David Silvera‐Tawil

63 total papers · 1.2k total citations
40 papers, 699 citations indexed

About

David Silvera‐Tawil is a scholar working on Social Psychology, General Health Professions and Cognitive Neuroscience. According to data from OpenAlex, David Silvera‐Tawil has authored 40 papers receiving a total of 699 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Social Psychology, 9 papers in General Health Professions and 9 papers in Cognitive Neuroscience. Recurrent topics in David Silvera‐Tawil's work include Social Robot Interaction and HRI (9 papers), Autism Spectrum Disorder Research (5 papers) and Mobile Health and mHealth Applications (4 papers). David Silvera‐Tawil is often cited by papers focused on Social Robot Interaction and HRI (9 papers), Autism Spectrum Disorder Research (5 papers) and Mobile Health and mHealth Applications (4 papers). David Silvera‐Tawil collaborates with scholars based in Australia, Japan and China. David Silvera‐Tawil's co-authors include Mari Velonaki, David Rye, Manuchehr Soleimani, Katsumi Watanabe, Kerstin S. Haring, DanaKai Bradford, M. Sazzad Hussain, Jane Li, Jill Freyne and Muhammad Moid Sandhu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Stroke and Sensors.

In The Last Decade

David Silvera‐Tawil

37 papers receiving 684 citations

Author Peers

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

Author						Papers	Cites
David Silvera‐Tawil	259	247	152	134	91	40	699
Carmine Tommaso Recchiuto	244 0.9×	126 0.5×	158 1.0×	66 0.5×	163 1.8×	61	695
Mihoko Otake	150 0.6×	112 0.5×	132 0.9×	43 0.3×	157 1.7×	84	673
Marcello Ferro	200 0.8×	219 0.9×	67 0.4×	55 0.4×	92 1.0×	49	672
José María Plaza	44 0.2×	60 0.2×	150 1.0×	97 0.7×	117 1.3×	69	695
Jingyuan Cheng	355 1.4×	136 0.6×	37 0.2×	107 0.8×	25 0.3×	41	659
Heli Koskimäki	162 0.6×	55 0.2×	31 0.2×	45 0.3×	87 1.0×	38	638
Denys J. C. Matthies	199 0.8×	356 1.4×	81 0.5×	52 0.4×	21 0.2×	52	770
Vivian Genaro Motti	69 0.3×	115 0.5×	63 0.4×	42 0.3×	76 0.8×	69	654
Jaeyeon Lee	82 0.3×	146 0.6×	49 0.3×	26 0.2×	92 1.0×	66	600
Uri Maoz	94 0.4×	473 1.9×	72 0.5×	55 0.4×	67 0.7×	32	779

Countries citing papers authored by David Silvera‐Tawil

Since Specialization

Citations

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

Fields of papers citing papers by David Silvera‐Tawil

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Silvera‐Tawil. 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 David Silvera‐Tawil. The network helps show where David Silvera‐Tawil may publish in the future.

Co-authorship network of co-authors of David Silvera‐Tawil

This figure shows the co-authorship network connecting the top 25 collaborators of David Silvera‐Tawil. A scholar is included among the top collaborators of David Silvera‐Tawil 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 David Silvera‐Tawil. David Silvera‐Tawil 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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