David Favero

406 citations
13 papers · 78 indexed · h-index 6
Topics
Algebraic structures and combinatorial models (11 papers)Homotopy and Cohomology in Algebraic Topology (7 papers)Algebraic Geometry and Number Theory (6 papers)

In The Last Decade

David Favero

12 papers receiving 70 citations

Peers

David Favero
Comparison fields: 5 of 14
  • Geometry and Topology 65
  • Mathematical Physics 37
  • Algebra and Number Theory 35
  • Statistical and Nonlinear Physics 17
  • Discrete Mathematics and Combinatorics 16
Replace Anton Mellit with:
Anton Mellit Italy
Huai-Liang Chang Hong Kong
Aravind Asok United States
Charles Torossian France
Charles Cadman United States
Nicolas Addington United States
Radu Laza United States
Vadim Vologodsky United States
Behrang Noohi United States
Tyler Lawson United States
David Favero relative to Anton Mellit Italy Anton Mellit's profile →
Citations per field
00.5×2.8×
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Citations per year

Countries citing papers authored by David Favero

Since Specialization
Citations

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

Fields of papers citing papers by David Favero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Favero

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

All Works

13 of 13 papers shown
#WorkIndexed citations
1 0
2 1
3 2
4 1
5 5
6 6
7 5
8 10
9 30
10 4
11
A category of kernels for graded matrix factorizations and Hodge theory
2
12
A category of kernels for graded matrix factorizations and its implications for Hodge theory
1
13 11

About David Favero

David Favero is a scholar working on Geometry and Topology, Algebra and Number Theory and Mathematical Physics, having authored 13 papers that have together received 78 indexed citations. Recurring topics across this work include Algebraic structures and combinatorial models (11 papers), Homotopy and Cohomology in Algebraic Topology (7 papers) and Algebraic Geometry and Number Theory (6 papers). The work is most often cited by research in Algebra and Number Theory (35 citations), Geometry and Topology (65 citations) and Discrete Mathematics and Combinatorics (16 citations). David Favero has collaborated with scholars based in United States, Canada and Austria. Frequent co-authors include Ludmil Katzarkov, Jesse Huang, Bumsig Kim, Ionuţ Ciocan-Fontanine and Daniel T. Kaplan. Their work appears in journals such as Transactions of the American Mathematical Society, Advances in Mathematics and Publications mathématiques de l IHÉS.

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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