Martina Scolamiero

1.2k total citations
8 papers, 485 citations indexed

About

Martina Scolamiero is a scholar working on Computational Theory and Mathematics, Cognitive Neuroscience and Mathematical Physics. According to data from OpenAlex, Martina Scolamiero has authored 8 papers receiving a total of 485 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computational Theory and Mathematics, 3 papers in Cognitive Neuroscience and 2 papers in Mathematical Physics. Recurrent topics in Martina Scolamiero's work include Topological and Geometric Data Analysis (4 papers), Functional Brain Connectivity Studies (3 papers) and Advanced Neuroimaging Techniques and Applications (2 papers). Martina Scolamiero is often cited by papers focused on Topological and Geometric Data Analysis (4 papers), Functional Brain Connectivity Studies (3 papers) and Advanced Neuroimaging Techniques and Applications (2 papers). Martina Scolamiero collaborates with scholars based in Sweden, Switzerland and United Kingdom. Martina Scolamiero's co-authors include Kathryn Hess, Paweł Dłotko, Henry Markram, Ran Levi, Giovanni Petri, Francesco Vaccarino, Irene Donato, Michael Reimann, Giuseppe Chindemi and Rodrigo Perin and has published in prestigious journals such as Nature Neuroscience, PLoS ONE and Molecular Psychiatry.

In The Last Decade

Martina Scolamiero

7 papers receiving 468 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Martina Scolamiero Sweden	5	208	135	105	97	74	8	485
Chad Giusti United States	9	239 1.1×	293 2.2×	164 1.6×	98 1.0×	46 0.6×	15	681
Katharine Turner Australia	6	245 1.2×	107 0.8×	63 0.6×	46 0.5×	70 0.9×	14	421
Kathryn Hess Switzerland	14	250 1.2×	235 1.7×	81 0.8×	164 1.7×	129 1.7×	64	1.1k
Ran Levi United Kingdom	14	164 0.8×	131 1.0×	64 0.6×	95 1.0×	69 0.9×	39	841
Yuri Dabaghian United States	12	164 0.8×	286 2.1×	117 1.1×	125 1.3×	21 0.3×	44	751
Carina Curto United States	13	186 0.9×	501 3.7×	116 1.1×	142 1.5×	48 0.6×	29	849
Äthan Spiros United States	16	174 0.8×	109 0.8×	32 0.3×	277 2.9×	42 0.6×	37	789
Michael Reimann Switzerland	11	80 0.4×	510 3.8×	84 0.8×	78 0.8×	50 0.7×	45	762
Max Nolte Switzerland	3	76 0.4×	139 1.0×	61 0.6×	29 0.3×	15 0.2×	3	266
Benedetta Franceschiello Switzerland	8	54 0.3×	306 2.3×	293 2.8×	82 0.8×	17 0.2×	12	812

Countries citing papers authored by Martina Scolamiero

Since Specialization

Citations

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

Fields of papers citing papers by Martina Scolamiero

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martina Scolamiero

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Scolamiero, Martina, et al.. (2024). Koszul Complexes and Relative Homological Algebra of Functors Over Posets. Foundations of Computational Mathematics. 25(4). 1121–1165. 4 indexed citations

2.

Scolamiero, Martina, et al.. (2024). The impact of Parkinson’s disease on striatal network connectivity and corticostriatal drive: An in silico study. Network Neuroscience. 8(4). 1149–1172.

3.

Colombo, Gloria, Ryan John Cubero, Lida Kanari, et al.. (2022). A tool for mapping microglial morphology, morphOMICs, reveals brain-region and sex-dependent phenotypes. Nature Neuroscience. 25(10). 1379–1393. 36 indexed citations

4.

Ramanujam, Ryan, et al.. (2021). Supervised Learning Using Homology Stable Rank Kernels. Frontiers in Applied Mathematics and Statistics. 7. 1 indexed citations

5.

Fournier, Margot, Martina Scolamiero, Mehdi Gholam‐Rezaee, et al.. (2020). Topology predicts long-term functional outcome in early psychosis. Molecular Psychiatry. 26(9). 5335–5346. 4 indexed citations

6.

Reimann, Michael, Max Nolte, Martina Scolamiero, et al.. (2017). Cliques of Neurons Bound into Cavities Provide a Missing Link between Structure and Function. Frontiers in Computational Neuroscience. 11. 48–48. 218 indexed citations

7.

Kanari, Lida, Paweł Dłotko, Martina Scolamiero, et al.. (2017). A Topological Representation of Branching Neuronal Morphologies. Neuroinformatics. 16(1). 3–13. 95 indexed citations

8.

Petri, Giovanni, Martina Scolamiero, Irene Donato, & Francesco Vaccarino. (2013). Topological Strata of Weighted Complex Networks. PLoS ONE. 8(6). e66506–e66506. 127 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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