, 356 citations indexed

About

Serena Tessitore is a scholar working on Aerospace Engineering, Ocean Engineering and Management, Monitoring, Policy and Law. According to data from OpenAlex, Serena Tessitore has authored 17 papers receiving a total of 356 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Aerospace Engineering, 6 papers in Ocean Engineering and 6 papers in Management, Monitoring, Policy and Law. Recurrent topics in Serena Tessitore's work include Synthetic Aperture Radar (SAR) Applications and Techniques (15 papers), Geophysical Methods and Applications (6 papers) and Landslides and related hazards (6 papers). Serena Tessitore is often cited by papers focused on Synthetic Aperture Radar (SAR) Applications and Techniques (15 papers), Geophysical Methods and Applications (6 papers) and Landslides and related hazards (6 papers). Serena Tessitore collaborates with scholars based in Italy, Spain and Egypt. Serena Tessitore's co-authors include Domenico Calcaterra, Diego Di Martire, Massimo Ramondini, Roberto Tomás, Gerardo Herrera, Carolina Guardiola‐Albert, Pierluigi Confuorto, Pantaleone De Vita, Vincenzo Allocca and E. Costantini and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Hydrology and Remote Sensing.

In The Last Decade

Serena Tessitore

17 papers receiving 350 citations

Author Peers

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

Author						Papers	Cites
Serena Tessitore	257	189	108	88	76	17	356
Fernando Vicente	223 0.9×	161 0.9×	90 0.8×	81 0.9×	81 1.1×	17	327
Guadalupe Brú	241 0.9×	176 0.9×	118 1.1×	59 0.7×	60 0.8×	18	332
M. Mróz	192 0.7×	117 0.6×	93 0.9×	49 0.6×	97 1.3×	34	353
C. Giannico	284 1.1×	244 1.3×	192 1.8×	72 0.8×	70 0.9×	14	396
Xianlin Shi	262 1.0×	228 1.2×	187 1.7×	47 0.5×	71 0.9×	26	395
Ahmed Athab	207 0.8×	101 0.5×	82 0.8×	77 0.9×	68 0.9×	11	303
Giuseppe Centolanza	258 1.0×	213 1.1×	150 1.4×	46 0.5×	39 0.5×	15	320
Guangyao Duan	271 1.1×	128 0.7×	158 1.5×	75 0.9×	130 1.7×	26	370
Michaela Frei	233 0.9×	142 0.8×	114 1.1×	64 0.7×	88 1.2×	24	382
Shaochun Dong	203 0.8×	127 0.7×	97 0.9×	77 0.9×	54 0.7×	23	315

Countries citing papers authored by Serena Tessitore

Since Specialization

Citations

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

Fields of papers citing papers by Serena Tessitore

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Serena Tessitore

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