Francis Bach

16 total papers · 1.0k total citations
2 papers, 717 citations indexed

About

Francis Bach is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Infectious Diseases. According to data from OpenAlex, Francis Bach has authored 2 papers receiving a total of 717 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Computer Vision and Pattern Recognition, 2 papers in Computational Mechanics and 0 papers in Infectious Diseases. Recurrent topics in Francis Bach's work include Sparse and Compressive Sensing Techniques (2 papers), Medical Image Segmentation Techniques (2 papers) and Generative Adversarial Networks and Image Synthesis (1 paper). Francis Bach is often cited by papers focused on Sparse and Compressive Sensing Techniques (2 papers), Medical Image Segmentation Techniques (2 papers) and Generative Adversarial Networks and Image Synthesis (1 paper). Francis Bach collaborates with scholars based in France, United States and United Kingdom. Francis Bach's co-authors include Julien Mairal, Jean Ponce, Guillermo Sapiro and Andrew Zisserman and has published in prestigious journals such as .

In The Last Decade

Francis Bach

2 papers receiving 696 citations

Hit Papers

Discriminative learned di... 2008 2026 2014 2020 2008 100 200 300 400 500
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 benchmark for papers published in the same subfield and year, or reaches the top citation threshold in at least one of its specific research topics.

  1. Discriminative learned dictionaries for local image analysis
    2008 514 citations Julien Mairal, Francis Bach et al. profile →

Author Peers

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

Author Last Decade Papers Cites
Francis Bach 514 315 139 134 118 2 717
Xiangyu Chang 294 0.6× 489 1.6× 124 0.9× 70 0.5× 109 0.9× 4 780
Ignacio Ramírez 532 1.0× 338 1.1× 176 1.3× 162 1.2× 152 1.3× 18 791
Leqin Wu 273 0.5× 274 0.9× 166 1.2× 83 0.6× 103 0.9× 9 783
A.N. Venetsanopoulos 395 0.8× 105 0.3× 119 0.9× 85 0.6× 191 1.6× 6 773
Andrew Wagner 737 1.4× 310 1.0× 91 0.7× 105 0.8× 209 1.8× 14 884
Yao Hu 500 1.0× 440 1.4× 76 0.5× 90 0.7× 157 1.3× 15 789
Andreas Lugmayr 649 1.3× 93 0.3× 130 0.9× 106 0.8× 53 0.4× 6 900
Yong Xu 518 1.0× 178 0.6× 170 1.2× 137 1.0× 117 1.0× 11 726
Ran He 456 0.9× 347 1.1× 246 1.8× 109 0.8× 275 2.3× 15 879
Francis R. Bach 410 0.8× 220 0.7× 318 2.3× 99 0.7× 166 1.4× 11 823

Countries citing papers authored by Francis Bach

Since Specialization
Citations

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

Fields of papers citing papers by Francis Bach

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francis Bach

This figure shows the co-authorship network connecting the top 25 collaborators of Francis Bach. A scholar is included among the top collaborators of Francis Bach 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 Francis Bach. Francis Bach 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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2026