Candra Irawan

68 papers receiving 343 citations

Peers

Candra Irawan
Comparison fields: 5 of 94
  • Biochemistry 50
  • Applied Microbiology and Biotechnology 10
  • Complementary and alternative medicine 24
  • Food Science 56
  • Computer Vision and Pattern Recognition 63
Replace Sawsan S. Al-Rawi with:
Sawsan S. Al-Rawi Iraq
Ravi Saini India
Mouna Sahnoun Tunisia
Md. Mahadi Hassan Bangladesh
Truong Nhat Van Do Vietnam
Yaming Xu China
Jinwoo Yang South Korea
A Karthikeyan India
K. P. Sharmila India
Farhana Afroz Bangladesh
Candra Irawan relative to Sawsan S. Al-Rawi Iraq Sawsan S. Al-Rawi's profile →
Citations per field
00.5×3.3×
Sawsan S. Al-Rawi · 1×
Citations per year

Countries citing papers authored by Candra Irawan

Since Specialization
Citations

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

Fields of papers citing papers by Candra Irawan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Candra Irawan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Candra Irawan Line = papers co-authored together Candra Irawan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201733
2 201824
3 201724
4 201823
5 202117
6 202214
7 201914
8 202113
9 202013
10 201811
11 202010
12 201910
13 201810
14 20159
15
GC-MS composition of leaf extract of Piper cf. arcuatum blume and their antioxidant activity and toxicity studies
20176
16 20156
17 20176
18 20176
19 20235
20 20145

About Candra Irawan

Candra Irawan is a scholar working on Plant Science, Biochemistry, Artificial Intelligence, Endocrinology, Diabetes and Metabolism and Food Science, having authored 89 papers that have together received 360 indexed citations. Recurring topics across this work include Phytochemicals and Antioxidant Activities (15 papers), Medicinal Plant Research (12 papers), Natural Antidiabetic Agents Studies (11 papers), Computer Science and Engineering (9 papers), Data Mining and Machine Learning Applications (6 papers), Essential Oils and Antimicrobial Activity (5 papers), Image Retrieval and Classification Techniques (4 papers) and Edcuational Technology Systems (3 papers). The work is most often cited by research in Biochemistry (50 citations), Applied Microbiology and Biotechnology (10 citations), Complementary and alternative medicine (24 citations), Food Science (56 citations) and Computer Vision and Pattern Recognition (63 citations). Candra Irawan has collaborated with scholars based in Indonesia, Malaysia and Zimbabwe. Frequent co-authors include Christy Atika Sari, Eko Hari Rachmawanto, De Rosal Ignatius Moses Setiadi, Hanafi Hanafi, Fadlina Chany Saputri, Rudy Djamaluddin, Berna Elya, Priyo Suprobo, Muhammad Hanafi and Mohamed Doheir. Their work appears in journals such as Journal of environmental chemical engineering, Case Studies in Chemical and Environmental Engineering, Journal of Southwest Jiaotong University, Research Journal of Pharmacy and Technology 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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