A.-J. Baerveldt

31 total papers · 1.1k total citations
23 papers, 820 citations indexed

About

A.-J. Baerveldt is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Control and Systems Engineering. According to data from OpenAlex, A.-J. Baerveldt has authored 23 papers receiving a total of 820 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 9 papers in Aerospace Engineering and 5 papers in Control and Systems Engineering. Recurrent topics in A.-J. Baerveldt's work include Robotics and Sensor-Based Localization (8 papers), Robotic Path Planning Algorithms (6 papers) and Robot Manipulation and Learning (5 papers). A.-J. Baerveldt is often cited by papers focused on Robotics and Sensor-Based Localization (8 papers), Robotic Path Planning Algorithms (6 papers) and Robot Manipulation and Learning (5 papers). A.-J. Baerveldt collaborates with scholars based in Sweden, Switzerland and Brazil. A.-J. Baerveldt's co-authors include Björn Åstrand, Ola Bengtsson, Eric Aislan Antonelo, Marita Hilliges, Hans Lundqvist, D. Vischer, Thorsteinn Rögnvaldsson, Maria do Livramento Fortes Figueiredo, Frank Ade and Christer Sollerman and has published in prestigious journals such as Robotics and Autonomous Systems, Autonomous Robots and IEEE Robotics & Automation Magazine.

In The Last Decade

A.-J. Baerveldt

23 papers receiving 728 citations

Author Peers

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

Author						Papers	Cites
A.-J. Baerveldt	361	285	181	133	125	23	820
Alberto Pretto	281 0.8×	378 1.3×	320 1.8×	65 0.5×	61 0.5×	35	848
Chanyoung Ju	277 0.8×	246 0.9×	204 1.1×	46 0.3×	125 1.0×	27	816
Antonio Petitti	183 0.5×	92 0.3×	145 0.8×	77 0.6×	144 1.2×	32	732
Daobilige Su	232 0.6×	164 0.6×	189 1.0×	74 0.6×	51 0.4×	39	785
S. S. Mehta	333 0.9×	181 0.6×	198 1.1×	49 0.4×	142 1.1×	66	811
Chris Lehnert	599 1.7×	121 0.4×	149 0.8×	42 0.3×	133 1.1×	29	821
Xinhua Wei	585 1.6×	105 0.4×	89 0.5×	99 0.7×	74 0.6×	30	894
M.J. Aldon	119 0.3×	517 1.8×	400 2.2×	118 0.9×	89 0.7×	33	877
Bingbo Cui	172 0.5×	283 1.0×	85 0.5×	268 2.0×	190 1.5×	36	733
David Sanz	124 0.3×	359 1.3×	294 1.6×	50 0.4×	88 0.7×	14	756

Countries citing papers authored by A.-J. Baerveldt

Since Specialization

Citations

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

Fields of papers citing papers by A.-J. Baerveldt

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A.-J. Baerveldt. 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 A.-J. Baerveldt. The network helps show where A.-J. Baerveldt may publish in the future.

Co-authorship network of co-authors of A.-J. Baerveldt

This figure shows the co-authorship network connecting the top 25 collaborators of A.-J. Baerveldt. A scholar is included among the top collaborators of A.-J. Baerveldt 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 A.-J. Baerveldt. A.-J. Baerveldt 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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