Peter Schneider–Kamp

2.7k total citations
53 papers, 446 citations indexed

About

Peter Schneider–Kamp is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Networks and Communications. According to data from OpenAlex, Peter Schneider–Kamp has authored 53 papers receiving a total of 446 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Artificial Intelligence, 20 papers in Computational Theory and Mathematics and 8 papers in Computer Networks and Communications. Recurrent topics in Peter Schneider–Kamp's work include Logic, programming, and type systems (20 papers), Logic, Reasoning, and Knowledge (15 papers) and Formal Methods in Verification (13 papers). Peter Schneider–Kamp is often cited by papers focused on Logic, programming, and type systems (20 papers), Logic, Reasoning, and Knowledge (15 papers) and Formal Methods in Verification (13 papers). Peter Schneider–Kamp collaborates with scholars based in Denmark, Germany and Austria. Peter Schneider–Kamp's co-authors include Jürgen Giesl, René Thiemann, Stephan Falke, Luı́s Cruz-Filipe, Thomas Ströder, Arthur Zimek, Alexander Serebrenik, Michael Codish, Carsten Fuhs and Anna Schneider‐Kamp and has published in prestigious journals such as SHILAP Revista de lepidopterología, ACM Computing Surveys and Applied Sciences.

In The Last Decade

Peter Schneider–Kamp

48 papers receiving 429 citations

Peers

Peter Schneider–Kamp
Comparison fields: 5 of 80
  • Artificial Intelligence 273
  • Computational Theory and Mathematics 160
  • Computer Networks and Communications 60
  • Computer Vision and Pattern Recognition 56
  • Software 47
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Citations per field, relative to Peter Schneider–Kamp
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Citations per year, relative to Peter Schneider–Kamp
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Countries citing papers authored by Peter Schneider–Kamp

Since Specialization
Citations

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

Fields of papers citing papers by Peter Schneider–Kamp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter Schneider–Kamp. 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 Peter Schneider–Kamp. The network helps show where Peter Schneider–Kamp may publish in the future.

Co-authorship network of co-authors of Peter Schneider–Kamp

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 2
2 1
3 3
4 3
5 3
6 32
7 4
8 17
9 6
10 5
11 12
12 0
13 1
14 0
15 8
16 9
17 8
18 3
19 1
20
An analysis of Critical Chain concepts in the context of their possible application to traditional project management
1

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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