Fernando Schapachnik
- Artificial Intelligence top 10%
- Computer Science Applications top 5%
- Information Systems
- Developmental and Educational Psychology
- Computational Theory and Mathematics
- Co-authors
- Luciana BenottiMaría Cecilia MartínezVı́ctor BrabermanAlfredo OliveroGordon J. PaceGerardo SchneiderNatasha AlechinaBrian Logan
- Topics
- Model-Driven Software Engineering Techniques (6 papers)Formal Methods in Verification (6 papers)Software Testing and Debugging Techniques (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaCommunications of the ACMIEEE Transactions on Learning Technologies
In The Last Decade
Fernando Schapachnik
14 papers receiving 181 citations
Peers
Comparison fields: 5 of 42
- Artificial Intelligence 112
- Computer Science Applications 94
- Information Systems 39
- Developmental and Educational Psychology 21
- Computational Theory and Mathematics 19
Countries citing papers authored by Fernando Schapachnik
This map shows the geographic impact of Fernando Schapachnik'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 Fernando Schapachnik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fernando Schapachnik more than expected).
Fields of papers citing papers by Fernando Schapachnik
This network shows the impact of papers produced by Fernando Schapachnik. 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 Fernando Schapachnik. The network helps show where Fernando Schapachnik may publish in the future.
Co-authorship network of co-authors of Fernando Schapachnik
This figure shows the co-authorship network connecting the top 25 collaborators of Fernando Schapachnik. A scholar is included among the top collaborators of Fernando Schapachnik 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 Fernando Schapachnik. Fernando Schapachnik 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 | 0 | |
| 3 | 1 | |
| 4 | 90 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 14 | |
| 8 | 59 | |
| 9 | 4 | |
| 10 | 1 | |
| 11 | 3 | |
| 12 | 2 | |
| 13 | 2 | |
| 14 | 8 | |
| 15 | 0 | |
| 16 | 5 |
About Fernando Schapachnik
Fernando Schapachnik is a scholar working on Software, Computer Science Applications and Computational Theory and Mathematics, having authored 16 papers that have together received 194 indexed citations. Recurring topics across this work include Model-Driven Software Engineering Techniques (6 papers), Formal Methods in Verification (6 papers) and Software Testing and Debugging Techniques (5 papers). The work is most often cited by research in Computer Science Applications (94 citations), Health Informatics (17 citations) and Software (15 citations). Fernando Schapachnik has collaborated with scholars based in Argentina, Malta and Guyana. Frequent co-authors include Luciana Benotti, María Cecilia Martínez, Vı́ctor Braberman, Alfredo Olivero, Gordon J. Pace, Gerardo Schneider, Natasha Alechina, Brian Logan, Mehdi Dastani and Marina De Vos. Their work appears in journals such as SHILAP Revista de lepidopterología, Communications of the ACM and IEEE Transactions on Learning Technologies.
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.