Kristian Torp

905 total citations
56 papers, 517 citations indexed

About

Kristian Torp is a scholar working on Signal Processing, Computer Networks and Communications and Building and Construction. According to data from OpenAlex, Kristian Torp has authored 56 papers receiving a total of 517 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Signal Processing, 23 papers in Computer Networks and Communications and 14 papers in Building and Construction. Recurrent topics in Kristian Torp's work include Data Management and Algorithms (26 papers), Advanced Database Systems and Queries (20 papers) and Traffic Prediction and Management Techniques (14 papers). Kristian Torp is often cited by papers focused on Data Management and Algorithms (26 papers), Advanced Database Systems and Queries (20 papers) and Traffic Prediction and Management Techniques (14 papers). Kristian Torp collaborates with scholars based in Denmark, Belgium and United States. Kristian Torp's 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 and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, The VLDB Journal and Information Systems.

In The Last Decade

Kristian Torp

47 papers receiving 484 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kristian Torp Denmark 11 241 210 138 121 116 56 517
Zonghui Wang China 10 121 0.5× 142 0.7× 307 2.2× 156 1.3× 141 1.2× 45 658
Joris Kinable United States 13 141 0.6× 145 0.7× 98 0.7× 75 0.6× 214 1.8× 23 702
Sijie Ruan China 16 268 1.1× 116 0.6× 349 2.5× 102 0.8× 86 0.7× 37 731
Tianfu He China 12 172 0.7× 76 0.4× 284 2.1× 57 0.5× 69 0.6× 20 521
Mercedes Valdés-Vela Spain 11 64 0.3× 119 0.6× 87 0.6× 83 0.7× 44 0.4× 26 460
Haitao Yuan China 10 197 0.8× 104 0.5× 195 1.4× 198 1.6× 24 0.2× 19 579
Thomas Pajor Germany 11 172 0.7× 76 0.4× 190 1.4× 23 0.2× 161 1.4× 23 406
Huan Yan China 12 117 0.5× 137 0.7× 225 1.6× 147 1.2× 35 0.3× 49 671
Hitoshi Kanoh Japan 9 82 0.3× 56 0.3× 76 0.6× 79 0.7× 41 0.4× 42 313
Bei Pan United States 7 141 0.6× 53 0.3× 338 2.4× 118 1.0× 30 0.3× 8 536

Countries citing papers authored by Kristian Torp

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Šaltenis, Simonas, et al.. (2025). Few-Shot Learning for Triplet-Based EV Energy Consumption Estimation. Applied Artificial Intelligence. 39(1).
2.
Wu, Song, et al.. (2024). Uncertainty-Aware Ship Location Estimation using Multiple Cameras in Coastal Areas. Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles). 109–118. 1 indexed citations
3.
Wu, Song, Kristian Torp, Mahmoud Sakr, & Esteban Zimányi. (2023). Evaluation of Vessel CO2 Emissions Methods using AIS Trajectories. VBN Forskningsportal (Aalborg Universitet). 65–74. 5 indexed citations
4.
Zimányi, Esteban, et al.. (2022). Speed and energy consumption for electrical vehicles. VBN Forskningsportal (Aalborg Universitet). 1–10. 1 indexed citations
5.
Šaltenis, Simonas, et al.. (2021). Probabilistic Deep Learning for Electric-Vehicle Energy-Use Prediction. VBN Forskningsportal (Aalborg Universitet). 85–95. 12 indexed citations
6.
Torp, Kristian & Harry Lahrmann. (2020). Metode til beregning af køretider, trængsel og forsinkelser i kryds vha. GPS Data. VBN Forskningsportal (Aalborg Universitet).
7.
Torp, Kristian, et al.. (2020). Geolocating Traffic Signs using Crowd-Sourced Imagery. VBN Forskningsportal (Aalborg Universitet). 199–202. 2 indexed citations
8.
Andersen, Ove, Christian Thomsen, & Kristian Torp. (2018). SimpleETL: ETL Processing by Simple Specifications. VBN Forskningsportal (Aalborg Universitet). 4 indexed citations
9.
Jensen, Christian S., et al.. (2018). On Network Embedding for Machine Learning on Road Networks: A Case Study on the Danish Road Network. arXiv (Cornell University). 3422–3431. 10 indexed citations
10.
Guo, Chenjuan, Bin Yang, Ove Andersen, Christian S. Jensen, & Kristian Torp. (2015). EcoSky: Reducing vehicular environmental impact through eco-routing. VBN Forskningsportal (Aalborg Universitet). 1412–1415. 47 indexed citations
11.
Guo, Chenjuan, Bin Yang, Ove Andersen, Christian S. Jensen, & Kristian Torp. (2014). EcoMark 2.0: empowering eco-routing with vehicular environmental models and actual vehicle fuel consumption data. GeoInformatica. 19(3). 567–599. 52 indexed citations
12.
Pelekis, Nikos, et al.. (2014). Path-based queries on trajectory data. VBN Forskningsportal (Aalborg Universitet). 341–350. 21 indexed citations
13.
Andersen, Ove, et al.. (2014). Efficient one-click browsing of large trajectory sets. VBN Forskningsportal (Aalborg Universitet). 569–572. 1 indexed citations
14.
Andersen, Ove, Christian S. Jensen, Kristian Torp, & Bin Yang. (2013). EcoTour: Reducing the Environmental Footprint of Vehicles Using Eco-routes. VBN Forskningsportal (Aalborg Universitet). 55 indexed citations
15.
Lahrmann, Harry & Kristian Torp. (2010). Travel Times, Congestion Levels, and Delays at Intersections Calculated on the Basis of Floating Car Data. VBN Forskningsportal (Aalborg Universitet). 2010.
16.
Torp, Kristian, et al.. (2006). Simple and realistic data generation. Very Large Data Bases. 1243–1246. 76 indexed citations
17.
Nascimento, Mário A., Margaret H. Dunham, Michael H. Böhlen, et al.. (2003). Indexing Valid Time Databases Via B -trees – The MAP21 Approach. BMC Ophthalmology. 22(1). 367–367. 2 indexed citations
18.
Khatri, Vijay, Sudha Ram, Richard T. Snodgrass, et al.. (2001). ST USM: Bridging the Semantic Gap with a Spatio-Temporal Conceptual Model. 5 indexed citations
19.
Torp, Kristian, Christian S. Jensen, & Richard T. Snodgrass. (1998). Supporting Temporal Data Management Applications via Stratum Approaches. VBN Forskningsportal (Aalborg Universitet).
20.
Torp, Kristian, Christian S. Jensen, & Michael H. Böhlen. (1997). Layered Temporal DBMS's—Concepts and Techniques. 371–380. 12 indexed citations

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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