I. Grondman

1.3k total citations · 1 hit paper
8 papers, 841 citations indexed

About

I. Grondman is a scholar working on Artificial Intelligence, Control and Systems Engineering and Computational Theory and Mathematics. According to data from OpenAlex, I. Grondman has authored 8 papers receiving a total of 841 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 6 papers in Control and Systems Engineering and 6 papers in Computational Theory and Mathematics. Recurrent topics in I. Grondman's work include Reinforcement Learning in Robotics (8 papers), Adaptive Dynamic Programming Control (6 papers) and Advanced Control Systems Optimization (3 papers). I. Grondman is often cited by papers focused on Reinforcement Learning in Robotics (8 papers), Adaptive Dynamic Programming Control (6 papers) and Advanced Control Systems Optimization (3 papers). I. Grondman collaborates with scholars based in Netherlands, Romania and France. I. Grondman's co-authors include Robert Babuška, Lucian Buşoniu, Gabriel A. D. Lopes, Gregory Pinte, S. Jagannathan and Hao Xu and has published in prestigious journals such as IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics), Mechatronics and IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews).

In The Last Decade

I. Grondman

8 papers receiving 802 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.

A Survey of Actor-Critic Reinforcement Learning: Standard and Natural Policy Gradients

2012 689 citations I. Grondman, Lucian Buşoniu et al. IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews) profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
I. Grondman Netherlands	6	349	269	203	186	170	8	841
Alexandra-Iulia Szedlak-Stinean Romania	13	363 1.0×	446 1.7×	129 0.6×	122 0.7×	114 0.7×	67	956
Claudiu Pozna Romania	15	364 1.0×	400 1.5×	150 0.7×	96 0.5×	110 0.6×	77	1.0k
Peter Vrancx Belgium	12	328 0.9×	105 0.4×	278 1.4×	119 0.6×	117 0.7×	50	768
Jacopo Panerati Canada	11	251 0.7×	265 1.0×	119 0.6×	61 0.3×	189 1.1×	26	753
Gabriel Dulac-Arnold United Kingdom	6	594 1.7×	308 1.1×	131 0.6×	83 0.4×	143 0.8×	8	1.0k
Yiying Zhang China	16	686 2.0×	158 0.6×	228 1.1×	263 1.4×	67 0.4×	23	1.1k
Maximilian Ernestus Germany	3	282 0.8×	213 0.8×	161 0.8×	42 0.2×	113 0.7×	3	755
Anssi Kanervisto Finland	7	349 1.0×	218 0.8×	162 0.8×	54 0.3×	102 0.6×	9	869
Gregory Farquhar United Kingdom	6	749 2.1×	208 0.8×	165 0.8×	145 0.8×	320 1.9×	9	1.2k
Samuel Coogan United States	17	178 0.5×	513 1.9×	90 0.4×	264 1.4×	172 1.0×	107	960

Countries citing papers authored by I. Grondman

Since Specialization

Citations

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

Fields of papers citing papers by I. Grondman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of I. Grondman

This figure shows the co-authorship network connecting the top 25 collaborators of I. Grondman. A scholar is included among the top collaborators of I. Grondman 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 I. Grondman. I. Grondman 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:

8 of 8 papers shown

1.

Grondman, I.. (2015). Online Model Learning Algorithms for Actor-Critic Control. Research Repository (Delft University of Technology). 13 indexed citations

2.

Grondman, I., et al.. (2014). Learning rate free reinforcement learning for real-time motion control using a value-gradient based policy. Mechatronics. 24(8). 966–974. 8 indexed citations

3.

Pinte, Gregory, et al.. (2014). Comparison of model-free and model-based methods for time optimal hit control of a badminton robot. Mechatronics. 24(8). 1021–1030. 17 indexed citations

4.

Pinte, Gregory, et al.. (2013). Model-free and model-based time-optimal control of a badminton robot. 1–6. 4 indexed citations

5.

Grondman, I., Hao Xu, S. Jagannathan, & Robert Babuška. (2013). Solutions to finite horizon cost problems using actor-critic reinforcement learning. 1–7. 5 indexed citations

6.

Grondman, I., Lucian Buşoniu, Gabriel A. D. Lopes, & Robert Babuška. (2012). A Survey of Actor-Critic Reinforcement Learning: Standard and Natural Policy Gradients. IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews). 42(6). 1291–1307. 689 indexed citations breakdown →

7.

Grondman, I., et al.. (2011). Efficient Model Learning Methods for Actor–Critic Control. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics). 42(3). 591–602. 94 indexed citations

8.

Grondman, I., et al.. (2011). Actor-Critic Control with Reference Model Learning. IFAC Proceedings Volumes. 44(1). 14723–14728. 11 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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