Bernardo Predicala

815 total citations
63 papers, 610 citations indexed

About

Bernardo Predicala is a scholar working on Process Chemistry and Technology, Health, Toxicology and Mutagenesis and Electrical and Electronic Engineering. According to data from OpenAlex, Bernardo Predicala has authored 63 papers receiving a total of 610 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Process Chemistry and Technology, 18 papers in Health, Toxicology and Mutagenesis and 11 papers in Electrical and Electronic Engineering. Recurrent topics in Bernardo Predicala's work include Odor and Emission Control Technologies (30 papers), Indoor Air Quality and Microbial Exposure (12 papers) and Air Quality and Health Impacts (9 papers). Bernardo Predicala is often cited by papers focused on Odor and Emission Control Technologies (30 papers), Indoor Air Quality and Microbial Exposure (12 papers) and Air Quality and Health Impacts (9 papers). Bernardo Predicala collaborates with scholars based in Canada, United States and Mexico. Bernardo Predicala's co-authors include Mehdi Nemati, Ronaldo G. Maghirang, C. Laguë, Robert D Goodband, James E. Urban, Ebrahim Rezaei, Huiqing Guo, R. G. Maghirang, Jonathan W. Peterson and Gang Sun and has published in prestigious journals such as Journal of Hazardous Materials, Bioresource Technology and Journal of Allergy and Clinical Immunology.

In The Last Decade

Bernardo Predicala

57 papers receiving 575 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Bernardo Predicala Canada 15 216 199 78 66 63 63 610
Meng-Fei Han China 12 209 1.0× 147 0.7× 43 0.6× 57 0.9× 89 1.4× 22 471
Sung-Back Cho South Korea 9 96 0.4× 144 0.7× 31 0.4× 54 0.8× 12 0.2× 22 389
Yen-Chih Chen United States 11 128 0.6× 126 0.6× 26 0.3× 103 1.6× 30 0.5× 16 736
Zhishu Liang China 17 125 0.6× 315 1.6× 84 1.1× 43 0.7× 92 1.5× 35 831
E. Smet Belgium 14 492 2.3× 147 0.7× 40 0.5× 230 3.5× 53 0.8× 22 825
R. G. Maghirang United States 12 131 0.6× 141 0.7× 152 1.9× 35 0.5× 38 0.6× 37 568
Peiyang Li United States 12 73 0.3× 62 0.3× 28 0.4× 46 0.7× 16 0.3× 46 389
S. T. Bagley United States 16 79 0.4× 181 0.9× 100 1.3× 30 0.5× 39 0.6× 25 545
Mariusz Korczyński Poland 20 82 0.4× 59 0.3× 45 0.6× 65 1.0× 13 0.2× 77 1.0k
S.P. Lemay Canada 10 186 0.9× 130 0.7× 13 0.2× 65 1.0× 28 0.4× 58 542

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-authorship network of co-authors of Bernardo Predicala

This figure shows the co-authorship network connecting the top 25 collaborators of Bernardo Predicala. A scholar is included among the top collaborators of Bernardo Predicala 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 Bernardo Predicala. Bernardo Predicala 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
1.
Muñoz‐Sandoval, Emilio, et al.. (2024). Microbial decontamination of barn surfaces using engineered water nanostructures (EWNS). MRS Advances. 9(5). 247–253.
2.
Kirychuk, Shelley, et al.. (2023). Improving Air Quality in Broiler Rooms Using an Electrostatic Particle Ionization System. Journal of the ASABE. 66(4). 887–896. 3 indexed citations
3.
Chekabab, Samuel M., et al.. (2022). Impact of Raised without Antibiotics Measures on Antimicrobial Resistance and Prevalence of Pathogens in Sow Barns. Antibiotics. 11(9). 1221–1221. 3 indexed citations
4.
Kirychuk, Shelley, et al.. (2022). Reduction of airborne particulate matter from pig and poultry rearing facilities using engineered water nanostructures. Biosystems Engineering. 218. 1–9. 4 indexed citations
5.
Kirychuk, Shelley, et al.. (2021). Research Note: Evaluation of the efficacy of engineered water nanostructures in inactivating airborne bacteria in poultry houses. Poultry Science. 101(2). 101580–101580. 2 indexed citations
6.
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8.
Chekabab, Samuel M., et al.. (2020). A health metadata-based management approach for comparative analysis of high-throughput genetic sequences for quantifying antimicrobial resistance reduction in Canadian hog barns. Computational and Structural Biotechnology Journal. 18. 2629–2638. 9 indexed citations
9.
Predicala, Bernardo, et al.. (2019). Occupational Exposure Risk for Swine Workers in Confined Housing Facilities. Journal of Agricultural Safety and Health. 25(1). 37–50. 8 indexed citations
10.
Predicala, Bernardo, et al.. (2017). Control of Gas and Odor Levels in Swine Facilities Using Filters with Zinc Oxide Nanoparticles. Transactions of the ASABE. 60(3). 943–956. 6 indexed citations
11.
Rezaei, Ebrahim, et al.. (2016). Evaluation of metal oxide nanoparticles for adsorption of gas phase ammonia. Journal of environmental chemical engineering. 5(1). 422–431. 40 indexed citations
12.
Nemati, Mehdi, et al.. (2014). Biokinetic evaluation of fatty acids degradation in microbial fuel cell type bioreactors. Bioprocess and Biosystems Engineering. 38(1). 25–38. 7 indexed citations
13.
14.
Predicala, Bernardo, et al.. (2009). Laboratory, semi-pilot and room scale study of nitrite and molybdate mediated control of H2S emission from swine manure. Bioresource Technology. 101(7). 2141–2151. 17 indexed citations
15.
Senthilselvan, Ambikaipakan, Shelley Kirychuk, Bernardo Predicala, et al.. (2009). Gender-Related Tumor Necrosis Factor-α Responses in Naïve Volunteers With Toll-Like Receptor 4 Polymorphisms Exposed in a Swine Confinement Facility. Journal of Interferon & Cytokine Research. 29(12). 781–790. 9 indexed citations
16.
Senthilselvan, Ambikaipakan, James A. Dosman, Lauranell H. Burch, et al.. (2009). Toll-like receptor 4 variants reduce airway response in human subjects at high endotoxin levels in a swine facility. Journal of Allergy and Clinical Immunology. 123(5). 1034–1040.e2. 27 indexed citations
17.
Xing, Yi, et al.. (2007). Sensitivities of Four Air Dispersion Models to Climatic Parameters for Swine Odor Dispersion. Transactions of the ASABE. 50(3). 1007–1017. 12 indexed citations
18.
Predicala, Bernardo, et al.. (2007). Control of H2S emission from swine manure using Na-nitrite and Na-molybdate. Journal of Hazardous Materials. 154(1-3). 300–309. 38 indexed citations
19.
Predicala, Bernardo, et al.. (2002). Assessment of Bioaerosols in Swine Barns by Filtration and Impaction. Current Microbiology. 44(2). 136–140. 68 indexed citations
20.
Predicala, Bernardo, et al.. (2001). Comparison of bioaerosol sampling methods for swine barns. Kansas Agricultural Experiment Station Research Reports. 127–130. 1 indexed citations

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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