Reagon Karki

525 citations
18 papers · 292 indexed · h-index 10
Topics
Bioinformatics and Genomic Networks (9 papers)Biomedical Text Mining and Ontologies (5 papers)Computational Drug Discovery Methods (5 papers)
Journals
SHILAP Revista de lepidopterologíaBioinformaticsScientific Reports
Partner nations
GermanyNetherlandsItaly

In The Last Decade

Reagon Karki

16 papers receiving 289 citations

Peers

Reagon Karki
Comparison fields: 5 of 81
  • Molecular Biology 151
  • Artificial Intelligence 97
  • Physiology 51
  • Computational Theory and Mathematics 44
  • Epidemiology 23
Replace Tamara Raschka with:
Tamara Raschka Germany
Ludwig Lausser Germany
Erfan Younesi Germany
Humayan Kabir Rana Bangladesh
Alpha Tom Kodamullil Germany
Marek Ostaszewski Luxembourg
Yejin Kim United States
Shounak Baksi United States
Ashar Ahmad Germany
Juan Felipe Beltrán United States
Reagon Karki relative to Tamara Raschka Germany Tamara Raschka's profile →
Citations per field
00.5×3.3×
Tamara Raschka · 1×
Citations per year

Countries citing papers authored by Reagon Karki

Since Specialization
Citations

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

Fields of papers citing papers by Reagon Karki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Reagon Karki

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

All Works

18 of 18 papers shown
#WorkIndexed citations
1 0
2 0
3 1
4 2
5 2
6 1
7 10
8 3
9 72
10 9
11 14
12 4
13 48
14 19
15 29
16 45
17 13
18 20

About Reagon Karki

Reagon Karki is a scholar working on Computational Theory and Mathematics, Behavioral Neuroscience and Neurology, having authored 18 papers that have together received 292 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (9 papers), Biomedical Text Mining and Ontologies (5 papers) and Computational Drug Discovery Methods (5 papers). The work is most often cited by research in Biological Psychiatry (8 citations), Artificial Intelligence (97 citations) and Computational Theory and Mathematics (44 citations). Reagon Karki has collaborated with scholars based in Germany, Netherlands and Italy. Frequent co-authors include Martin Hofmann‐Apitius, Alpha Tom Kodamullil, Daniel Domingo‐Fernándéz, Yojana Gadiya, Tamara Raschka, Christian Ebeling, Shounak Baksi, Bruce Schultz, Sumit Madan and Erfan Younesi. Their work appears in journals such as SHILAP Revista de lepidopterología, Bioinformatics and Scientific Reports.

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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