Alejandro Ramírez
Impact in
- Pollution top 2%
- Pharmaceutical and Antibiotic Environmental Impacts
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- Environmental Toxicology and Ecotoxicology
- Effects and risks of endocrine disrupting chemicals
Papers in
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- Semantic Web and Ontologies 1
- Artificial Intelligence in Games 1
- Co-authors
- Russell J. Lewis (1 shared paper)Kenneth E. Banks (1 shared paper)C. Kevin Chambliss (1 shared paper)Bryan W. Brooks (1 shared paper)Robert D. Johnson (1 shared paper)Jacob K. Stanley (1 shared paper)Vadim Bulitko (1 shared paper)Elisa Morales (1 shared paper)
- Journals
- Environmental Toxicology and Chemistry (1 paper)Journal of the American College of Nutrition (1 paper)Journal of Physics Conference Series (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (1 paper)
- Partner nations
- United StatesMexicoCanada
In The Last Decade
Alejandro Ramírez
4 papers receiving 443 citations
Peers
Comparison fields: 5 of 75
- Pollution 347
- Health, Toxicology and Mutagenesis 163
- Analytical Chemistry 108
- Animal Science and Zoology 74
- Physiology 28
Countries citing papers authored by Alejandro Ramírez
This map shows the geographic impact of Alejandro Ramírez'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 Alejandro Ramírez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alejandro Ramírez more than expected).
Fields of papers citing papers by Alejandro Ramírez
This network shows the impact of papers produced by Alejandro Ramírez. 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 Alejandro Ramírez. The network helps show where Alejandro Ramírez may publish in the future.
Co-authors
The 15 scholars most cited alongside Alejandro Ramírez, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 432 | |
| 2 | 2017 | 18 | |
| 3 | 2012 | 7 | |
| 4 | Hypermedia Aids for Advanced Learning in Complex and Ill-Structured Knowledge Domains. | 1998 | 1 |
| 5 | 2021 | 0 |
About Alejandro Ramírez
Alejandro Ramírez is a scholar working on Artificial Intelligence, Pollution, Sociology and Political Science, Computer Vision and Pattern Recognition and Health, Toxicology and Mutagenesis, having authored 5 papers that have together received 458 indexed citations. Recurring topics across this work include Muscle metabolism and nutrition (1 paper), Semantic Web and Ontologies (1 paper), Advanced Statistical Process Monitoring (1 paper), Artificial Intelligence in Games (1 paper), Aquaculture disease management and microbiota (1 paper), Environmental Toxicology and Ecotoxicology (1 paper), Digital Games and Media (1 paper) and Video Analysis and Summarization (1 paper). The work is most often cited by research in Pollution (347 citations), Health, Toxicology and Mutagenesis (163 citations), Analytical Chemistry (108 citations), Animal Science and Zoology (74 citations) and Physiology (28 citations). Alejandro Ramírez has collaborated with scholars based in United States, Mexico and Canada. Frequent co-authors include Russell J. Lewis, Kenneth E. Banks, C. Kevin Chambliss, Bryan W. Brooks, Robert D. Johnson, Jacob K. Stanley, Vadim Bulitko, Elisa Morales, Paul S. Hwang and Peter W. Grandjean. Their work appears in journals such as Environmental Toxicology and Chemistry, Journal of the American College of Nutrition, Journal of Physics Conference Series and Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment.
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.