Peter Adewale

1.3k citations
23 papers · 1.1k · h-index 16

Impact in

Papers in

Peter Adewale

23 papers receiving 1.0k citations

Peers

Peter Adewale
Comparison fields: 5 of 82
  • Food Science 233
  • Biomedical Engineering 523
  • Fluid Flow and Transfer Processes 70
  • Nutrition and Dietetics 141
  • Analytical Chemistry 66
Replace Nataly Albuquerque dos Santos with:
Nataly Albuquerque dos Santos Brazil
Winnie Yee United States
B. V. S. K. Rao India
Ronald Alan Holser United States
Beatriz Torrestiana‐Sanchez Mexico
Ronald L. Madl United States
Shanmugaprakash Muthusamy India
María Luisa Salvador Solano Spain
João Paulo Bender Brazil
Luc Fillaudeau France
Peter Adewale relative to Nataly Albuquerque dos Santos Brazil Nataly Albuquerque dos Santos's profile →
Citations per field
00.5×2×3.3×
Nataly Albuquerque dos Santos · 1×
Citations per year

Countries citing papers authored by Peter Adewale

Since Specialization
Citations

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

Fields of papers citing papers by Peter Adewale

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Peter Adewale, 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 Peter Adewale Line = papers co-authored together Peter Adewale links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015285
2 2022137
3 201790
4 202265
5 201559
6 202355
7 201646
8 201545
9 201435
10 201832
11 202328
12 201427
13 202125
14 201825
15 202221
16 201418
17 201316
18 202313
19 201512
20 201712

About Peter Adewale

Peter Adewale is a scholar working on Food Science, Biomedical Engineering, Nutrition and Dietetics, Analytical Chemistry and Biochemistry, having authored 23 papers that have together received 1.1k indexed citations. Recurring topics across this work include Biodiesel Production and Applications (8 papers), Microbial Metabolic Engineering and Bioproduction (7 papers), Enzyme Catalysis and Immobilization (5 papers), Food composition and properties (4 papers), Agriculture Sustainability and Environmental Impact (3 papers), Microencapsulation and Drying Processes (3 papers), Food Drying and Modeling (2 papers) and Edible Oils Quality and Analysis (2 papers). The work is most often cited by research in Food Science (233 citations), Biomedical Engineering (523 citations), Fluid Flow and Transfer Processes (70 citations), Nutrition and Dietetics (141 citations) and Analytical Chemistry (66 citations). Peter Adewale has collaborated with scholars based in Canada, United States and Nigeria. Frequent co-authors include Michael O. Ngadi, Marie‐Josée Dumont, Edmond Lam, Lew Paul Christopher, Ebenezer Miezah Kwofie, Jamshid Rahimi, Kingsley K. Agyare, Sudip Kumar Rakshit, Daochen Zhu and Jianzhong Sun. Their work appears in journals such as Energy Technology, Innovative Food Science & Emerging Technologies, Journal of Food Engineering, Carbohydrate Polymers and Foods.

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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