Daniel Aarno

446 total citations
13 papers, 272 citations indexed

About

Daniel Aarno is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Mechanical Engineering. According to data from OpenAlex, Daniel Aarno has authored 13 papers receiving a total of 272 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 7 papers in Control and Systems Engineering and 4 papers in Mechanical Engineering. Recurrent topics in Daniel Aarno's work include Robot Manipulation and Learning (6 papers), Robotic Path Planning Algorithms (4 papers) and Teleoperation and Haptic Systems (4 papers). Daniel Aarno is often cited by papers focused on Robot Manipulation and Learning (6 papers), Robotic Path Planning Algorithms (4 papers) and Teleoperation and Haptic Systems (4 papers). Daniel Aarno collaborates with scholars based in Sweden and United States. Daniel Aarno's co-authors include Danica Kragić, Staffan Ekvall, Jakob Engblom, Henrik I. Christensen, Patric Jensfelt and Håkan Grahn and has published in prestigious journals such as IEEE Transactions on Robotics, Robotics and Autonomous Systems and Lund University Publications (Lund University).

In The Last Decade

Daniel Aarno

12 papers receiving 254 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel Aarno Sweden	8	127	101	93	70	54	13	272
Aleš Vysocký Czechia	8	145 1.1×	76 0.8×	68 0.7×	62 0.9×	30 0.6×	16	314
Xianghai Wu Canada	4	196 1.5×	149 1.5×	70 0.8×	125 1.8×	45 0.8×	7	314
Jeffrey Too Chuan Tan Japan	10	183 1.4×	56 0.6×	69 0.7×	57 0.8×	33 0.6×	54	434
Shervin Javdani United States	8	131 1.0×	36 0.4×	62 0.7×	65 0.9×	70 1.3×	13	273
Claus Lenz Germany	12	162 1.3×	57 0.6×	90 1.0×	43 0.6×	59 1.1×	24	344
B. Graf Germany	6	121 1.0×	58 0.6×	134 1.4×	59 0.8×	17 0.3×	9	272
Michael Görner Germany	8	155 1.2×	66 0.7×	134 1.4×	54 0.8×	31 0.6×	11	298
Aitor Ibarguren Spain	10	165 1.3×	56 0.6×	79 0.8×	81 1.2×	36 0.7×	26	406
Hiroyuki Masuta Japan	8	100 0.8×	42 0.4×	84 0.9×	35 0.5×	41 0.8×	90	257
Siddarth Jain United States	9	190 1.5×	78 0.8×	71 0.8×	101 1.4×	90 1.7×	32	406

Countries citing papers authored by Daniel Aarno

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Aarno

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Aarno. 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 Daniel Aarno. The network helps show where Daniel Aarno may publish in the future.

Co-authorship network of co-authors of Daniel Aarno

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

All Works

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13 of 13 papers shown

1.

Aarno, Daniel, et al.. (2015). Accelerating Graphics in the Simics Full-System Simulator. Lund University Publications (Lund University). 17. 150–153. 1 indexed citations

2.

Aarno, Daniel & Jakob Engblom. (2014). Software and System Development using Virtual Platforms: Full-System Simulation with Wind River Simics. CERN Document Server (European Organization for Nuclear Research). 17 indexed citations

3.

Aarno, Daniel. (2007). Intention Recognition in Human Machine Collaborative Systems. KTH Publication Database DiVA (KTH Royal Institute of Technology). 3 indexed citations

4.

Aarno, Daniel & Danica Kragić. (2007). Motion intention recognition in robot assisted applications. Robotics and Autonomous Systems. 56(8). 692–705. 55 indexed citations

5.

Ekvall, Staffan, Daniel Aarno, & Danica Kragić. (2006). Online task recognition and real-time adaptive assistance for computer-aided machine control. IEEE Transactions on Robotics. 22(5). 1029–1033. 10 indexed citations

6.

Ekvall, Staffan, Daniel Aarno, & Danica Kragić. (2006). Task Learning Using Graphical Programming and Human Demonstrations. 398–403. 10 indexed citations

7.

Aarno, Daniel, et al.. (2006). Adaptive Virtual Fixtures for Machine-Assisted Teleoperation Tasks. 897–903. 37 indexed citations

8.

Aarno, Daniel, Staffan Ekvall, & Danica Kragić. (2006). Adaptive Virtual Fixtures for Machine-Assisted Teleoperation Tasks. 1139–1144. 72 indexed citations

9.

Aarno, Daniel & Danica Kragić. (2006). Layered HMM for Motion Intention Recognition. 5130–5135. 31 indexed citations

10.

Jensfelt, Patric, Staffan Ekvall, Danica Kragić, & Daniel Aarno. (2006). Augmenting SLAM with Object Detection in a Service Robot Framework. 741–746. 6 indexed citations

11.

Aarno, Daniel, et al.. (2005). Constrained path planning and task-consistent path adaptation for mobile manipulators. tr99 18. 268–273. 5 indexed citations

12.

Kragić, Danica, Staffan Ekvall, Patric Jensfelt, & Daniel Aarno. (2004). Sensor Integration and Task Planning for Mobile Manipulation. 1 indexed citations

13.

Aarno, Daniel, Danica Kragić, & Henrik I. Christensen. (2004). Artificial potential biased probabilistic roadmap method. 24 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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