Kristian Torp
- Signal Processing top 5%
- Computer Networks and Communications top 5%
- Transportation top 5%
- Artificial Intelligence top 10%
- Automotive Engineering top 10%
- Co-authors
- Christian S. JensenOve AndersenBin YangChenjuan GuoRichard T. SnodgrassMichael H. BöhlenNikos PelekisYannis Theodoridis
- Topics
- Data Management and Algorithms (26 papers)Advanced Database Systems and Queries (20 papers)Traffic Prediction and Management Techniques (14 papers)
- Partner nations
- DenmarkBelgiumUnited States
In The Last Decade
Kristian Torp
47 papers receiving 484 citations
Peers
Comparison fields: 5 of 47
- Signal Processing 241
- Computer Networks and Communications 210
- Transportation 138
- Artificial Intelligence 121
- Automotive Engineering 116
Countries citing papers authored by Kristian Torp
This map shows the geographic impact of Kristian Torp'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 Kristian Torp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kristian Torp more than expected).
Fields of papers citing papers by Kristian Torp
This network shows the impact of papers produced by Kristian Torp. 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 Kristian Torp. The network helps show where Kristian Torp may publish in the future.
Co-authorship network of co-authors of Kristian Torp
This figure shows the co-authorship network connecting the top 25 collaborators of Kristian Torp. A scholar is included among the top collaborators of Kristian Torp 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 Kristian Torp. Kristian Torp is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 5 | |
| 7 | 12 | |
| 8 | 0 | |
| 9 | SimpleETL: ETL Processing by Simple Specifications | 4 |
| 10 | 10 | |
| 11 | 47 | |
| 12 | 52 | |
| 13 | 21 | |
| 14 | 1 | |
| 15 | 55 | |
| 16 | Travel Times, Congestion Levels, and Delays at Intersections Calculated on the Basis of Floating Car Data | 0 |
| 17 | 76 | |
| 18 | 2 | |
| 19 | Supporting Temporal Data Management Applications via Stratum Approaches | 0 |
| 20 | 12 |
About Kristian Torp
Kristian Torp is a scholar working on Signal Processing, Transportation and Building and Construction, having authored 56 papers that have together received 517 indexed citations. Recurring topics across this work include Data Management and Algorithms (26 papers), Advanced Database Systems and Queries (20 papers) and Traffic Prediction and Management Techniques (14 papers). The work is most often cited by research in Signal Processing (241 citations), Transportation (138 citations) and Automotive Engineering (116 citations). Kristian Torp has collaborated with scholars based in Denmark, Belgium and United States. Frequent co-authors include Christian S. Jensen, Ove Andersen, Bin Yang, Chenjuan Guo, Richard T. Snodgrass, Michael H. Böhlen, Nikos Pelekis, Yannis Theodoridis, Christian Thomsen and Simonas Šaltenis. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, The VLDB Journal and Information Systems.
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.