Emerson G. Escolar

713 citations
12 papers · 387 indexed · h-index 6
Topics
Topological and Geometric Data Analysis (11 papers)Homotopy and Cohomology in Algebraic Topology (7 papers)Advanced Neuroimaging Techniques and Applications (6 papers)
Journals
Proceedings of the National Academy of SciencesSHILAP Revista de lepidopterologíaNanotechnology
Partner nations
JapanAustriaBulgaria

In The Last Decade

Emerson G. Escolar

10 papers receiving 377 citations

Peers

Emerson G. Escolar
Comparison fields: 5 of 82
  • Computational Theory and Mathematics 250
  • Materials Chemistry 91
  • Radiology, Nuclear Medicine and Imaging 91
  • Mathematical Physics 79
  • Biophysics 54
Replace C.S. Yang with:
C.S. Yang Taiwan
Tianyu Qiu China
Boris Fain United States
Barbara Coluzzi Italy
Rob Kusner United States
Pedro Almeida Portugal
M. J. D. Mallett United Kingdom
M. Schlottmann Germany
Rafael López Spain
Giuseppe Florio Italy
Emerson G. Escolar relative to C.S. Yang Taiwan C.S. Yang's profile →
Citations per field
00.5×10×20×30×39.5×
C.S. Yang · 1×
Citations per year

Countries citing papers authored by Emerson G. Escolar

Since Specialization
Citations

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

Fields of papers citing papers by Emerson G. Escolar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Emerson G. Escolar. 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 Emerson G. Escolar. The network helps show where Emerson G. Escolar may publish in the future.

Co-authorship network of co-authors of Emerson G. Escolar

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

All Works

12 of 12 papers shown
#WorkIndexed citations
1 0
2 1
3 0
4 9
5 4
6 18
7 7
8 3
9 249
10 75
11 19
12 2

About Emerson G. Escolar

Emerson G. Escolar is a scholar working on Mathematical Physics, Computational Theory and Mathematics and Discrete Mathematics and Combinatorics, having authored 12 papers that have together received 387 indexed citations. Recurring topics across this work include Topological and Geometric Data Analysis (11 papers), Homotopy and Cohomology in Algebraic Topology (7 papers) and Advanced Neuroimaging Techniques and Applications (6 papers). The work is most often cited by research in Computational Theory and Mathematics (250 citations), Biophysics (54 citations) and Mathematical Physics (79 citations). Emerson G. Escolar has collaborated with scholars based in Japan, Austria and Bulgaria. Frequent co-authors include Yasuaki Hiraoka, Takenobu Nakamura, Akihiko Hirata, Yasumasa Nishiura, Kaname Matsue, Takuya Yamamoto, Tomonori Nakamura, Mitinori Saitou, Yoji Kojima and Yukihiro Yabuta. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Nanotechnology.

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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