Thomas Dall Larsen

9 total papers · 413 total citations
8 papers, 325 citations indexed

About

Thomas Dall Larsen is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Thomas Dall Larsen has authored 8 papers receiving a total of 325 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Aerospace Engineering, 4 papers in Computer Vision and Pattern Recognition and 4 papers in Artificial Intelligence. Recurrent topics in Thomas Dall Larsen's work include Robotics and Sensor-Based Localization (5 papers), Robotic Path Planning Algorithms (4 papers) and Target Tracking and Data Fusion in Sensor Networks (4 papers). Thomas Dall Larsen is often cited by papers focused on Robotics and Sensor-Based Localization (5 papers), Robotic Path Planning Algorithms (4 papers) and Target Tracking and Data Fusion in Sensor Networks (4 papers). Thomas Dall Larsen collaborates with scholars based in Denmark. Thomas Dall Larsen's co-authors include N. Andersen, Ole Ravn, Niels Kjølstad Poulsen, Martin Bak, Kristoffer Lindskov Hansen and M. Nørgaard and has published in prestigious journals such as Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU) and Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.

In The Last Decade

Thomas Dall Larsen

8 papers receiving 305 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Thomas Dall Larsen	158	153	118	101	57	8	325
H.R. Beom	89 0.6×	79 0.5×	115 1.0×	172 1.7×	40 0.7×	8	269
Jing Dong	113 0.7×	146 1.0×	61 0.5×	215 2.1×	48 0.8×	19	320
Bernard Michini	110 0.7×	142 0.9×	43 0.4×	88 0.9×	37 0.6×	8	269
Xingjun Tian	114 0.7×	105 0.7×	62 0.5×	229 2.3×	38 0.7×	13	327
Marco A. Contreras-Cruz	110 0.7×	82 0.5×	93 0.8×	229 2.3×	49 0.9×	13	324
Panos Marantos	205 1.3×	178 1.2×	60 0.5×	99 1.0×	43 0.8×	15	361
Ee Soong Low	95 0.6×	81 0.5×	106 0.9×	226 2.2×	58 1.0×	12	345
Enrico Zenerino	71 0.4×	182 1.2×	38 0.3×	116 1.1×	56 1.0×	10	329
Jae Pil Hwang	119 0.8×	65 0.4×	151 1.3×	98 1.0×	18 0.3×	12	333
Cheng-Kai Chan	203 1.3×	91 0.6×	68 0.6×	195 1.9×	41 0.7×	11	364

Countries citing papers authored by Thomas Dall Larsen

Since Specialization

Citations

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

Fields of papers citing papers by Thomas Dall Larsen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas Dall Larsen. 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 Thomas Dall Larsen. The network helps show where Thomas Dall Larsen may publish in the future.

Co-authorship network of co-authors of Thomas Dall Larsen

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

All Works

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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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