O.D. Quiroga

409 citations
24 papers · 322 · h-index 8

Impact in

Papers in

O.D. Quiroga

22 papers receiving 306 citations

Peers

O.D. Quiroga
Comparison fields: 5 of 59
  • Water Science and Technology 108
  • Industrial and Manufacturing Engineering 39
  • Mechanical Engineering 123
  • Fluid Flow and Transfer Processes 19
  • Analytical Chemistry 26
Replace Naim M. Faqir with:
Naim M. Faqir Jordan
Laurent Cavin Switzerland
Juan J. Torres Argentina
Н. Н. Кулов Russia
Mariusz B. Bogacki Poland
Ion Ion Romania
G. Woźny Germany
Yuanyi Wu Canada
Peter J. Jansens Netherlands
O.D. Quiroga relative to Naim M. Faqir Jordan Naim M. Faqir's profile →
Citations per field
00.5×4.9×
Naim M. Faqir · 1×
Citations per year

Countries citing papers authored by O.D. Quiroga

Since Specialization
Citations

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

Fields of papers citing papers by O.D. Quiroga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by O.D. Quiroga. 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 O.D. Quiroga. The network helps show where O.D. Quiroga may publish in the future.

Co-authors

The 14 scholars most cited alongside O.D. Quiroga, 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 O.D. Quiroga Line = papers co-authored together O.D. Quiroga links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1981132
2 201039
3 198127
4 200225
5 200023
6 200620
7 198314
8 19918
9 20055
10 19785
11 19944
12
Carbochlorination of molybdenum trioxide: kinetic treatment
20033
13 19793
14 19783
15
Identification of partially known models of the Susqueda hidroelectric power plant
20032
16 20012
17 20062
18 20221
19 20241
20 19951

About O.D. Quiroga

O.D. Quiroga is a scholar working on Mechanical Engineering, Biomedical Engineering, Materials Chemistry, Computational Mechanics and Catalysis, having authored 24 papers that have together received 322 indexed citations. Recurring topics across this work include Fluid Dynamics and Turbulent Flows (4 papers), Business, Innovation, and Economy (3 papers), Scheduling and Optimization Algorithms (3 papers), Catalysis and Hydrodesulfurization Studies (3 papers), Metal Extraction and Bioleaching (3 papers), Catalysis and Oxidation Reactions (3 papers), Thermal and Kinetic Analysis (3 papers) and Metallurgical Processes and Thermodynamics (2 papers). The work is most often cited by research in Water Science and Technology (108 citations), Industrial and Manufacturing Engineering (39 citations), Mechanical Engineering (123 citations), Fluid Flow and Transfer Processes (19 citations) and Analytical Chemistry (26 citations). O.D. Quiroga has collaborated with scholars based in Argentina, Colombia and Spain. Frequent co-authors include J.C. Gottifredi, Elio E. Gonzo, Gabriela P. Henning, Luis J. Zeballos, Juan B. Rivarola, Manuel W. Ojeda, María Pía Rodríguez, María del Carmen Ruiz, Jordi Riera and Carles Batlle. Their work appears in journals such as International Journal of Heat and Mass Transfer, Chemical Engineering Science, Hydrometallurgy, Engineering Applications of Artificial Intelligence and Metallurgical and Materials Transactions B.

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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