James P. Bailey

790 total citations
33 papers, 370 citations indexed

About

James P. Bailey is a scholar working on Computer Vision and Pattern Recognition, Education and Artificial Intelligence. According to data from OpenAlex, James P. Bailey has authored 33 papers receiving a total of 370 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 5 papers in Education and 4 papers in Artificial Intelligence. Recurrent topics in James P. Bailey's work include Machine Learning and Algorithms (3 papers), Advanced Bandit Algorithms Research (3 papers) and Education Systems and Policy (3 papers). James P. Bailey is often cited by papers focused on Machine Learning and Algorithms (3 papers), Advanced Bandit Algorithms Research (3 papers) and Education Systems and Policy (3 papers). James P. Bailey collaborates with scholars based in United States, Australia and Singapore. James P. Bailey's co-authors include Eric H. Kessler, Georgios Piliouras, Samuel S. Peng, Albert B. Zajko, Harry E. Rubash, Francis X. Solano, Alex Nash, Sven Koenig, Craig A. Tovey and Christopher Leckie and has published in prestigious journals such as BMC Bioinformatics, Artificial Intelligence and Educational Researcher.

In The Last Decade

James P. Bailey

29 papers receiving 350 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
James P. Bailey United States 11 55 49 39 38 37 33 370
Oliver J. Bott Germany 15 27 0.5× 62 1.3× 88 2.3× 10 0.3× 65 580
Ilias Iakovidis Belgium 10 48 0.9× 68 1.4× 70 1.8× 6 0.2× 23 563
Henry R. Neave United Kingdom 13 23 0.4× 85 1.7× 23 0.6× 13 0.3× 1 0.0× 47 496
Azhar Mahmood Pakistan 11 17 0.3× 76 1.6× 31 0.8× 80 2.1× 52 418
Ghulam Mujtaba Pakistan 13 22 0.4× 19 0.4× 51 1.3× 8 0.2× 47 470
Magdalena Niewiadomska–Bugaj United States 9 12 0.2× 96 2.0× 17 0.4× 207 5.4× 28 593
Robert H. Miller United States 11 7 0.1× 19 0.4× 44 1.1× 105 2.8× 1 0.0× 31 458
James A. Anderson United States 9 6 0.1× 110 2.2× 14 0.4× 15 0.4× 1 0.0× 33 534
Benjamin S. Baumer United States 11 15 0.3× 152 3.1× 26 0.7× 38 1.0× 39 575

Countries citing papers authored by James P. Bailey

Since Specialization
Citations

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

Fields of papers citing papers by James P. Bailey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James P. Bailey. 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 James P. Bailey. The network helps show where James P. Bailey may publish in the future.

Co-authorship network of co-authors of James P. Bailey

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

All Works

20 of 20 papers shown
1.
Fu, Sichao, Yibing Zhan, Qinmu Peng, et al.. (2024). Finding core labels for maximizing generalization of graph neural networks. Neural Networks. 180. 106635–106635. 3 indexed citations
2.
Demirović, Emir, et al.. (2022). A Divide and Conquer Algorithm for Predict+Optimize with Non-convex Problems. Proceedings of the AAAI Conference on Artificial Intelligence. 36(4). 3749–3757. 6 indexed citations
3.
Liu, Wei, Kexin Xie, Linsey Pang, et al.. (2022). Deep Learning for Search and Recommendation. Proceedings of the 31st ACM International Conference on Information & Knowledge Management. 5171–5172.
4.
Bailey, James P., Alex Nash, Craig A. Tovey, & Sven Koenig. (2021). Path-length analysis for grid-based path planning. Artificial Intelligence. 301. 103560–103560. 23 indexed citations
5.
Park, Sunhwa, James P. Bailey, Hans J. Pasman, Qingsheng Wang, & Mahmoud M. El‐Halwagi. (2021). Fast, easy-to-use, machine learning-developed models of prediction of flash point, heat of combustion, and lower and upper flammability limits for inherently safer design. Computers & Chemical Engineering. 155. 107524–107524. 13 indexed citations
6.
Bailey, James P., Gauthier Gidel, & Georgios Piliouras. (2020). Finite Regret and Cycles with Fixed Step-Size via Alternating Gradient Descent-Ascent. Conference on Learning Theory. 391–407. 3 indexed citations
7.
Bailey, James P. & Georgios Piliouras. (2019). Fast and Furious Learning in Zero-Sum Games: Vanishing Regret with Non-Vanishing Step Sizes. Neural Information Processing Systems. 32. 12977–12987.
8.
Bailey, James P. & Georgios Piliouras. (2019). Multi-Agent Learning in Network Zero-Sum Games is a Hamiltonian System. arXiv (Cornell University). 233–241. 3 indexed citations
9.
Bailey, James P. & Georgios Piliouras. (2018). Multiplicative Weights Update in Zero-Sum Games. 321–338. 25 indexed citations
10.
Lewicki, Roy J. & James P. Bailey. (2016). A Deeper Dig. Organizational Behavior Teaching Review. 40(5). 516–523. 10 indexed citations
11.
Bailey, James P., Craig A. Tovey, Tansel Uras, Sven Koenig, & Alex Nash. (2015). Path Planning on Grids: The Effect of Vertex Placement on Path Length. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 11(1). 108–114. 8 indexed citations
12.
Bailey, James P.. (2015). Extra-pericardial tamponade following Wolf Mini-Maze procedure: a case report. Journal of Cardiothoracic Surgery. 10(1). 153–153. 2 indexed citations
13.
Bailey, James P., et al.. (2015). A Framework for Simplifying Trip Data into Networks via Coupled Matrix Factorization. 8 indexed citations
14.
Bailey, James P., Haydar Karaoglu, C. Wellings, & Robert Park. (2014). PCR-based simple sequence repeat markers for diagnostic identification of major clonal lineages of Puccinia striiformis f. sp. tritici and related stripe rust pathogens in Australia. Australasian Plant Pathology. 44(1). 97–103. 6 indexed citations
15.
Cao, Longbing, et al.. (2012). New Frontiers in Applied Data Mining: PAKDD 2011 International Workshops. Springer eBooks. 1 indexed citations
16.
Kessler, Eric H. & James P. Bailey. (2007). Handbook of Organizational and Managerial Wisdom. 79 indexed citations
17.
Bailey, James P.. (2004). Asset Development for the Poor. Journal of the Society of Christian Ethics. 24(1). 51–72.
18.
Pappa, Richard S., et al.. (1992). Mini-mast CSI testbed user's guide. NASA Technical Reports Server (NASA). 10 indexed citations
19.
Bailey, James P., et al.. (1991). Prospective randomized trial of sequential compression devices vs low-dose warfarin for deep venous thrombosis prophylaxis in total hip arthroplasty. The Journal of Arthroplasty. 6. S29–S35. 41 indexed citations
20.
Bailey, James P., et al.. (1977). Entry Into Postsecondary Education.. 2 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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