Petr Knoth

63 papers receiving 484 citations

Peers

Petr Knoth
Comparison fields: 5 of 82
  • Statistics, Probability and Uncertainty 120
  • Health Informatics 22
  • Information Systems and Management 110
  • Information Systems 186
  • Computer Science Applications 40
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Countries citing papers authored by Petr Knoth

Since Specialization
Citations

This map shows the geographic impact of Petr Knoth'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 Petr Knoth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Petr Knoth more than expected).

Fields of papers citing papers by Petr Knoth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Petr Knoth. 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 Petr Knoth. The network helps show where Petr Knoth may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Petr Knoth, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Petr Knoth Line = papers co-authored together Petr Knoth links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20238
2 20235
3 20232
4 20235
5 202233
6 20221
7 202121
8
Deduplication of Scholarly Documents using Locality Sensitive Hashing and Word Embeddings
20204
9
Overview of the 2020 WOSP 3C Citation Context Classification Task
20205
10 20191
11
Mr. DLib's Living Lab for Scholarly Recommendations.
20182
12
Incidental or influential? – A decade of using text-mining for citation function classification.
20178
13
Can we do better than co-citations? Bringing Citation Proximity Analysis from idea to practice in research articles recommendation
20173
14
Developing Infrastructure to Support Closer Collaboration of Aggregators with Open Repositories
20162
15 20153
16
Semantometrics: Fulltext-Based Measures for Analysing Research Collaboration
20151
17
Simple yet effective methods for cross-lingual link discovery (CLLD) - KMI @ NTCIR-10 CrossLink-2
20131
18
Mining Cross-document Relationships from Text
20111
19
KMI, The Open University at NTCIR-9 CrossLink: Cross-Lingual Link Discovery in Wikipedia Using Explicit Semantic Analysis
20115
20
Automatic generation of inter-passage links based on semantic similarity
20103

About Petr Knoth

Petr Knoth is a scholar working on Statistics, Probability and Uncertainty, Information Systems and Management, Artificial Intelligence, Information Systems and Computer Science Applications, having authored 67 papers that have together received 527 indexed citations. Recurring topics across this work include Topic Modeling (19 papers), Semantic Web and Ontologies (19 papers), scientometrics and bibliometrics research (18 papers), Biomedical Text Mining and Ontologies (13 papers), Natural Language Processing Techniques (13 papers), Scientific Computing and Data Management (11 papers), Advanced Text Analysis Techniques (8 papers) and Complex Network Analysis Techniques (4 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (120 citations), Health Informatics (22 citations), Information Systems and Management (110 citations), Information Systems (186 citations) and Computer Science Applications (40 citations). Petr Knoth has collaborated with scholars based in United Kingdom, Austria and Portugal. Frequent co-authors include Drahomíra Herrmannová, Nancy Pontika, Zdeněk Zdráhal, Tony Ross‐Hellauer, Thomas Klebel, Lukáš Žilka, H. Metzler, Robert M. Patton, Birgit Schmidt and Allan Hanbury. Their work appears in journals such as D-Lib Magazine, Quantitative Science Studies, LIBER Quarterly The Journal of the Association of European Research Libraries, Science and Public Policy and IEEE Transactions on Knowledge and Data Engineering.

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.

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