Marcin Sydow
Impact in
- Artificial Intelligence top 5%
- Topic Modeling
- Semantic Web and Ontologies
- Advanced Graph Neural Networks
- Information Systems top 5%
- Web Data Mining and Analysis
- Spam and Phishing Detection
Papers in
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- Semantic Web and Ontologies 8
- Topic Modeling 7
- Authorship Attribution and Profiling 4
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- Web Data Mining and Analysis 10
- Web visibility and informetrics 4
- Co-authors
- Ralf Schenkel (8 shared papers)Jakub Piskorski (4 shared papers)Dawid Weiss (2 shared papers)Érico N. de Souza (1 shared paper)Stan Matwin (1 shared paper)Adam Wierzbicki (1 shared paper)Shady Elbassuoni (1 shared paper)Maya Ramanath (1 shared paper)
- Journals
- Journal of Intelligent Information Systems (3 papers)Information Retrieval (1 paper)PLoS ONE (1 paper)Fundamenta Informaticae (2 papers)SHILAP Revista de lepidopterología (3 papers)
In The Last Decade
Marcin Sydow
32 papers receiving 370 citations
Peers
Comparison fields: 5 of 55
- Artificial Intelligence 245
- Information Systems 164
- Management Science and Operations Research 81
- Signal Processing 68
- Communication 26
Countries citing papers authored by Marcin Sydow
This map shows the geographic impact of Marcin Sydow'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 Marcin Sydow with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marcin Sydow more than expected).
Fields of papers citing papers by Marcin Sydow
This network shows the impact of papers produced by Marcin Sydow. 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 Marcin Sydow. The network helps show where Marcin Sydow may publish in the future.
Co-authors
The 22 scholars most cited alongside Marcin Sydow, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 61 | |
| 2 | 2009 | 52 | |
| 3 | 2008 | 51 | |
| 4 | 2013 | 39 | |
| 5 | 2009 | 36 | |
| 6 | 2009 | 20 | |
| 7 | 2004 | 16 | |
| 8 | 2014 | 16 | |
| 9 | 2013 | 16 | |
| 10 | 2016 | 11 | |
| 11 | 2017 | 10 | |
| 12 | 2018 | 8 | |
| 13 | 2007 | 7 | |
| 14 | 2010 | 7 | |
| 15 | 2008 | 6 | |
| 16 | 2021 | 6 | |
| 17 | 2015 | 6 | |
| 18 | Application of ant-colony optimisation to compute diversified entity summarisation on semantic knowledge graphs | 2013 | 5 |
| 19 | 2015 | 3 | |
| 20 | “CRAWL.PL” Measuring Statistical and Structural Properties of the Polish Web : Technical Report | 2007 | 2 |
About Marcin Sydow
Marcin Sydow is a scholar working on Artificial Intelligence, Information Systems, Management Science and Operations Research, Statistical and Nonlinear Physics and Signal Processing, having authored 32 papers that have together received 397 indexed citations. Recurring topics across this work include Web Data Mining and Analysis (10 papers), Semantic Web and Ontologies (8 papers), Data Quality and Management (8 papers), Topic Modeling (7 papers), Authorship Attribution and Profiling (4 papers), Complex Network Analysis Techniques (4 papers), Web visibility and informetrics (4 papers) and Data Management and Algorithms (3 papers). The work is most often cited by research in Artificial Intelligence (245 citations), Information Systems (164 citations), Management Science and Operations Research (81 citations), Signal Processing (68 citations) and Communication (26 citations). Marcin Sydow has collaborated with scholars based in Poland, Germany and Italy. Frequent co-authors include Ralf Schenkel, Jakub Piskorski, Dawid Weiss, Érico N. de Souza, Stan Matwin, Adam Wierzbicki, Shady Elbassuoni, Maya Ramanath, Gerhard Weikum and Paweł Teisseyre. Their work appears in journals such as Journal of Intelligent Information Systems, Information Retrieval, PLoS ONE, Fundamenta Informaticae and SHILAP Revista de lepidopterología.
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.