Budhitama Subagdja

952 total citations · 1 hit paper
41 papers, 552 citations indexed

About

Budhitama Subagdja is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Budhitama Subagdja has authored 41 papers receiving a total of 552 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Artificial Intelligence, 10 papers in Computer Vision and Pattern Recognition and 5 papers in Computer Networks and Communications. Recurrent topics in Budhitama Subagdja's work include Reinforcement Learning in Robotics (13 papers), Multi-Agent Systems and Negotiation (7 papers) and Neural Networks and Applications (7 papers). Budhitama Subagdja is often cited by papers focused on Reinforcement Learning in Robotics (13 papers), Multi-Agent Systems and Negotiation (7 papers) and Neural Networks and Applications (7 papers). Budhitama Subagdja collaborates with scholars based in Singapore, China and Australia. Budhitama Subagdja's co-authors include Ah‐Hwee Tan, Shubham Pateria, Chai Quek, Janusz A. Starzyk, Di Wang, Gee-Wah Ng, Liz Sonenberg, Lei Meng, Iyad Rahwan and Yue Hu and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and ACM Computing Surveys.

In The Last Decade

Budhitama Subagdja

37 papers receiving 536 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.

Hierarchical Reinforcement Learning

2021 217 citations Shubham Pateria, Budhitama Subagdja et al. ACM Computing Surveys profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Budhitama Subagdja Singapore	12	312	118	108	70	67	41	552
Ahmed Hussein United Kingdom	3	301 1.0×	219 1.9×	166 1.5×	50 0.7×	50 0.7×	4	618
Dawei Zhou United States	15	355 1.1×	81 0.7×	134 1.2×	39 0.6×	65 1.0×	44	649
Carlos V. Regueiro Spain	15	224 0.7×	78 0.7×	196 1.8×	106 1.5×	77 1.1×	44	566
Daniel J. Mankowitz Israel	8	301 1.0×	127 1.1×	81 0.8×	78 1.1×	68 1.0×	19	540
Haiyan Wu China	12	204 0.7×	113 1.0×	101 0.9×	35 0.5×	56 0.8×	38	469
Herke van Hoof Netherlands	17	537 1.7×	427 3.6×	170 1.6×	72 1.0×	46 0.7×	36	1.0k
Paul Watta United States	13	217 0.7×	40 0.3×	189 1.8×	103 1.5×	48 0.7×	51	483
Kuan-Cheng Lin Taiwan	12	222 0.7×	101 0.9×	86 0.8×	71 1.0×	73 1.1×	33	532
Kerstin Eder United Kingdom	12	123 0.4×	73 0.6×	48 0.4×	123 1.8×	112 1.7×	64	469
Bilal Kartal United States	9	291 0.9×	117 1.0×	77 0.7×	63 0.9×	123 1.8×	15	542

Countries citing papers authored by Budhitama Subagdja

Since Specialization

Citations

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

Fields of papers citing papers by Budhitama Subagdja

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Budhitama Subagdja

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

Subagdja, Budhitama, et al.. (2025). Relation prediction in knowledge graphs: A self-organizing neural network approach. Neural Networks. 190. 107679–107679.

Pateria, Shubham, Budhitama Subagdja, & Ah‐Hwee Tan. (2024). FedART: A neural model integrating federated learning and adaptive resonance theory. Neural Networks. 181. 106845–106845. 1 indexed citations

Pateria, Shubham, et al.. (2024). FedSTEM-ADL: A Federated Spatial-Temporal Episodic Memory Model for ADL Prediction. 1–8.

Pateria, Shubham, Budhitama Subagdja, Ah‐Hwee Tan, & Chai Quek. (2023). Value-Based Subgoal Discovery and Path Planning for Reaching Long-Horizon Goals. IEEE Transactions on Neural Networks and Learning Systems. 35(8). 10288–10300. 1 indexed citations

Subagdja, Budhitama, et al.. (2022). Real-Time Hierarchical Map Segmentation for Coordinating Multirobot Exploration. IEEE Access. 11. 15680–15692. 1 indexed citations

Hu, Yue, Budhitama Subagdja, Ah‐Hwee Tan, Chai Quek, & Quanjun Yin. (2022). Who are the ‘silent spreaders’?: contact tracing in spatio-temporal memory models. Neural Computing and Applications. 34(17). 14859–14879. 3 indexed citations

Pateria, Shubham, Budhitama Subagdja, Ah‐Hwee Tan, & Chai Quek. (2021). Hierarchical Reinforcement Learning. ACM Computing Surveys. 54(5). 1–35. 217 indexed citations breakdown →

Subagdja, Budhitama, et al.. (2021). Hierarchical control of multi-agent reinforcement learning team in real-time strategy (RTS) games. Expert Systems with Applications. 186. 115707–115707. 15 indexed citations

Hu, Yue, et al.. (2021). Interpretable Goal Recognition for Path Planning with ART Networks. Institutional Knowledge (InK) - Institutional Knowledge at Singapore Management University (Singapore Management University). 3. 1–8. 1 indexed citations

10.

Pateria, Shubham, Budhitama Subagdja, Ah‐Hwee Tan, & Chai Quek. (2021). End-to-End Hierarchical Reinforcement Learning With Integrated Subgoal Discovery. IEEE Transactions on Neural Networks and Learning Systems. 33(12). 7778–7790. 26 indexed citations

11.

Pateria, Shubham, Budhitama Subagdja, & Ah‐Hwee Tan. (2020). Hierarchical Reinforcement Learning with Integrated Discovery of Salient Subgoals. Institutional Knowledge (InK) - Institutional Knowledge at Singapore Management University (Singapore Management University). 1963–1965. 1 indexed citations

12.

Subagdja, Budhitama & Ah‐Hwee Tan. (2019). Beyond Autonomy: The Self and Life of Social Agents. DR-NTU (Nanyang Technological University). 3. 1654–1658. 4 indexed citations

13.

Pateria, Shubham, Budhitama Subagdja, & Ah‐Hwee Tan. (2019). Multi-agent Reinforcement Learning in Spatial Domain Tasks using Inter Subtask Empowerment Rewards. 2 indexed citations

14.

Tan, Ah‐Hwee, Budhitama Subagdja, Di Wang, & Lei Meng. (2019). Self-organizing neural networks for universal learning and multimodal memory encoding. Neural Networks. 120. 58–73. 22 indexed citations

15.

Subagdja, Budhitama & Ah‐Hwee Tan. (2014). On coordinating pervasive persuasive agents. Adaptive Agents and Multi-Agents Systems. 1467–1468. 1 indexed citations

16.

Subagdja, Budhitama, et al.. (2012). Memory formation, consolidation, and forgetting in learning agents. Adaptive Agents and Multi-Agents Systems. 1007–1014. 6 indexed citations

17.

Kang, Yilin, Budhitama Subagdja, Ah‐Hwee Tan, Yew-Soon Ong, & Chunyan Miao. (2012). Virtual characters in agent-augmented co-space (demonstration). Adaptive Agents and Multi-Agents Systems. 1465–1466. 2 indexed citations

18.

Subagdja, Budhitama, et al.. (2012). Neural Modeling of Episodic Memory: Encoding, Retrieval, and Forgetting. IEEE Transactions on Neural Networks and Learning Systems. 23(10). 1574–1586. 67 indexed citations

19.

Subagdja, Budhitama & Ah‐Hwee Tan. (2012). iFALCON: A neural architecture for hierarchical planning. Neurocomputing. 86. 124–139. 7 indexed citations

20.

Subagdja, Budhitama & Ah‐Hwee Tan. (2009). A self-organizing neural network architecture for intentional planning agents. Institutional Knowledge (InK) - Institutional Knowledge at Singapore Management University (Singapore Management University). 1081–1088. 7 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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