Sara Nieto

21 total papers · 508 total citations
6 papers, 322 citations indexed

About

Sara Nieto is a scholar working on Atmospheric Science, Environmental Engineering and Physiology. According to data from OpenAlex, Sara Nieto has authored 6 papers receiving a total of 322 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Atmospheric Science, 3 papers in Environmental Engineering and 2 papers in Physiology. Recurrent topics in Sara Nieto's work include Soil Moisture and Remote Sensing (3 papers), Precipitation Measurement and Analysis (3 papers) and Synthetic Aperture Radar (SAR) Applications and Techniques (2 papers). Sara Nieto is often cited by papers focused on Soil Moisture and Remote Sensing (3 papers), Precipitation Measurement and Analysis (3 papers) and Synthetic Aperture Radar (SAR) Applications and Techniques (2 papers). Sara Nieto collaborates with scholars based in Spain, Italy and France. Sara Nieto's co-authors include Roger Oliva, Susanne Mecklenburg, Yann H. Kerr, Philippe Richaume, Claire Gruhier, E. Daganzo, Philippe Richaume, Elena Daganzo-Eusebio, Jasminka Z. Ilich and Owen Kelly and has published in prestigious journals such as The FASEB Journal, IEEE Transactions on Geoscience and Remote Sensing and Advances in Nutrition.

In The Last Decade

Sara Nieto

6 papers receiving 317 citations

Author Peers

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

Author						Papers	Cites
Sara Nieto	282	233	110	38	24	6	322
E. Daganzo	303 1.1×	256 1.1×	103 0.9×	45 1.2×	31 1.3×	13	350
Elena Daganzo-Eusebio	172 0.6×	159 0.7×	55 0.5×	66 1.7×	10 0.4×	9	253
David R. Brunfeldt	253 0.9×	171 0.7×	157 1.4×	18 0.5×	11 0.5×	15	315
Derek Hudson	172 0.6×	168 0.7×	121 1.1×	20 0.5×	11 0.5×	15	250
Kevin McMullan	217 0.8×	170 0.7×	100 0.9×	34 0.9×	6 0.3×	6	283
Mike Brown	296 1.0×	226 1.0×	135 1.2×	49 1.3×	8 0.3×	6	334
M. Schwabisch	168 0.6×	109 0.5×	261 2.4×	31 0.8×	15 0.6×	12	335
W. Rits	211 0.7×	166 0.7×	101 0.9×	33 0.9×	67 2.8×	9	345
A. Kitiyakara	138 0.5×	165 0.7×	54 0.5×	65 1.7×	5 0.2×	11	222
Y. Lasne	129 0.5×	75 0.3×	66 0.6×	90 2.4×	15 0.6×	9	259

Countries citing papers authored by Sara Nieto

Since Specialization

Citations

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

Fields of papers citing papers by Sara Nieto

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sara Nieto

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