Maciej Janik

458 citations
5 papers · 65 indexed · h-index 4
Topics
Text and Document Classification Technologies (2 papers)Semantic Web and Ontologies (2 papers)Genomics and Phylogenetic Studies (1 paper)
Journals
Informatik-SpektrumJournal of Bioresource Management
Partner nations
United StatesGermany

In The Last Decade

Maciej Janik

5 papers receiving 58 citations

Peers

Maciej Janik
Comparison fields: 5 of 24
  • Artificial Intelligence 48
  • Information Systems 32
  • Communication 7
  • Computer Vision and Pattern Recognition 7
  • Molecular Biology 6
Replace Mohamed Amir Yosef with:
Mohamed Amir Yosef Germany
Ondřej Zamazal Czechia
Guillermo Carrascón Spain
Laure Soulier France
Alexandre Delteil France
Sue Felshin United States
Sven Hertling Germany
Shay Hummel Israel
Mirco Speretta United States
René Arnulfo García-Hernández Mexico
Maciej Janik relative to Mohamed Amir Yosef Germany Mohamed Amir Yosef's profile →
Citations per field
00.5×1.5×2.5×
Mohamed Amir Yosef · 1×
Citations per year

Countries citing papers authored by Maciej Janik

Since Specialization
Citations

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

Fields of papers citing papers by Maciej Janik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maciej Janik

This figure shows the co-authorship network connecting the top 25 collaborators of Maciej Janik. A scholar is included among the top collaborators of Maciej Janik 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 Maciej Janik. Maciej Janik is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

5 of 5 papers shown
#WorkIndexed citations
1 29
2 5
3 26
4 1
5
Peer-to-Peer Discovery of Semantic Associations
4

About Maciej Janik

Maciej Janik is a scholar working on Information Systems and Management, Artificial Intelligence and Information Systems, having authored 5 papers that have together received 65 indexed citations. Recurring topics across this work include Text and Document Classification Technologies (2 papers), Semantic Web and Ontologies (2 papers) and Genomics and Phylogenetic Studies (1 paper). The work is most often cited by research in Artificial Intelligence (48 citations), Information Systems (32 citations) and Communication (7 citations). Maciej Janik has collaborated with scholars based in United States and Germany. Frequent co-authors include Krys J. Kochut, Mehdi Allahyari, Ansgar Scherp, Steffen Staab, C. R. Ramakrishnan, I. Budak Arpinar, Matthew Perry, Amit Sheth, John A. Miller and Amrita Basu. Their work appears in journals such as Informatik-Spektrum and Journal of Bioresource Management.

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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