Karl Krukow
- Sociology and Political Science top 5%
- Artificial Intelligence top 5%
- Computer Networks and Communications top 10%
- Information Systems top 5%
- Information Systems and Management
- Co-authors
- Mogens NielsenVladimiro SassoneAndrew TwiggBrian ShandJean-Marc SeigneurC. EnglishYong ChenVinny Cahill
- Topics
- Access Control and Trust (17 papers)Cryptography and Data Security (13 papers)Security and Verification in Computing (8 papers)
- Journals
- Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering SciencesTheoretical Computer ScienceIEEE Pervasive Computing
- Partner nations
- United KingdomDenmarkSwitzerland
In The Last Decade
Karl Krukow
17 papers receiving 361 citations
Peers
Comparison fields: 5 of 53
- Sociology and Political Science 267
- Artificial Intelligence 238
- Computer Networks and Communications 160
- Information Systems 150
- Information Systems and Management 20
Countries citing papers authored by Karl Krukow
This map shows the geographic impact of Karl Krukow'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 Karl Krukow with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karl Krukow more than expected).
Fields of papers citing papers by Karl Krukow
This network shows the impact of papers produced by Karl Krukow. 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 Karl Krukow. The network helps show where Karl Krukow may publish in the future.
Co-authorship network of co-authors of Karl Krukow
This figure shows the co-authorship network connecting the top 25 collaborators of Karl Krukow. A scholar is included among the top collaborators of Karl Krukow 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 Karl Krukow. Karl Krukow is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 25 | |
| 3 | Probabilistic Computational Trust | 2 |
| 4 | 18 | |
| 5 | 24 | |
| 6 | 2 | |
| 7 | 45 | |
| 8 | A Logical Framework for Reputation Systems | 1 |
| 9 | 11 | |
| 10 | 18 | |
| 11 | A Formal Framework for Concrete Reputation Systems | 1 |
| 12 | 3 | |
| 13 | 24 | |
| 14 | 3 | |
| 15 | 17 | |
| 16 | 206 | |
| 17 | 13 |
About Karl Krukow
Karl Krukow is a scholar working on Artificial Intelligence, Sociology and Political Science and Information Systems, having authored 17 papers that have together received 416 indexed citations. Recurring topics across this work include Access Control and Trust (17 papers), Cryptography and Data Security (13 papers) and Security and Verification in Computing (8 papers). The work is most often cited by research in Artificial Intelligence (238 citations), Computer Networks and Communications (160 citations) and Information Systems (150 citations). Karl Krukow has collaborated with scholars based in United Kingdom, Denmark and Switzerland. Frequent co-authors include Mogens Nielsen, Vladimiro Sassone, Andrew Twigg, Brian Shand, Jean-Marc Seigneur, C. English, Yong Chen, Vinny Cahill, Elizabeth Gray and Sotirios Terzis. Their work appears in journals such as Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences, Theoretical Computer Science and IEEE Pervasive Computing.
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.