Thomas Hellström

1.8k total citations · 1 hit paper
82 papers, 1.1k citations indexed

About

Thomas Hellström is a scholar working on Artificial Intelligence, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Thomas Hellström has authored 82 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Artificial Intelligence, 25 papers in Control and Systems Engineering and 24 papers in Computer Vision and Pattern Recognition. Recurrent topics in Thomas Hellström's work include Robot Manipulation and Learning (15 papers), Reinforcement Learning in Robotics (13 papers) and Robotic Path Planning Algorithms (12 papers). Thomas Hellström is often cited by papers focused on Robot Manipulation and Learning (15 papers), Reinforcement Learning in Robotics (13 papers) and Robotic Path Planning Algorithms (12 papers). Thomas Hellström collaborates with scholars based in Sweden, Spain and Germany. Thomas Hellström's co-authors include Ola Ringdahl, Suna Bensch, Erik Billing, Ola Lindroos, Yael Edan, J. Hemming, R. Barth, Polina Kurtser, J. Balendonck and Ohad Ben‐Shahar and has published in prestigious journals such as Remote Sensing, Canadian Journal of Forest Research and Applied Sciences.

In The Last Decade

Thomas Hellström

76 papers receiving 1.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Development of a sweet pepper harvesting robot

2020 295 citations Boaz Arad, J. Balendonck et al. Journal of Field Robotics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Thomas Hellström Sweden	17	348	216	211	189	188	82	1.1k
Ze Ji United Kingdom	18	139 0.4×	180 0.8×	187 0.9×	168 0.9×	348 1.9×	127	1.3k
Chao Qu United States	17	407 1.2×	92 0.4×	93 0.4×	180 1.0×	340 1.8×	39	1.3k
Flavio Prieto Colombia	20	311 0.9×	47 0.2×	117 0.6×	338 1.8×	322 1.7×	139	1.5k
Renato Vidoni Italy	25	196 0.6×	66 0.3×	854 4.0×	477 2.5×	279 1.5×	112	2.2k
Arto Visala Finland	16	170 0.5×	64 0.3×	324 1.5×	210 1.1×	309 1.6×	78	1.2k
Avital Bechar Israel	20	1.1k 3.2×	71 0.3×	149 0.7×	238 1.3×	129 0.7×	74	1.8k
Marcello Chiaberge Italy	23	318 0.9×	610 2.8×	274 1.3×	298 1.6×	487 2.6×	103	2.5k
Juan Terven Mexico	11	190 0.5×	124 0.6×	56 0.3×	94 0.5×	564 3.0×	35	1.5k
Grzegorz Cielniak United Kingdom	22	511 1.5×	220 1.0×	141 0.7×	88 0.5×	677 3.6×	90	1.6k
Fangyao Liu China	8	198 0.6×	156 0.7×	58 0.3×	126 0.7×	585 3.1×	18	1.5k

Countries citing papers authored by Thomas Hellström

Since Specialization

Citations

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

Fields of papers citing papers by Thomas Hellström

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Hellström

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Bensch, Suna, et al.. (2025). Navigating the Human–Robot Interface—Exploring Human Interactions and Perceptions with Social and Telepresence Robots. Applied Sciences. 15(3). 1127–1127. 1 indexed citations

2.

Bensch, Suna, et al.. (2025). Building a Self-Explanatory Social Robot on the Basis of an Explanation-Oriented Runtime Knowledge Model. Electronics. 14(16). 3178–3178. 1 indexed citations

3.

Mark, Esben Bolvig, Thomas Hellström, Erlend Hodneland, et al.. (2025). Deep-learning based automated pancreas segmentation on CT scans of chronic pancreatitis patients. European Journal of Radiology. 189. 112175–112175.

4.

Hellström, Thomas, et al.. (2024). A Taxonomy of Embodiment in the AI Era. Electronics. 13(22). 4441–4441. 4 indexed citations

5.

Bensch, Suna, et al.. (2021). WoZ4U: An Open-Source Wizard-of-Oz Interface for Easy, Efficient and Robust HRI Experiments. Frontiers in Robotics and AI. 8. 668057–668057. 18 indexed citations

6.

Arad, Boaz, J. Balendonck, R. Barth, et al.. (2020). Development of a sweet pepper harvesting robot. Journal of Field Robotics. 37(6). 1027–1039. 295 indexed citations breakdown →

7.

Hellström, Thomas, Virginia Dignum, & Suna Bensch. (2020). Bias in machine learning - what is it good for?. DiVA at Umeå University (Umeå University). 3–10. 2 indexed citations

8.

Singh, Avinash Kumar, et al.. (2019). Towards Verbal Explanations by Collaborating Robot Teams. 1 indexed citations

9.

Singh, Avinash Kumar, et al.. (2019). Fusion of Gesture and Speech for Increased Accuracy in Human Robot Interaction. 139–144. 3 indexed citations

10.

Hellström, Thomas, et al.. (2016). An intelligent rollator for mobility impaired persons, especially stroke patients. Journal of Medical Engineering & Technology. 40(5). 270–279. 9 indexed citations

11.

Lindroos, Ola, et al.. (2015). Estimating the position of the harvester head : a key step towards the precision forestry of the future?. Croatian journal of forest engineering. 36(2). 147–164. 42 indexed citations

12.

Bensch, Suna, Frank Drewes, & Thomas Hellström. (2015). Grammatical Inference of Graph Transformation Rules. 73–90.

13.

Bensch, Suna, et al.. (2015). Inferring Robot Actions from Verbal Commands Using Shallow Semantic Parsing. International Conference on Artificial Intelligence. 28–34. 1 indexed citations

14.

Hellström, Thomas, et al.. (2014). Detection of Trees Based on Quality Guided Image Segmentation. 531–540. 3 indexed citations

15.

Hellström, Thomas, et al.. (2013). Robotics architecture frameworks, available tools and further requirements. KTH Publication Database DiVA (KTH Royal Institute of Technology). 8(1). 4325–4325. 3 indexed citations

16.

Hellström, Thomas & Ola Ringdahl. (2013). A software framework for agricultural and forestry robots. Industrial Robot the international journal of robotics research and application. 40(1). 20–26. 13 indexed citations

17.

Hellström, Thomas. (2011). Kinematics Equations for Differential Drive and Articulated Steering. KTH Publication Database DiVA (KTH Royal Institute of Technology). 16 indexed citations

18.

Hellström, Thomas. (2002). Trends and Calendar Effects in Stock Returns. 2 indexed citations

19.

Hellström, Thomas. (2001). Techniques and Software for Development and Evaluation of Trading Strategies. 2 indexed citations

20.

Hellström, Thomas & Kenneth Holmström. (1998). Predicting the Stock Market. 15 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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