Jan Philipps

531 citations
21 papers · 145 · h-index 8

Impact in

Papers in

Jan Philipps

17 papers receiving 118 citations

Peers

Jan Philipps
Comparison fields: 5 of 32
  • Software 76
  • Safety, Risk, Reliability and Quality 25
  • Computational Theory and Mathematics 32
  • Hardware and Architecture 13
  • Catalysis 12
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Citations per field
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Citations per year

Countries citing papers authored by Jan Philipps

Since Specialization
Citations

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

Fields of papers citing papers by Jan Philipps

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200322
2 201919
3 201517
4 200312
5 200211
6 200311
7 200410
8 20218
9 20097
10 20206
11
An Empirical Investigation of the Defect Detection Capabilities of Requirements Specification Languages
20015
12
Eine vergleichende Fallstudie von acht CASE-Werkzeugen für formale und semi-formale Beschreibungstechniken.
19994
13
Diagrams for Dataflow.
20004
14
Szenarien modellbasierten Testens
20023
15
Black Box Views of State Machines
19992
16 19982
17 20171
18
Model Based Software and Systems Development
20041
19 20240
20
The Automotive CASE
20030

About Jan Philipps

Jan Philipps is a scholar working on Software, Computational Theory and Mathematics, Hardware and Architecture, Artificial Intelligence and Information Systems, having authored 21 papers that have together received 145 indexed citations. Recurring topics across this work include Formal Methods in Verification (9 papers), Model-Driven Software Engineering Techniques (8 papers), Software Testing and Debugging Techniques (8 papers), Embedded Systems Design Techniques (4 papers), Software Reliability and Analysis Research (4 papers), Industrial Vision Systems and Defect Detection (3 papers), Advanced Software Engineering Methodologies (3 papers) and Image and Object Detection Techniques (2 papers). The work is most often cited by research in Software (76 citations), Safety, Risk, Reliability and Quality (25 citations), Computational Theory and Mathematics (32 citations), Hardware and Architecture (13 citations) and Catalysis (12 citations). Jan Philipps has collaborated with scholars based in Germany, Italy and Switzerland. Frequent co-authors include Alexander Pretschner, Oscar Slotosch, Bernhard Schätz, Andreas Vogelsang, Kay-Ulrich Scholl, Jörg Krüger, Gerald J. Hahn, Thomas Stauner, Erik Kamsties and Peter Braun. Their work appears in journals such as ChemCatChem, SAE technical papers on CD-ROM/SAE technical paper series, Blood, Journal of Systems and Software and Electronic Notes in Theoretical Computer Science.

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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