Shai Lavi

53 total papers · 502 total citations
29 papers, 325 citations indexed

About

Shai Lavi is a scholar working on Sociology and Political Science, Law and Political Science and International Relations. According to data from OpenAlex, Shai Lavi has authored 29 papers receiving a total of 325 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Sociology and Political Science, 10 papers in Law and 6 papers in Political Science and International Relations. Recurrent topics in Shai Lavi's work include Judicial and Constitutional Studies (4 papers), Neuroethics, Human Enhancement, Biomedical Innovations (3 papers) and Torture, Ethics, and Law (3 papers). Shai Lavi is often cited by papers focused on Judicial and Constitutional Studies (4 papers), Neuroethics, Human Enhancement, Biomedical Innovations (3 papers) and Torture, Ethics, and Law (3 papers). Shai Lavi collaborates with scholars based in Israel, United States and United Kingdom. Shai Lavi's co-authors include Yuval Peretz, Orit Edelbaum, Eyal Maori, Ilan Sela, Edna Tanne, Rita Mozes-Koch, José Joaquín Brunner, M. Shemesh, Nir Ayalon and Laurence S. Shore and has published in prestigious journals such as Journal of General Virology, Theriogenology and Science Technology & Human Values.

In The Last Decade

Shai Lavi

26 papers receiving 295 citations

Author Peers

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

Author						Papers	Cites
Shai Lavi	184	161	136	74	44	29	325
A. M. Hammond	178 1.0×	79 0.5×	51 0.4×	17 0.2×	15 0.3×	36	325
Ewelina K. Niemczyk	129 0.7×	17 0.1×	64 0.5×	18 0.2×	26 0.6×	28	268
Workneh Abebe	101 0.5×	56 0.3×	90 0.7×	29 0.4×	19 0.4×	31	270
Luiz Costa	91 0.5×	36 0.2×	136 1.0×	29 0.4×	8 0.2×	55	331
Emma Rhule	148 0.8×	63 0.4×	85 0.6×	14 0.2×	3 0.1×	15	331
C. B. Goodhart	149 0.8×	55 0.3×	53 0.4×	16 0.2×	3 0.1×	27	313
Julia Baumann	136 0.7×	38 0.2×	216 1.6×	28 0.4×	5 0.1×	34	299
Bill Roberts	41 0.2×	20 0.1×	25 0.2×	67 0.9×	15 0.3×	48	310
Carol E. Henderson	52 0.3×	79 0.5×	52 0.4×	46 0.6×	6 0.1×	29	225
Fiona N. Mumoki	219 1.2×	199 1.2×	213 1.6×	49 0.7×	2 0.0×	11	323

Countries citing papers authored by Shai Lavi

Since Specialization

Citations

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

Fields of papers citing papers by Shai Lavi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shai Lavi

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