Danielle D. Sliva

24 total papers · 1.1k total citations
16 papers, 698 citations indexed

About

Danielle D. Sliva is a scholar working on Cognitive Neuroscience, Pediatrics, Perinatology and Child Health and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Danielle D. Sliva has authored 16 papers receiving a total of 698 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cognitive Neuroscience, 6 papers in Pediatrics, Perinatology and Child Health and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Danielle D. Sliva's work include Functional Brain Connectivity Studies (7 papers), Neonatal and fetal brain pathology (5 papers) and EEG and Brain-Computer Interfaces (3 papers). Danielle D. Sliva is often cited by papers focused on Functional Brain Connectivity Studies (7 papers), Neonatal and fetal brain pathology (5 papers) and EEG and Brain-Computer Interfaces (3 papers). Danielle D. Sliva collaborates with scholars based in United States, Bangladesh and France. Danielle D. Sliva's co-authors include P. Ellen Grant, Nadine Gaab, Jennifer Zuk, Nora Maria Raschle, Silvia Ortiz‐Mantilla, April A. Benasich, Bryce L. C. Becker, Yingying Wang, Marie Drottar and Matti Hämäläinen and has published in prestigious journals such as NeuroImage, Scientific Reports and Annals of the New York Academy of Sciences.

In The Last Decade

Danielle D. Sliva

15 papers receiving 690 citations

Author Peers

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

Author						Papers	Cites
Danielle D. Sliva	398	243	190	189	70	16	698
Satoshi Tsujimoto	241 0.6×	169 0.7×	69 0.4×	46 0.2×	25 0.4×	35	692
Ralph Schnitker	184 0.5×	79 0.3×	57 0.3×	61 0.3×	44 0.6×	20	589
Franck Lamberton	372 0.9×	260 1.1×	69 0.4×	35 0.2×	45 0.6×	29	788
Mohinish Shukla	287 0.7×	140 0.6×	392 2.1×	83 0.4×	8 0.1×	18	772
Sheryl L. Rimrodt	494 1.2×	137 0.6×	321 1.7×	59 0.3×	113 1.6×	13	784
Elizabeth Molloy	441 1.1×	167 0.7×	82 0.4×	96 0.5×	14 0.2×	10	765
Gaetana Chillemi	311 0.8×	161 0.7×	35 0.2×	38 0.2×	106 1.5×	20	622
D. Vitacco	505 1.3×	93 0.4×	77 0.4×	49 0.3×	23 0.3×	8	686
Wemara Lichty	420 1.1×	275 1.1×	115 0.6×	69 0.4×	7 0.1×	20	697
Virginia Frisk	327 0.8×	57 0.2×	114 0.6×	309 1.6×	13 0.2×	18	725

Countries citing papers authored by Danielle D. Sliva

Since Specialization

Citations

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

Fields of papers citing papers by Danielle D. Sliva

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Danielle D. Sliva. 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 Danielle D. Sliva. The network helps show where Danielle D. Sliva may publish in the future.

Co-authorship network of co-authors of Danielle D. Sliva

This figure shows the co-authorship network connecting the top 25 collaborators of Danielle D. Sliva. A scholar is included among the top collaborators of Danielle D. Sliva 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 Danielle D. Sliva. Danielle D. Sliva 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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