Uta Priss

1.1k citations
66 papers · 862 · h-index 12

Impact in

Papers in

Uta Priss

62 papers receiving 812 citations

Peers

Uta Priss
Comparison fields: 5 of 81
  • Computational Theory and Mathematics 438
  • Artificial Intelligence 586
  • Signal Processing 130
  • Information Systems 221
  • Management Science and Operations Research 55
Replace Maseud Rahgozar with:
Maseud Rahgozar Iran
Klaus U. Schulz Germany
Matthias Thimm Germany
Tyne Liang Taiwan
Sachindra Joshi India
Simon Andrews United Kingdom
Marcelo Finger Brazil
Fedja Hadzic Australia
Harry S. Delugach United States
Anke van Zuylen United States
Uta Priss relative to Maseud Rahgozar Iran Maseud Rahgozar's profile →
Citations per field
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Maseud Rahgozar · 1×
Citations per year

Countries citing papers authored by Uta Priss

Since Specialization
Citations

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

Fields of papers citing papers by Uta Priss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Uta Priss, 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 Uta Priss Line = papers co-authored together Uta Priss links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006245
2
Dynamic epistemic logic and knowledge puzzles
2007156
3 200293
4 200544
5
Lattice-based Information Retrieval
200036
6 200821
7
Utilizing Faceted Structures for Information Systems Design.
199920
8 200913
9
A Graphical Interface for Document Retrieval Based on Formal Concept Analysis
200213
10 201711
11 200511
12 200311
13
Using FCA for Modelling Conceptual Difficulties in Learning Processes
201211
14 19999
15 20208
16 20048
17 20028
18
FCA Software Interoperability
20087
19 20107
20 20137

About Uta Priss

Uta Priss is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Molecular Biology, Computer Networks and Communications and Signal Processing, having authored 66 papers that have together received 862 indexed citations. Recurring topics across this work include Rough Sets and Fuzzy Logic (31 papers), Semantic Web and Ontologies (31 papers), Biomedical Text Mining and Ontologies (12 papers), Natural Language Processing Techniques (11 papers), Data Management and Algorithms (6 papers), Data Mining Algorithms and Applications (5 papers), Advanced Database Systems and Queries (4 papers) and Teaching and Learning Programming (4 papers). The work is most often cited by research in Computational Theory and Mathematics (438 citations), Artificial Intelligence (586 citations), Signal Processing (130 citations), Information Systems (221 citations) and Management Science and Operations Research (55 citations). Uta Priss has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Dan Corbett, Galia Angelova, Simon Polovina, Hans van Ditmarsch, Wiebe van der Hoek, Barteld Kooi, Lloyd J. Old, Péter Földiák, Dominik Endres and Elin K. Jacob. Their work appears in journals such as Lecture notes in computer science, International Journal of General Systems, Axiomathes, Annals of Mathematics and Artificial Intelligence and Computational Intelligence.

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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