Gabriel Ilharco

2.5k total citations · 2 hit papers
12 papers, 553 citations indexed

About

Gabriel Ilharco is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Gabriel Ilharco has authored 12 papers receiving a total of 553 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 10 papers in Computer Vision and Pattern Recognition and 1 paper in Information Systems. Recurrent topics in Gabriel Ilharco's work include Multimodal Machine Learning Applications (9 papers), Domain Adaptation and Few-Shot Learning (7 papers) and Topic Modeling (7 papers). Gabriel Ilharco is often cited by papers focused on Multimodal Machine Learning Applications (9 papers), Domain Adaptation and Few-Shot Learning (7 papers) and Topic Modeling (7 papers). Gabriel Ilharco collaborates with scholars based in United States, Austria and Israel. Gabriel Ilharco's co-authors include Mitchell Wortsman, Ludwig Schmidt, Jenia Jitsev, Ross Wightman, Christoph Schuhmann, Mehdi Cherti, Romain Beaumont, Ludwig Schmidt, Hannaneh Hajishirzi and Ali Farhadi and has published in prestigious journals such as 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021 IEEE/CVF International Conference on Computer Vision (ICCV) and arXiv (Cornell University).

In The Last Decade

Gabriel Ilharco

12 papers receiving 526 citations

Hit Papers

Reproducible Scaling Laws... 2022 2026 2023 2024 2023 2022 50 100 150 200
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Reproducible Scaling Laws for Contrastive Language-Image Learning
    2023 213 citations Mehdi Cherti, Romain Beaumont et al. profile →
  2. Robust fine-tuning of zero-shot models
    2022 208 citations Mitchell Wortsman, Gabriel Ilharco et al. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gabriel Ilharco United States 7 354 318 31 25 25 12 553
Mitchell Wortsman United States 6 328 0.9× 286 0.9× 28 0.9× 20 0.8× 23 0.9× 9 513
Hangbo Bao China 5 231 0.7× 279 0.9× 13 0.4× 23 0.9× 18 0.7× 8 432
Roberto Olmos Spain 5 287 0.8× 269 0.8× 25 0.8× 14 0.6× 22 0.9× 5 450
Pengxu Wei China 13 354 1.0× 210 0.7× 21 0.7× 22 0.9× 24 1.0× 41 522
Santosh Divvala United States 9 664 1.9× 333 1.0× 54 1.7× 27 1.1× 13 0.5× 13 769
Saurav Kadavath United States 2 346 1.0× 429 1.3× 16 0.5× 9 0.4× 48 1.9× 2 580
Zheda Mai Canada 8 272 0.8× 428 1.3× 13 0.4× 35 1.4× 52 2.1× 15 549
Yuheng Li United States 6 502 1.4× 266 0.8× 12 0.4× 12 0.5× 28 1.1× 11 772
Chaoyou Fu China 10 350 1.0× 129 0.4× 32 1.0× 20 0.8× 14 0.6× 25 536
Guangyao Chen China 5 138 0.4× 238 0.7× 26 0.8× 10 0.4× 25 1.0× 11 391

Countries citing papers authored by Gabriel Ilharco

Since Specialization
Citations

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

Fields of papers citing papers by Gabriel Ilharco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gabriel Ilharco

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

All Works

12 of 12 papers shown
1.
Asai, Akari, et al.. (2023). TaskWeb: Selecting Better Source Tasks for Multi-task NLP. 11032–11052. 1 indexed citations
2.
Gadre, Samir Yitzhak, Mitchell Wortsman, Gabriel Ilharco, Ludwig Schmidt, & Shuran Song. (2023). CoWs on Pasture: Baselines and Benchmarks for Language-Driven Zero-Shot Object Navigation. 23171–23181. 66 indexed citations
3.
Cherti, Mehdi, Romain Beaumont, Ross Wightman, et al.. (2023). Reproducible Scaling Laws for Contrastive Language-Image Learning. 2818–2829. 213 indexed citations breakdown →
4.
Ilharco, Gabriel, et al.. (2023). Adaptive Testing of Computer Vision Models. 3980–3991. 8 indexed citations
5.
Wortsman, Mitchell, et al.. (2022). Exploring The Landscape of Distributional Robustness for Question Answering Models. 5971–5987. 6 indexed citations
6.
Wortsman, Mitchell, Gabriel Ilharco, Jong Wook Kim, et al.. (2022). Robust fine-tuning of zero-shot models. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 7949–7961. 208 indexed citations breakdown →
7.
Talmor, Alon, Dan Lahav, Yizhong Wang, et al.. (2021). MultiModalQA: Complex Question Answering over Text, Tables and Images. arXiv (Cornell University). 5 indexed citations
8.
Nagrani, Arsha, Chris Bregler, Gabriel Ilharco, et al.. (2021). Recognizing Multimodal Entailment. 29–30. 1 indexed citations
9.
Ilharco, Gabriel, et al.. (2021). Contrasting Contrastive Self-Supervised Representation Learning Pipelines. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 19 indexed citations
10.
Ilharco, Gabriel, Rowan Zellers, Ali Farhadi, & Hannaneh Hajishirzi. (2020). Probing Text Models for Common Ground with Visual Representations. arXiv (Cornell University). 5 indexed citations
11.
Ilharco, Gabriel, et al.. (2020). High Performance Natural Language Processing. 24–27. 2 indexed citations
12.
Ilharco, Gabriel, Vihan Jain, Alexander Ku, Eugene Ie, & Jason Baldridge. (2019). General Evaluation for Instruction Conditioned Navigation using Dynamic Time Warping. arXiv (Cornell University). 19 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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