Inmar E. Givoni

18 total papers · 1.1k total citations
13 papers, 331 citations indexed

About

Inmar E. Givoni is a scholar working on Artificial Intelligence, Computer Networks and Communications and Molecular Biology. According to data from OpenAlex, Inmar E. Givoni has authored 13 papers receiving a total of 331 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 4 papers in Computer Networks and Communications and 3 papers in Molecular Biology. Recurrent topics in Inmar E. Givoni's work include Advanced Image and Video Retrieval Techniques (3 papers), Bayesian Modeling and Causal Inference (3 papers) and Error Correcting Code Techniques (3 papers). Inmar E. Givoni is often cited by papers focused on Advanced Image and Video Retrieval Techniques (3 papers), Bayesian Modeling and Causal Inference (3 papers) and Error Correcting Code Techniques (3 papers). Inmar E. Givoni collaborates with scholars based in Canada, United States and Spain. Inmar E. Givoni's co-authors include Brendan J. Frey, Daniel Tarlow, Richard S. Zemel, Rakesh Agrawal, Nevena Lazic, Anitha Kannan, Parham Aarabi, Ariel Fuxman, Vicenç Quera and Francesc S. Beltran and has published in prestigious journals such as Behavioural Brain Research, Neural Computation and Neural Information Processing Systems.

In The Last Decade

Inmar E. Givoni

11 papers receiving 312 citations

Author Peers

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

Author Last Decade Papers Cites
Inmar E. Givoni 196 122 63 49 36 13 331
Yanhua Chen 145 0.7× 135 1.1× 52 0.8× 52 1.1× 35 1.0× 30 330
Gadi Aleksandrowicz 207 1.1× 88 0.7× 29 0.5× 63 1.3× 41 1.1× 10 361
Hsin-Yu Ha 139 0.7× 115 0.9× 40 0.6× 34 0.7× 11 0.3× 17 347
Yunsheng Bai 183 0.9× 126 1.0× 36 0.6× 47 1.0× 34 0.9× 19 323
Javad Azimi 229 1.2× 117 1.0× 24 0.4× 57 1.2× 30 0.8× 19 351
Yiyang Gu 205 1.0× 80 0.7× 19 0.3× 42 0.9× 37 1.0× 15 310
Bingbing Xu 196 1.0× 63 0.5× 22 0.3× 49 1.0× 44 1.2× 18 294
Cheng Ji 245 1.3× 51 0.4× 30 0.5× 49 1.0× 39 1.1× 16 360
Qingqing Long 214 1.1× 91 0.7× 22 0.3× 52 1.1× 66 1.8× 20 324
Gwang S. Jung 136 0.7× 76 0.6× 44 0.7× 89 1.8× 9 0.3× 11 328

Countries citing papers authored by Inmar E. Givoni

Since Specialization
Citations

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

Fields of papers citing papers by Inmar E. Givoni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Inmar E. Givoni. 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 Inmar E. Givoni. The network helps show where Inmar E. Givoni may publish in the future.

Co-authorship network of co-authors of Inmar E. Givoni

This figure shows the co-authorship network connecting the top 25 collaborators of Inmar E. Givoni. A scholar is included among the top collaborators of Inmar E. Givoni 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 Inmar E. Givoni. Inmar E. Givoni 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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