Ines Chami

909 total citations
6 papers, 111 citations indexed

About

Ines Chami is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Ines Chami has authored 6 papers receiving a total of 111 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 1 paper in Molecular Biology. Recurrent topics in Ines Chami's work include Advanced Image and Video Retrieval Techniques (2 papers), Image Retrieval and Classification Techniques (2 papers) and Multimodal Machine Learning Applications (2 papers). Ines Chami is often cited by papers focused on Advanced Image and Video Retrieval Techniques (2 papers), Image Retrieval and Classification Techniques (2 papers) and Multimodal Machine Learning Applications (2 papers). Ines Chami collaborates with scholars based in United States and France. Ines Chami's co-authors include Christopher Ré, Laurel Orr, Avanika Narayan, Cristina Re, Jure Leskovec, Rex Ying, Hervé Le Borgne, Adrian Popescu, Dat Nguyen and Christopher Ré and has published in prestigious journals such as Proceedings of the VLDB Endowment, HAL (Le Centre pour la Communication Scientifique Directe) and arXiv (Cornell University).

In The Last Decade

Ines Chami

5 papers receiving 110 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ines Chami United States	3	72	31	19	17	15	6	111
Mehdi Allahyari United States	9	100 1.4×	26 0.8×	47 2.5×	14 0.8×	13 0.9×	12	135
Joanna Biega Germany	5	146 2.0×	30 1.0×	30 1.6×	13 0.8×	10 0.7×	5	165
Kalpa Gunaratna United States	7	120 1.7×	42 1.4×	34 1.8×	10 0.6×	15 1.0×	17	152
Erdal Kuzey Germany	7	136 1.9×	31 1.0×	46 2.4×	14 0.8×	9 0.6×	7	148
Nathalie Pernelle France	6	79 1.1×	48 1.5×	51 2.7×	20 1.2×	15 1.0×	17	99
Seyed Mehran Kazemi Canada	6	139 1.9×	23 0.7×	18 0.9×	16 0.9×	6 0.4×	15	154
Shulin Liu China	7	273 3.8×	29 0.9×	64 3.4×	17 1.0×	14 0.9×	17	302
Iovka Boneva France	6	74 1.0×	13 0.4×	22 1.2×	13 0.8×	36 2.4×	14	91
Avanika Narayan United States	3	66 0.9×	37 1.2×	28 1.5×	6 0.4×	15 1.0×	5	102
Veronika Thost Germany	5	88 1.2×	12 0.4×	24 1.3×	7 0.4×	46 3.1×	23	98

Countries citing papers authored by Ines Chami

Since Specialization

Citations

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

Fields of papers citing papers by Ines Chami

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ines Chami

This figure shows the co-authorship network connecting the top 25 collaborators of Ines Chami. A scholar is included among the top collaborators of Ines Chami 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 Ines Chami. Ines Chami is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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6 of 6 papers shown

1.

Narayan, Avanika, Ines Chami, Laurel Orr, & Christopher Ré. (2022). Can Foundation Models Wrangle Your Data?. Proceedings of the VLDB Endowment. 16(4). 738–746. 72 indexed citations

2.

Chami, Ines, Albert Gu, Dat Nguyen, & Christopher Ré. (2021). HoroPCA: Hyperbolic Dimensionality Reduction via Horospherical Projections. arXiv (Cornell University). 1419–1429.

3.

Chami, Ines, et al.. (2020). From Trees to Continuous Embeddings and Back: Hyperbolic Hierarchical Clustering.. arXiv (Cornell University). 33. 15065–15076. 1 indexed citations

4.

Chami, Ines, Rex Ying, Cristina Re, & Jure Leskovec. (2019). Hyperbolic Graph Convolutional Neural Networks.. PubMed. 32. 4869–4880. 34 indexed citations

5.

Chami, Ines, et al.. (2017). AMECON. HAL (Le Centre pour la Communication Scientifique Directe). 347–355. 3 indexed citations

6.

Borgne, Hervé Le, et al.. (2016). Image Annotation and Two Paths to Text Illustration.. HAL (Le Centre pour la Communication Scientifique Directe). 1609. 322–333. 1 indexed citations

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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