Bernardo Predicala

825 citations
63 papers · 657 · h-index 16

Impact in

Papers in

Bernardo Predicala

57 papers receiving 620 citations

Peers

Bernardo Predicala
Comparison fields: 5 of 89
  • Process Chemistry and Technology 216
  • Health, Toxicology and Mutagenesis 205
  • Animal Science and Zoology 53
  • Pollution 58
  • Environmental Engineering 68
Replace S.P. Lemay with:
S.P. Lemay Canada
Anna Chmielowiec‐Korzeniowska Poland
L. Tymczyna Poland
R. G. Maghirang United States
Sung-Back Cho South Korea
S. T. Bagley United States
Meng-Fei Han China
Bin Shang China
Małgorzata Gołofit-Szymczak Poland
Peiyang Li United States
Bernardo Predicala relative to S.P. Lemay Canada S.P. Lemay's profile →
Citations per field
00.5×
S.P. Lemay · 1×
Citations per year

Countries citing papers authored by Bernardo Predicala

Since Specialization
Citations

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

Fields of papers citing papers by Bernardo Predicala

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200272
2 201550
3 200848
4 201645
5 200740
6 200928
7 202126
8 201726
9 201724
10 200122
11 200319
12 200918
13 200618
14 201916
15 201715
16 200715
17 200712
18 200312
19 201410
20 20099

About Bernardo Predicala

Bernardo Predicala is a scholar working on Process Chemistry and Technology, Health, Toxicology and Mutagenesis, Electrical and Electronic Engineering, Mechanical Engineering and Pollution, having authored 63 papers that have together received 657 indexed citations. Recurring topics across this work include Odor and Emission Control Technologies (30 papers), Indoor Air Quality and Microbial Exposure (12 papers), Air Quality and Health Impacts (9 papers), Industrial Gas Emission Control (8 papers), Animal Behavior and Welfare Studies (6 papers), Aerosol Filtration and Electrostatic Precipitation (6 papers), Vehicle emissions and performance (5 papers) and Electrohydrodynamics and Fluid Dynamics (4 papers). The work is most often cited by research in Process Chemistry and Technology (216 citations), Health, Toxicology and Mutagenesis (205 citations), Animal Science and Zoology (53 citations), Pollution (58 citations) and Environmental Engineering (68 citations). Bernardo Predicala has collaborated with scholars based in Canada, United States and China. Frequent co-authors include Mehdi Nemati, Ronaldo G. Maghirang, C. Laguë, James E. Urban, Robert D Goodband, Ebrahim Rezaei, R. G. Maghirang, Huiqing Guo, Darren R. Korber and Jonathan W. Peterson. Their work appears in journals such as Transactions of the ASABE, Journal of environmental chemical engineering, Journal of Animal Science, Antibiotics and Biosystems Engineering.

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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