Tri Prartono

88 papers receiving 718 citations

Peers

Tri Prartono
Comparison fields: 5 of 81
  • Pollution 255
  • Industrial and Manufacturing Engineering 118
  • Aquatic Science 77
  • Ecology 233
  • Oceanography 101
Replace Lilik Maslukah with:
Lilik Maslukah Indonesia
C. S. Karez Brazil
З. Б. Намсараев Russia
David Sánchez-Quiles Spain
Csilla Stenger‐Kovács Hungary
Nobuyuki Kawasaki Japan
Benjamin Misson France
Md Khurshid Alam Bhuiyan Spain
Ruth Eriksen Australia
Fareed Ahmad Khan India
Tri Prartono relative to Lilik Maslukah Indonesia Lilik Maslukah's profile →
Citations per field
00.5×3.4×
Lilik Maslukah · 1×
Citations per year

Countries citing papers authored by Tri Prartono

Since Specialization
Citations

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

Fields of papers citing papers by Tri Prartono

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Tri Prartono, 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 Tri Prartono Line = papers co-authored together Tri Prartono links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 99 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202190
2 201677
3 199447
4
Mikroalga Potensi dan Pemanfaatannya Untuk Produksi Bio Bahan Bakar
201047
5 199830
6 201624
7 201821
8 202218
9
Fatty Acid Composition of Three Diatom Species Skeletonema costatum, Thalassiosira sp. and Chaetoceros gracilis
201318
10 202017
11 201817
12 201615
13
Possible food sources of macrozoobenthos in the manko mangrove ecosystem, okinawa (Japan): a stable isotope analysis approach.
201515
14 201614
15 202014
16 201513
17 201912
18 201812
19 201612
20 201711

About Tri Prartono

Tri Prartono is a scholar working on Ecology, Oceanography, Water Science and Technology, Geology and Pollution, having authored 99 papers that have together received 755 indexed citations. Recurring topics across this work include Marine and Coastal Ecosystems (26 papers), Geological and Geophysical Studies (19 papers), Heavy Metal Pollution Remediation (16 papers), Marine and fisheries research (9 papers), Agricultural and Environmental Management (8 papers), Oceanographic and Atmospheric Processes (8 papers), Geochemistry and Geologic Mapping (8 papers) and Heavy metals in environment (7 papers). The work is most often cited by research in Pollution (255 citations), Industrial and Manufacturing Engineering (118 citations), Aquatic Science (77 citations), Ecology (233 citations) and Oceanography (101 citations). Tri Prartono has collaborated with scholars based in Indonesia, United Kingdom and Japan. Frequent co-authors include Mujizat Kawaroe, Dietriech Geoffrey Bengen, I Wayan Nurjaya, Alan F. Koropitan, Etty Riani, Yusli Wardiatno, Anna Ida Sunaryo Purwiyanto, Muhammad Reza Cordova, George A. Wolff and Agus Saleh Atmadipoera. Their work appears in journals such as Marine Pollution Bulletin, Marine Chemistry, Applied and Environmental Microbiology, Applied Sciences and Organic Geochemistry.

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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