Claudia Landi

1.6k total citations
42 papers, 707 citations indexed

About

Claudia Landi is a scholar working on Computational Theory and Mathematics, Computer Vision and Pattern Recognition and Mathematical Physics. According to data from OpenAlex, Claudia Landi has authored 42 papers receiving a total of 707 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computational Theory and Mathematics, 19 papers in Computer Vision and Pattern Recognition and 14 papers in Mathematical Physics. Recurrent topics in Claudia Landi's work include Topological and Geometric Data Analysis (26 papers), Homotopy and Cohomology in Algebraic Topology (14 papers) and Digital Image Processing Techniques (9 papers). Claudia Landi is often cited by papers focused on Topological and Geometric Data Analysis (26 papers), Homotopy and Cohomology in Algebraic Topology (14 papers) and Digital Image Processing Techniques (9 papers). Claudia Landi collaborates with scholars based in Italy, United States and Canada. Claudia Landi's co-authors include Patrizio Frosini, Barbara Di Fabio, Daniela Giorgi, Silvia Biasotti, Andrea Cerri, Michele D’Amico, Leila De Floriani, Bianca Falcidieno, Michela Spagnuolo and Laura Papaleo and has published in prestigious journals such as ACM Computing Surveys, Transactions of the American Mathematical Society and Pattern Recognition Letters.

In The Last Decade

Claudia Landi

41 papers receiving 663 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Claudia Landi Italy 15 486 295 175 122 112 42 707
Patrizio Frosini Italy 18 681 1.4× 494 1.7× 254 1.5× 157 1.3× 199 1.8× 57 1.1k
Primož Škraba United States 15 309 0.6× 169 0.6× 89 0.5× 70 0.6× 36 0.3× 34 562
Jan Reininghaus Germany 10 312 0.6× 159 0.5× 61 0.3× 100 0.8× 49 0.4× 15 435
Rocı́o González-Dı́az Spain 11 236 0.5× 107 0.4× 72 0.4× 50 0.4× 12 0.1× 39 352
Paweł Pilarczyk Poland 12 170 0.3× 88 0.3× 137 0.8× 18 0.1× 36 0.3× 26 429
Brittany Terese Fasy United States 11 234 0.5× 58 0.2× 40 0.2× 85 0.7× 16 0.1× 43 403
Peter Bubenik United States 9 532 1.1× 84 0.3× 140 0.8× 141 1.2× 4 0.0× 34 633
Emil Saucan Israel 11 169 0.3× 80 0.3× 21 0.1× 14 0.1× 63 0.6× 55 397
Paul Bendich United States 9 276 0.6× 55 0.2× 61 0.3× 93 0.8× 6 0.1× 24 353
Mikael Vejdemo‐Johansson United States 8 347 0.7× 114 0.4× 86 0.5× 107 0.9× 4 0.0× 29 559

Countries citing papers authored by Claudia Landi

Since Specialization
Citations

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

Fields of papers citing papers by Claudia Landi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Claudia Landi

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

All Works

20 of 20 papers shown
1.
Bauer, Ulrich, Claudia Landi, & Facundo Mémoli. (2020). The Reeb Graph Edit Distance Is Universal. DROPS (Schloss Dagstuhl – Leibniz Center for Informatics). 1 indexed citations
2.
Kerber, Michael, et al.. (2019). A kernel for multi-parameter persistent homology. IRIS UNIMORE (University of Modena and Reggio Emilia). 12 indexed citations
3.
Landi, Claudia. (2019). The persistent homotopy type distance. IRIS UNIMORE (University of Modena and Reggio Emilia). 8 indexed citations
4.
Kaczyński, Tomasz, et al.. (2018). Acyclic Partial Matchings for Multidimensional Persistence: Algorithm and Combinatorial Interpretation. Journal of Mathematical Imaging and Vision. 61(2). 174–192. 3 indexed citations
5.
Bauer, Ulrich, Barbara Di Fabio, & Claudia Landi. (2016). An Edit Distance for Reeb Graphs. IRIS UNIMORE (University of Modena and Reggio Emilia). 8 indexed citations
6.
Kaczyński, Tomasz, et al.. (2016). Reducing complexes in multidimensional persistent homology theory. Journal of Symbolic Computation. 78. 61–75. 6 indexed citations
7.
Zaballos, Pedro, Pedro J. Serrano‐Castro, José Bañuls, et al.. (2015). Dermoscopy of tumours arising in naevus sebaceous: a morphological study of 58 cases. Journal of the European Academy of Dermatology and Venereology. 29(11). 2231–2237. 25 indexed citations
8.
Cerri, Andrea & Claudia Landi. (2015). Hausdorff Stability of Persistence Spaces. Foundations of Computational Mathematics. 16(2). 343–367. 4 indexed citations
9.
Landi, Claudia, et al.. (2014). Algebra lineare Geometria. Quiz ed Esercizi risolti e commentati. IRIS UNIMORE (University of Modena and Reggio Emilia). 1 indexed citations
10.
Frosini, Patrizio, et al.. (2013). Comparison of persistent homologies for vector functions: From continuous to discrete and back. Computers & Mathematics with Applications. 66(4). 560–573. 6 indexed citations
11.
Frosini, Patrizio & Claudia Landi. (2012). Persistent Betti numbers for a noise tolerant shape-based approach to image retrieval. Pattern Recognition Letters. 34(8). 863–872. 29 indexed citations
12.
Landi, Claudia, et al.. (2011). Finiteness of rank invariants of multidimensional persistent\nhomology groups. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 12 indexed citations
13.
Frosini, Patrizio & Claudia Landi. (2011). Uniqueness of models in persistent homology: the case of curves. Inverse Problems. 27(12). 124005–124005. 4 indexed citations
14.
Fabio, Barbara Di, et al.. (2009). Recognition of Occluded Shapes Using Size Functions. Lecture notes in computer science. 5716. 642–651. 1 indexed citations
15.
Frosini, Patrizio & Claudia Landi. (2008). Reparametrization invariant norms. Transactions of the American Mathematical Society. 361(1). 407–452. 3 indexed citations
16.
Frosini, Patrizio & Claudia Landi. (2003). Intrinsic harmonicily of Morse functions. Mathematika. 50(1-2). 167–170. 3 indexed citations
17.
Landi, Claudia. (2000). Cohomology rings of Artin groups. IRIS UNIMORE (University of Modena and Reggio Emilia). 11(1). 41–65. 5 indexed citations
18.
Frosini, Patrizio & Claudia Landi. (1999). Size theory as a topological tool for computer vision. IRIS UNIMORE (University of Modena and Reggio Emilia). 9. 596–603. 76 indexed citations
19.
Frosini, Patrizio & Claudia Landi. (1997). Size Functions and Morphological Transformations. Acta Applicandae Mathematicae. 49(1). 85–104. 14 indexed citations
20.
Landi, Claudia & Patrizio Frosini. (1996). <title>Connections between size functions and morphological transformations</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 2785. 24–32. 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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