OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Hawkes processes for events in social media
Marian-Andrei Rizoiu, Young Lee, Swapnil Mishra, et al.
(2017), pp. 191-218
Open Access | Times Cited: 64

Showing 1-25 of 64 citing articles:

The Co-Production of Service: Modeling Services in Contact Centers Using Hawkes Processes
Andrew Daw, Antonio Castellanos, Galit B. Yom‐Tov, et al.
Management Science (2024)
Open Access | Times Cited: 4

Partially Linear Single-Index Models and Functional Principal Component Analysis of Spatially and Temporally Indexed Point Processes
Kun Huang, Xian Chen, Yongtao Guan, et al.
Journal of Business and Economic Statistics (2025), pp. 1-25
Closed Access

Measuring the diffusion of conspiracy theories in digital information ecologies
Annett Heft, Kilian Buehling
Convergence The International Journal of Research into New Media Technologies (2022) Vol. 28, Iss. 4, pp. 940-961
Open Access | Times Cited: 16

TppFaaS: Modeling Serverless Functions Invocations via Temporal Point Processes
Markus Steinbach, Anshul Jindal, Mohak Chadha, et al.
IEEE Access (2022) Vol. 10, pp. 9059-9084
Open Access | Times Cited: 14

Hawkes Processes Modeling, Inference, and Control: An Overview
Rafael Lima
SIAM Review (2023) Vol. 65, Iss. 2, pp. 331-374
Open Access | Times Cited: 7

Inference of multivariate exponential Hawkes processes with inhibition and application to neuronal activity
Anna Bonnet, Miguel Martinez Herrera, Maxime Sangnier
Statistics and Computing (2023) Vol. 33, Iss. 4
Open Access | Times Cited: 7

Synthesizing Human Trajectories Based on Variational Point Processes
Huandong Wang, Qizhong Zhang, Yuchen Wu, et al.
IEEE Transactions on Knowledge and Data Engineering (2023) Vol. 36, Iss. 4, pp. 1785-1799
Closed Access | Times Cited: 7

Analysing user identity via time-sensitive semantic edit distance (t-SED): a case study of Russian trolls on Twitter
Dongwoo Kim, Timothy Graham, Zimin Wan, et al.
Journal of Computational Social Science (2019) Vol. 2, Iss. 2, pp. 331-351
Closed Access | Times Cited: 20

Using Hawkes Processes to model imported and local malaria cases in near-elimination settings
H. Juliette T. Unwin, Isobel Routledge, Seth Flaxman, et al.
PLoS Computational Biology (2021) Vol. 17, Iss. 4, pp. e1008830-e1008830
Open Access | Times Cited: 18

The Co-Production of Service: Modeling Service Times in Contact Centers Using Hawkes Processes
Andrew Daw, Antonio Castellanos, Galit B. Yom‐Tov, et al.
SSRN Electronic Journal (2021)
Closed Access | Times Cited: 16

Parameter Estimation of Binned Hawkes Processes
Leigh Shlomovich, Edward A. K. Cohen, Niall M. Adams, et al.
Journal of Computational and Graphical Statistics (2022) Vol. 31, Iss. 4, pp. 990-1000
Open Access | Times Cited: 10

Handling missing data in self-exciting point process models
James D. Tucker, Lyndsay Shand, J. R. Lewis
Spatial Statistics (2018) Vol. 29, pp. 160-176
Open Access | Times Cited: 17

Learning Automata-based Misinformation Mitigation via Hawkes Processes
Ahmed Abouzeid, Ole‐Christoffer Granmo, Christian Webersik, et al.
Information Systems Frontiers (2021) Vol. 23, Iss. 5, pp. 1169-1188
Open Access | Times Cited: 13

Temporal Convolutional Networks for Popularity Prediction of Messages on Social Medias
Jiangli Shao, Huawei Shen, Qi Cao, et al.
Lecture notes in computer science (2019), pp. 135-147
Closed Access | Times Cited: 15

Proactive Resource Request for Disaster Response: A Deep Learning-Based Optimization Model
Hongzhe Zhang, Xiaohang Zhao, Xiao Fang, et al.
Information Systems Research (2023) Vol. 35, Iss. 2, pp. 528-550
Open Access | Times Cited: 4

Bayesian neural hawkes process for event uncertainty prediction
Manisha Dubey, Ragja Palakkadavath, P. K. Srijith
International Journal of Data Science and Analytics (2023)
Closed Access | Times Cited: 4

Simultaneous monitoring of multivariate time between events and their magnitude using multivariate marked Hawkes point process
Mohammadreza Mirzaei Novin, Amirhossein Amiri
Quality Technology & Quantitative Management (2023) Vol. 21, Iss. 6, pp. 1004-1024
Closed Access | Times Cited: 4

TEE4EHR: Transformer event encoder for better representation learning in electronic health records
Hojjat Karami, David Atienza, anisoara ionescu
Artificial Intelligence in Medicine (2024) Vol. 154, pp. 102903-102903
Open Access | Times Cited: 1

Quantifying uncertainty in a predictive model for popularity dynamics
Joseph D. O’Brien, Alberto Aleta, Yamir Moreno, et al.
Physical review. E (2020) Vol. 101, Iss. 6
Open Access | Times Cited: 11

Identifying Cost-effective Debunkers for Multi-stage Fake News Mitigation Campaigns
Xiaofei Xu, Ke Deng, Xiuzhen Zhang
Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining (2022)
Open Access | Times Cited: 7

Tracking the Digital Traces of Russian Trolls: Distinguishing the Roles and Strategy of Trolls On Twitter.
Dongwoo Kim, Timothy Graham, Zimin Wan, et al.
(2019)
Closed Access | Times Cited: 10

On the challenges of predicting microscopic dynamics of online conversations
John Bollenbacher, Diogo Pacheco, Pik-Mai Hui, et al.
Applied Network Science (2021) Vol. 6, Iss. 1
Open Access | Times Cited: 9

Recursive computation of the Hawkes cumulants
Nicolas Privault
Statistics & Probability Letters (2021) Vol. 177, pp. 109161-109161
Open Access | Times Cited: 8

Statistical injury prediction for professional sumo wrestlers: Modeling and perspectives
Shuhei Ota, Mitsuhiro Kimura
PLoS ONE (2023) Vol. 18, Iss. 3, pp. e0283242-e0283242
Open Access | Times Cited: 3

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