Stanisław Szpakowicz
- Artificial Intelligence top 5%
- Natural Language Processing Techniques 12
- Logic, Reasoning, and Knowledge 5
- Multi-Agent Systems and Negotiation 4
- Semantic Web and Ontologies 3
- AI-based Problem Solving and Planning 3
- Speech and dialogue systems 2
- Linguistics and Language top 10%
- Language and Culture 8
- Language and Linguistics top 10%
- Lexicography and Language Studies 3
Stanisław Szpakowicz
21 papers receiving 211 citations
Peers
Comparison fields: 5 of 41
- Artificial Intelligence 216
- Linguistics and Language 30
- Language and Linguistics 48
- Management Science and Operations Research 27
- Management Information Systems 18
Countries citing papers authored by Stanisław Szpakowicz
This map shows the geographic impact of Stanisław Szpakowicz'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 Stanisław Szpakowicz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stanisław Szpakowicz more than expected).
Fields of papers citing papers by Stanisław Szpakowicz
This network shows the impact of papers produced by Stanisław Szpakowicz. 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 Stanisław Szpakowicz. The network helps show where Stanisław Szpakowicz may publish in the future.
Co-authorship network
The 9 scholars most cited alongside Stanisław Szpakowicz, 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 | 2015 | 7 | |
| 2 | 2015 | 4 | |
| 3 | 2015 | 1 | |
| 4 | 2013 | 26 | |
| 5 | An Implementation of a System of Verb Relations in plWordNet 2.0 | 2012 | 4 |
| 6 | Toward plWordNet 2.0 | 2010 | 3 |
| 7 | A Wordnet from the ground up | 2009 | 47 |
| 8 | Corpus-based Semantic Relatedness for the Construction of PolishWordNet | 2008 | 10 |
| 9 | 2008 | 4 | |
| 10 | Words, Concepts and Relations in the Construction of Polish WordNet | 2008 | 27 |
| 11 | 2002 | 0 | |
| 12 | 2002 | 1 | |
| 13 | Knowledge extraction from text: Machine learning for text-to-rule translation | 1993 | 7 |
| 14 | Machine learning techniques in knowledge acquisition from text | 1992 | 1 |
| 15 | 1991 | 6 | |
| 16 | 1990 | 3 | |
| 17 | 1990 | 3 | |
| 18 | 1989 | 83 | |
| 19 | 1985 | 6 | |
| 20 | 1982 | 3 |
About Stanisław Szpakowicz
Stanisław Szpakowicz is a scholar working on Linguistics and Language, Artificial Intelligence and Language and Linguistics, having authored 22 papers that have together received 248 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (12 papers), Language and Culture (8 papers), Logic, Reasoning, and Knowledge (5 papers), Multi-Agent Systems and Negotiation (4 papers), Lexicography and Language Studies (3 papers), Semantic Web and Ontologies (3 papers), AI-based Problem Solving and Planning (3 papers) and Speech and dialogue systems (2 papers). The work is most often cited by research in Artificial Intelligence (216 citations), Linguistics and Language (30 citations) and Language and Linguistics (48 citations). Stanisław Szpakowicz has collaborated with scholars based in Canada and Poland. Frequent co-authors include Maciej Piasecki, Bartosz Broda, Gregory E. Kersten, Wojtek Michalowski, Stan Matwin, Douglas Skuce, Franz Oppacher, Sylvain Delisle and Ken Barker. Their work appears in journals such as Expert Systems with Applications, Machine Learning and Computers & Mathematics with Applications.
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.