Inmar E. Givoni

1.1k total citations
13 papers, 330 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 330 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 Bayesian Modeling and Causal Inference (3 papers), Advanced Image and Video Retrieval Techniques (3 papers) and Error Correcting Code Techniques (3 papers). Inmar E. Givoni is often cited by papers focused on Bayesian Modeling and Causal Inference (3 papers), Advanced Image and Video Retrieval Techniques (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, Nevena Lazic, Rakesh Agrawal, Parham Aarabi, Anitha Kannan, Ariel Fuxman, Vicenç Quera and Francesc S. Beltran and has published in prestigious journals such as Behavioural Brain Research, Neural Computation and Knowledge Discovery and Data Mining.

In The Last Decade

Inmar E. Givoni

11 papers receiving 311 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Inmar E. Givoni Canada	7	196	121	63	49	36	13	330
Yanhua Chen China	11	146 0.7×	136 1.1×	53 0.8×	52 1.1×	35 1.0×	30	334
Yiqun Zhang China	13	287 1.5×	149 1.2×	52 0.8×	89 1.8×	31 0.9×	54	435
Javad Azimi United States	9	225 1.1×	117 1.0×	24 0.4×	57 1.2×	30 0.8×	19	353
Yuanfei Dai China	7	279 1.4×	78 0.6×	45 0.7×	57 1.2×	43 1.2×	18	412
Kelvin Sim Singapore	11	217 1.1×	118 1.0×	41 0.7×	121 2.5×	48 1.3×	24	430
Simone Romano Australia	9	259 1.3×	94 0.8×	21 0.3×	32 0.7×	57 1.6×	11	381
Chengzhang Zhu China	11	263 1.3×	162 1.3×	44 0.7×	89 1.8×	10 0.3×	28	389
Yinglong Xia United States	13	326 1.7×	96 0.8×	75 1.2×	87 1.8×	85 2.4×	53	437
Xingzhong Du China	11	181 0.9×	172 1.4×	60 1.0×	198 4.0×	29 0.8×	26	409

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

Sort: Min cites: Since: Top N: Style:

13 of 13 papers shown

1.

Givoni, Inmar E., et al.. (2017). Min-Max Propagation. Neural Information Processing Systems. 30. 5565–5573. 2 indexed citations

2.

Quera, Vicenç, et al.. (2012). Determining shoal membership using affinity propagation. Behavioural Brain Research. 241. 38–49. 10 indexed citations

3.

Givoni, Inmar E., et al.. (2012). Learning structural element patch models with hierarchical palettes. 7. 2416–2423. 5 indexed citations

4.

Tarlow, Daniel, Inmar E. Givoni, Richard S. Zemel, & Brendan J. Frey. (2011). Graph cuts is a max-product algorithm. Uncertainty in Artificial Intelligence. 671–680. 9 indexed citations

5.

Kannan, Anitha, Inmar E. Givoni, Rakesh Agrawal, & Ariel Fuxman. (2011). Matching Unstructured Offers to Structured Product Descriptions. Knowledge Discovery and Data Mining. 3 indexed citations

6.

Kannan, Anitha, Inmar E. Givoni, Rakesh Agrawal, & Ariel Fuxman. (2011). Matching unstructured product offers to structured product specifications. 404–412. 49 indexed citations

7.

Givoni, Inmar E., et al.. (2011). Learning better image representations using ‘flobject analysis’. 2721–2728.

8.

Tarlow, Daniel, Inmar E. Givoni, & Richard S. Zemel. (2010). HOP-MAP: Efficient Message Passing with High Order Potentials. International Conference on Artificial Intelligence and Statistics. 812–819. 62 indexed citations

9.

Givoni, Inmar E. & Brendan J. Frey. (2009). Semi-Supervised Affinity Propagation with Instance-Level Constraints. International Conference on Artificial Intelligence and Statistics. 161–168. 38 indexed citations

10.

Lazic, Nevena, Inmar E. Givoni, Brendan J. Frey, & Parham Aarabi. (2009). FLoSS: Facility location for subspace segmentation. 825–832. 52 indexed citations

11.

Givoni, Inmar E. & Brendan J. Frey. (2009). A Binary Variable Model for Affinity Propagation. Neural Computation. 3484557773–12. 4 indexed citations

12.

Givoni, Inmar E. & Brendan J. Frey. (2009). A Binary Variable Model for Affinity Propagation. Neural Computation. 21(6). 1589–1600. 96 indexed citations

13.

Cheung, Vincent C. K., Inmar E. Givoni, Delbert Dueck, & Brendan J. Frey. (2006). Factorgrams: A tool for visualizing multi-way associations in biological data.

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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