Nelma Moreira
- Computational Theory and Mathematics top 5%
- Artificial Intelligence top 10%
- Molecular Biology
- Software
- Computer Networks and Communications
- Co-authors
- Rogério ReisEugénio OliveiraRubén RomeroEdgar Manuel Carreño FrancoStavros KonstantinidisYuan GaoJeffrey ShallitSheng Yü
- Topics
- semigroups and automata theory (35 papers)Algorithms and Data Compression (17 papers)DNA and Biological Computing (15 papers)
- Journals
- SHILAP Revista de lepidopterologíaTheoretical Computer ScienceLecture notes in computer science
In The Last Decade
Nelma Moreira
47 papers receiving 203 citations
Peers
Comparison fields: 5 of 41
- Computational Theory and Mathematics 141
- Artificial Intelligence 140
- Molecular Biology 69
- Software 20
- Computer Networks and Communications 18
Countries citing papers authored by Nelma Moreira
This map shows the geographic impact of Nelma Moreira'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 Nelma Moreira with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nelma Moreira more than expected).
Fields of papers citing papers by Nelma Moreira
This network shows the impact of papers produced by Nelma Moreira. 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 Nelma Moreira. The network helps show where Nelma Moreira may publish in the future.
Co-authorship network of co-authors of Nelma Moreira
This figure shows the co-authorship network connecting the top 25 collaborators of Nelma Moreira. A scholar is included among the top collaborators of Nelma Moreira 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 Nelma Moreira. Nelma Moreira is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 5 | |
| 6 | 1 | |
| 7 | On the dissimilarity operation on finite languages | 2 |
| 8 | 2 | |
| 9 | 2 | |
| 10 | 3 | |
| 11 | The Distinguishability Operation On Regular Languages | 2 |
| 12 | 5 | |
| 13 | 1 | |
| 14 | 10 | |
| 15 | Aspects of enumeration and generation with a string automata representation | 0 |
| 16 | 2 | |
| 17 | 18 | |
| 18 | On the density of languages representing finite set partitions. | 4 |
| 19 | 2 | |
| 20 | Distributed database support for a concurrent engineering environment | 1 |
About Nelma Moreira
Nelma Moreira is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Software, having authored 54 papers that have together received 221 indexed citations. Recurring topics across this work include semigroups and automata theory (35 papers), Algorithms and Data Compression (17 papers) and DNA and Biological Computing (15 papers). The work is most often cited by research in Computational Theory and Mathematics (141 citations), Software (20 citations) and Artificial Intelligence (140 citations). Nelma Moreira has collaborated with scholars based in Portugal, Canada and Germany. Frequent co-authors include Rogério Reis, Eugénio Oliveira, Rubén Romero, Edgar Manuel Carreño Franco, Stavros Konstantinidis, Yuan Gao, Jeffrey Shallit, Sheng Yü, Cezar Câmpeanu and Luı́s Damas. Their work appears in journals such as SHILAP Revista de lepidopterología, Theoretical Computer Science and Lecture notes in computer science.
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.