Christina Sormani

743 citations
32 papers · 303 indexed · h-index 12
Topics
Geometric Analysis and Curvature Flows (26 papers)Geometry and complex manifolds (14 papers)Advanced Differential Geometry Research (9 papers)

In The Last Decade

Christina Sormani

29 papers receiving 274 citations

Peers

Christina Sormani
Comparison fields: 5 of 17
  • Applied Mathematics 280
  • Geometry and Topology 199
  • Astronomy and Astrophysics 109
  • Mathematical Physics 70
  • Computational Theory and Mathematics 42
Replace Paolo Mastrolia with:
Paolo Mastrolia Italy
Felix Schulze United Kingdom
Gábor Székelyhidi United States
Knut Smoczyk Germany
Xianzhe Dai United States
Oliver C. Schnürer Germany
Joachim Lohkamp Germany
Christine Guenther United States
Weimin Sheng China
Elisabetta Barletta Italy
Christina Sormani relative to Paolo Mastrolia Italy Paolo Mastrolia's profile →
Citations per field
00.5×1.5×
Paolo Mastrolia · 1×
Citations per year

Countries citing papers authored by Christina Sormani

Since Specialization
Citations

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

Fields of papers citing papers by Christina Sormani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christina Sormani

This figure shows the co-authorship network connecting the top 25 collaborators of Christina Sormani. A scholar is included among the top collaborators of Christina Sormani 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 Christina Sormani. Christina Sormani 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
#WorkIndexed citations
1 5
2 2
3 7
4 1
5 1
6 0
7 6
8 4
9 1
10 1
11 40
12 2
13 11
14 4
15 5
16 13
17 9
18 19
19 13
20 32

About Christina Sormani

Christina Sormani is a scholar working on Applied Mathematics, Geometry and Topology and Theoretical Computer Science, having authored 32 papers that have together received 303 indexed citations. Recurring topics across this work include Geometric Analysis and Curvature Flows (26 papers), Geometry and complex manifolds (14 papers) and Advanced Differential Geometry Research (9 papers). The work is most often cited by research in Applied Mathematics (280 citations), Geometry and Topology (199 citations) and Mathematical Physics (70 citations). Christina Sormani has collaborated with scholars based in United States, Canada and Sweden. Frequent co-authors include Guofang Wei, Stefan Wenger, Zhongmin Shen, Lan-Hsuan Huang, Chen-Yun Lin, Shing‐Tung Yau, Terence Tao, Leslie Greengard, Karen Uhlenbeck and Kevin R. Payne. Their work appears in journals such as Transactions of the American Mathematical Society, Journal of Mathematical Physics and Advances in Mathematics.

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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