Ehud Karavani

28 total papers · 491 total citations
7 papers, 227 citations indexed

About

Ehud Karavani is a scholar working on Artificial Intelligence, Pediatrics, Perinatology and Child Health and Genetics. According to data from OpenAlex, Ehud Karavani has authored 7 papers receiving a total of 227 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Pediatrics, Perinatology and Child Health and 2 papers in Genetics. Recurrent topics in Ehud Karavani's work include Advanced Causal Inference Techniques (2 papers), Statistical Methods and Inference (2 papers) and Bayesian Modeling and Causal Inference (2 papers). Ehud Karavani is often cited by papers focused on Advanced Causal Inference Techniques (2 papers), Statistical Methods and Inference (2 papers) and Bayesian Modeling and Causal Inference (2 papers). Ehud Karavani collaborates with scholars based in Israel, United States and Greece. Ehud Karavani's co-authors include Michal Rosen‐Zvi, Varda Shalev, Adam Spiro, Michal Chorev, Michal Guindy, Ayelet Akselrod-Ballin, Yoel Shoshan, Esma Herzel, Gideon Koren and Ella Barkan and has published in prestigious journals such as Cell, Nucleic Acids Research and Radiology.

In The Last Decade

Ehud Karavani

6 papers receiving 220 citations

Author Peers

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

Author						Papers	Cites
Ehud Karavani	104	87	60	44	35	7	227
Guy Amster	23 0.2×	11 0.1×	149 2.5×	107 2.4×	7 0.2×	9	266
Garyk Brixi	14 0.1×	12 0.1×	24 0.4×	157 3.6×	6 0.2×	7	258
Ethan Goh	69 0.7×	41 0.5×	13 0.2×	25 0.6×	98 2.8×	9	294
Diana Lin	26 0.3×	157 1.8×	12 0.2×	7 0.2×	12 0.3×	13	295
Xiaoning Tang	11 0.1×	16 0.2×	68 1.1×	174 4.0×	2 0.1×	8	325
Michael E. Pyle	38 0.4×	53 0.6×	50 0.8×	61 1.4×	7 0.2×	11	278
Nina K. Wenke	58 0.6×	21 0.2×	46 0.8×	54 1.2×	20 0.6×	10	221
Malte Jensen	72 0.7×	107 1.2×	3 0.1×	20 0.5×	21 0.6×	8	194
Jerome Atutornu	16 0.2×	17 0.2×	73 1.2×	25 0.6×	8 0.2×	9	200
Camir Ricketts	45 0.4×	53 0.6×	19 0.3×	79 1.8×	12 0.3×	7	182

Countries citing papers authored by Ehud Karavani

Since Specialization

Citations

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

Fields of papers citing papers by Ehud Karavani

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ehud Karavani

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