Adrian Paschke

3.2k citations
135 papers · 1.1k · h-index 19

Impact in

Papers in

    • Semantic Web and Ontologies 64
    • Logic, Reasoning, and Knowledge 13
    • Multi-Agent Systems and Negotiation 12
    • Natural Language Processing Techniques 9
    • Service-Oriented Architecture and Web Services 34

Adrian Paschke

116 papers receiving 982 citations

Peers

Adrian Paschke
Comparison fields: 5 of 100
  • Information Systems 454
  • Artificial Intelligence 586
  • Management Information Systems 155
  • Computer Networks and Communications 306
  • Signal Processing 113
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Citations per field
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Citations per year

Countries citing papers authored by Adrian Paschke

Since Specialization
Citations

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

Fields of papers citing papers by Adrian Paschke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Adrian Paschke, 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 Adrian Paschke Line = papers co-authored together Adrian Paschke links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 135 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200869
2 202054
3 202149
4 200942
5 201339
6
A Categorization Scheme for SLA Metrics
200636
7
A Homogeneous Reaction Rule Language for Complex Event Processing
200733
8 202232
9 200629
10 202126
11 202424
12 201224
13 201120
14
A Logic Based SLA Management Framework
200519
15 200919
16 200919
17 201219
18 201019
19 200718
20 201716

About Adrian Paschke

Adrian Paschke is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Management Information Systems and Molecular Biology, having authored 135 papers that have together received 1.1k indexed citations. Recurring topics across this work include Semantic Web and Ontologies (64 papers), Service-Oriented Architecture and Web Services (34 papers), Advanced Database Systems and Queries (26 papers), Business Process Modeling and Analysis (20 papers), Biomedical Text Mining and Ontologies (14 papers), Logic, Reasoning, and Knowledge (13 papers), Multi-Agent Systems and Negotiation (12 papers) and Natural Language Processing Techniques (9 papers). The work is most often cited by research in Information Systems (454 citations), Artificial Intelligence (586 citations), Management Information Systems (155 citations), Computer Networks and Communications (306 citations) and Signal Processing (113 citations). Adrian Paschke has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Martin Bichler, Kia Teymourian, Harold Boley, Elena‐Simona Apostol, Ciprian‐Octavian Truică, Alexander Kozlenkov, Shivam Gupta, Guido Governatori, Jens Dietrich and Nick Bassiliades. Their work appears in journals such as BMC Bioinformatics, Journal of Web Semantics, IEEE Transactions on Knowledge and Data Engineering, International Journal of Information Management and IEEE Access.

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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