Daniel Graves

869 total citations
17 papers, 428 citations indexed

About

Daniel Graves is a scholar working on Artificial Intelligence, Signal Processing and Control and Systems Engineering. According to data from OpenAlex, Daniel Graves has authored 17 papers receiving a total of 428 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 6 papers in Signal Processing and 3 papers in Control and Systems Engineering. Recurrent topics in Daniel Graves's work include Reinforcement Learning in Robotics (5 papers), Time Series Analysis and Forecasting (4 papers) and Fuzzy Logic and Control Systems (3 papers). Daniel Graves is often cited by papers focused on Reinforcement Learning in Robotics (5 papers), Time Series Analysis and Forecasting (4 papers) and Fuzzy Logic and Control Systems (3 papers). Daniel Graves collaborates with scholars based in Canada, United Kingdom and China. Daniel Graves's co-authors include Witold Pedrycz, Xin Xu, Zhenhua Huang, Yingxu Wang, Jun Luo, Jun Wang, Johannes Günther, Yaodong Yang, Newton Howard and Phillip C.‐Y. Sheu and has published in prestigious journals such as Journal of Political Economy, Pattern Recognition and Fuzzy Sets and Systems.

In The Last Decade

Daniel Graves

17 papers receiving 414 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Graves Canada 8 298 171 57 51 51 17 428
Marzieh Zarinbal Iran 9 208 0.7× 178 1.0× 33 0.6× 28 0.5× 51 1.0× 25 445
Christian Döring Germany 7 203 0.7× 149 0.9× 23 0.4× 56 1.1× 21 0.4× 10 360
Cheul Hwang South Korea 6 378 1.3× 147 0.9× 41 0.7× 49 1.0× 78 1.5× 11 523
Wenhong Wang China 10 146 0.5× 230 1.3× 38 0.7× 29 0.6× 130 2.5× 34 623
Hakim El Fadili Morocco 13 201 0.7× 241 1.4× 20 0.4× 62 1.2× 46 0.9× 47 517
Pablo Bermejo Spain 10 336 1.1× 136 0.8× 30 0.5× 30 0.6× 22 0.4× 26 591
Laiwan Chan Hong Kong 15 364 1.2× 130 0.8× 94 1.6× 128 2.5× 14 0.3× 59 652
Younès Bennani France 16 489 1.6× 206 1.2× 23 0.4× 138 2.7× 43 0.8× 94 673
Jingjie Ni China 3 329 1.1× 203 1.2× 22 0.4× 40 0.8× 19 0.4× 5 492
Fun Ye Taiwan 8 217 0.7× 104 0.6× 43 0.8× 25 0.5× 13 0.3× 15 367

Countries citing papers authored by Daniel Graves

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Graves

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Graves

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

All Works

17 of 17 papers shown
1.
Dávila, Eduardo, Daniel Graves, & Cecilia Parlatore. (2023). The Value of Arbitrage. Journal of Political Economy. 132(6). 1947–1993. 2 indexed citations
2.
Tang, Hongyao, Zhaopeng Meng, Chen Chen, et al.. (2022). What about Inputting Policy in Value Function: Policy Representation and Policy-Extended Value Function Approximator. Proceedings of the AAAI Conference on Artificial Intelligence. 36(8). 8441–8449. 5 indexed citations
3.
Graves, Daniel, et al.. (2022). Offline Learning of Counterfactual Predictions for Real-World Robotic Reinforcement Learning. 2022 International Conference on Robotics and Automation (ICRA). 3 indexed citations
4.
Yang, Yaodong, Jun Luo, Daniel Graves, et al.. (2021). Diverse Auto-Curriculum is Critical for Successful Real-World Multiagent Learning Systems. arXiv (Cornell University). 51–56. 4 indexed citations
5.
Graves, Daniel, Johannes Günther, & Jun Luo. (2021). Affordance as general value function: a computational model. Adaptive Behavior. 30(4). 307–327. 3 indexed citations
6.
Graves, Daniel, et al.. (2021). Learning robust driving policies without online exploration. 48. 13186–13193. 1 indexed citations
7.
Wang, Yingxu, et al.. (2019). Sequence Learning for Images Recognition in Videos with Differential Neural Networks. 4. 117–122. 4 indexed citations
8.
Graves, Daniel, et al.. (2019). Pay models for online news in the US and Europe: 2019 update. 8 indexed citations
9.
Wang, Yingxu, Henry Leung, Marina L. Gavrilova, et al.. (2018). A Survey and Formal Analyses on Sequence Learning Methodologies and Deep Neural Networks. 2. 6–15. 9 indexed citations
10.
Xu, Xin, Zhenhua Huang, Daniel Graves, & Witold Pedrycz. (2014). A Clustering-Based Graph Laplacian Framework for Value Function Approximation in Reinforcement Learning. IEEE Transactions on Cybernetics. 44(12). 2613–2625. 27 indexed citations
11.
Graves, Daniel, et al.. (2012). Clustering with proximity knowledge and relational knowledge. Pattern Recognition. 45(7). 2633–2644. 8 indexed citations
12.
Graves, Daniel & Witold Pedrycz. (2010). Proximity fuzzy clustering and its application to time series clustering and prediction. 49–54. 7 indexed citations
13.
Graves, Daniel & Witold Pedrycz. (2009). Multivariate Segmentation of Time Series with Differential Evolution. European Society for Fuzzy Logic and Technology Conference. 113(7). 1108–1113. 7 indexed citations
14.
Graves, Daniel & Witold Pedrycz. (2009). Kernel-based fuzzy clustering and fuzzy clustering: A comparative experimental study. Fuzzy Sets and Systems. 161(4). 522–543. 276 indexed citations
15.
Graves, Daniel & Witold Pedrycz. (2008). Structural segmentation of music with fuzzy clustering. Canadian acoustics. 36(3). 84–85. 2 indexed citations
16.
Graves, Daniel & Witold Pedrycz. (2008). Fuzzy prediction architecture using recurrent neural networks. Neurocomputing. 72(7-9). 1668–1678. 43 indexed citations
17.
Graves, Daniel & Witold Pedrycz. (2007). Performance of kernel-based fuzzy clustering. Electronics Letters. 43(25). 1445–1446. 19 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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