Aristote Matondo

641 citations
27 papers · 422 indexed · h-index 14
Topics
Computational Drug Discovery Methods (8 papers)Diverse Scientific Research Studies (7 papers)Crystallography and molecular interactions (4 papers)
Journals
SHILAP Revista de lepidopterologíaChemical Physics LettersInternational Journal of Quantum Chemistry

In The Last Decade

Aristote Matondo

23 papers receiving 413 citations

Peers

Aristote Matondo
Comparison fields: 5 of 78
  • Computational Theory and Mathematics 132
  • Plant Science 105
  • General Health Professions 86
  • Complementary and alternative medicine 86
  • Molecular Biology 81
Replace Ayon Chakraborty with:
Ayon Chakraborty India
Sharat Sarmah India
Neelutpal Gogoi India
Pallab Kar India
Shalini Mathpal India
Arun Bahadur Gurung India
David Ortega-Alarcón Spain
Alaa H. M. Abdelrahman Egypt
Khalil El Khatabi Morocco
Gourav Choudhir India
Aristote Matondo relative to Ayon Chakraborty India Ayon Chakraborty's profile →
Citations per field
00.5×2.6×
Ayon Chakraborty · 1×
Citations per year

Countries citing papers authored by Aristote Matondo

Since Specialization
Citations

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

Fields of papers citing papers by Aristote Matondo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aristote Matondo

This figure shows the co-authorship network connecting the top 25 collaborators of Aristote Matondo. A scholar is included among the top collaborators of Aristote Matondo 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 Aristote Matondo. Aristote Matondo 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 0
2 0
3 1
4 18
5 18
6 21
7 53
8 6
9 11
10 79
11 1
12 3
13 24
14 4
15 18
16 14
17 16
18 24
19 7
20 13

About Aristote Matondo

Aristote Matondo is a scholar working on Complementary and alternative medicine, Molecular Medicine and Toxicology, having authored 27 papers that have together received 422 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (8 papers), Diverse Scientific Research Studies (7 papers) and Crystallography and molecular interactions (4 papers). The work is most often cited by research in Complementary and alternative medicine (86 citations), Computational Theory and Mathematics (132 citations) and Pharmacology (58 citations). Aristote Matondo has collaborated with scholars based in Democratic Republic of the Congo, United States and Madagascar. Frequent co-authors include Koto-te-Nyiwa Ngbolua, Jason T. Kilembe, Gédéon Ngiala Bongo, Dorothée D. Tshilanda, Damien S. T. Tshibangu, Clément L. Inkoto, Benjamin Z. Gbolo, Steve Scheiner, Okuma Emile Kasende and Jules Tshishimbi Muya. Their work appears in journals such as SHILAP Revista de lepidopterología, Chemical Physics Letters and International Journal of Quantum Chemistry.

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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