Christian Gomes
- Artificial Intelligence top 10%
- Molecular Biology
- Cellular and Molecular Neuroscience
- Information Systems
- General Social Sciences top 2%
- Co-authors
- Gustaf TrolinMarcos André GonçalvesLeonardo RochaFelipe ViegasSérgio CanutoThierson Couto RosaAlberto CoustasseVítor Mangaravite
- Topics
- Topic Modeling (7 papers)Text and Document Classification Technologies (7 papers)Advanced Text Analysis Techniques (6 papers)
- Journals
- Cellular and Molecular Life SciencesChemometrics and Intelligent Laboratory SystemsInformation Processing & Management
- Partner nations
- BrazilUnited StatesSweden
In The Last Decade
Christian Gomes
21 papers receiving 291 citations
Peers
Comparison fields: 5 of 96
- Artificial Intelligence 138
- Molecular Biology 52
- Cellular and Molecular Neuroscience 44
- Information Systems 42
- General Social Sciences 26
Countries citing papers authored by Christian Gomes
This map shows the geographic impact of Christian Gomes'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 Christian Gomes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christian Gomes more than expected).
Fields of papers citing papers by Christian Gomes
This network shows the impact of papers produced by Christian Gomes. 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 Christian Gomes. The network helps show where Christian Gomes may publish in the future.
Co-authorship network of co-authors of Christian Gomes
This figure shows the co-authorship network connecting the top 25 collaborators of Christian Gomes. A scholar is included among the top collaborators of Christian Gomes 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 Christian Gomes. Christian Gomes is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | 56 | |
| 6 | 21 | |
| 7 | 34 | |
| 8 | 3 | |
| 9 | 2 | |
| 10 | 9 | |
| 11 | 5 | |
| 12 | 17 | |
| 13 | 31 | |
| 14 | 14 | |
| 15 | 4 | |
| 16 | 4 | |
| 17 | 15 | |
| 18 | 12 | |
| 19 | 13 | |
| 20 | 18 |
About Christian Gomes
Christian Gomes is a scholar working on Medical Laboratory Technology, Health Information Management and General Social Sciences, having authored 22 papers that have together received 306 indexed citations. Recurring topics across this work include Topic Modeling (7 papers), Text and Document Classification Technologies (7 papers) and Advanced Text Analysis Techniques (6 papers). The work is most often cited by research in General Social Sciences (26 citations), Artificial Intelligence (138 citations) and Cellular and Molecular Neuroscience (44 citations). Christian Gomes has collaborated with scholars based in Brazil, United States and Sweden. Frequent co-authors include Gustaf Trolin, Marcos André Gonçalves, Leonardo Rocha, Felipe Viegas, Sérgio Canuto, Thierson Couto Rosa, Alberto Coustasse, Vítor Mangaravite, C. R. S. Machado and Ângelo B. M. Machado. Their work appears in journals such as Cellular and Molecular Life Sciences, Chemometrics and Intelligent Laboratory Systems and Information Processing & Management.
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.