Rayid Ghani

4.3k total citations · 1 hit paper
76 papers, 2.5k citations indexed

About

Rayid Ghani is a scholar working on Artificial Intelligence, Information Systems and Safety Research. According to data from OpenAlex, Rayid Ghani has authored 76 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Artificial Intelligence, 19 papers in Information Systems and 7 papers in Safety Research. Recurrent topics in Rayid Ghani's work include Data Mining Algorithms and Applications (7 papers), Text and Document Classification Technologies (7 papers) and Ethics and Social Impacts of AI (6 papers). Rayid Ghani is often cited by papers focused on Data Mining Algorithms and Applications (7 papers), Text and Document Classification Technologies (7 papers) and Ethics and Social Impacts of AI (6 papers). Rayid Ghani collaborates with scholars based in United States, Switzerland and Portugal. Rayid Ghani's co-authors include Kamal Nigam, Seán Slattery, Yiming Yang, Andrew Fano, Marko Krema, Yan Liu, Katharina Probst, Kit T. Rodolfa, Rosie Jones and Chad Cumby and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and American Journal of Public Health.

In The Last Decade

Rayid Ghani

69 papers receiving 2.3k citations

Hit Papers

Analyzing the effectiveness and applicability of co-training 2000 2026 2008 2017 2000 200 400 600
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.

  1. Analyzing the effectiveness and applicability of co-training
    2000 692 citations Rayid Ghani et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rayid Ghani United States 25 1.5k 544 378 190 170 76 2.5k
Ninghao Liu United States 19 1.4k 0.9× 365 0.7× 253 0.7× 145 0.8× 80 0.5× 71 2.2k
Shimei Pan United States 21 1.3k 0.8× 352 0.6× 457 1.2× 55 0.3× 165 1.0× 92 2.2k
Amina Adadi Morocco 10 2.1k 1.4× 276 0.5× 314 0.8× 448 2.4× 106 0.6× 19 3.5k
Xiaohui Tao Australia 27 1.4k 0.9× 553 1.0× 271 0.7× 128 0.7× 124 0.7× 205 2.8k
Ashish Gupta United States 26 589 0.4× 337 0.6× 219 0.6× 152 0.8× 585 3.4× 89 2.9k
Ziwei Ji Hong Kong 10 1.3k 0.8× 259 0.5× 170 0.4× 378 2.0× 142 0.8× 22 2.1k
Kush R. Varshney United States 26 1.2k 0.8× 297 0.5× 231 0.6× 247 1.3× 204 1.2× 135 2.7k
Paulo Lisböa United Kingdom 31 1.1k 0.7× 220 0.4× 289 0.8× 81 0.4× 172 1.0× 181 3.6k
Massimo Esposito Italy 24 1.0k 0.6× 240 0.4× 203 0.5× 186 1.0× 159 0.9× 129 2.2k
Przemysław Kazienko Poland 23 791 0.5× 439 0.8× 196 0.5× 134 0.7× 318 1.9× 117 2.1k

Countries citing papers authored by Rayid Ghani

Since Specialization
Citations

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

Fields of papers citing papers by Rayid Ghani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rayid Ghani

This figure shows the co-authorship network connecting the top 25 collaborators of Rayid Ghani. A scholar is included among the top collaborators of Rayid Ghani 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 Rayid Ghani. Rayid Ghani 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.
Ghani, Rayid, Ebrahim Farjah, & Mohammad Reza Oboudi. (2025). A mathematical model for the development of distributed energy storage devices in the V2V charging process systems based on fuzzy graph theory. Journal of Energy Storage. 110. 115269–115269. 4 indexed citations
2.
Cook, Andrew S., Pamela Cooper, Rayid Ghani, et al.. (2025). "You're in a Ferrari. I'm Waiting for the Bus": Confronting Tensions in Community-University Partnerships. Proceedings of the ACM on Human-Computer Interaction. 9(2). 1–28.
3.
4.
Kern, Christoph, et al.. (2025). Algorithms for reliable decision-making need causal reasoning. Nature Computational Science. 5(5). 356–360. 1 indexed citations
5.
Amarasinghe, Kasun, Kit T. Rodolfa, S. M. Jesus, et al.. (2024). On the Importance of Application-Grounded Experimental Design for Evaluating Explainable ML Methods. Proceedings of the AAAI Conference on Artificial Intelligence. 38(19). 20921–20929. 3 indexed citations
6.
Frey, Arun, et al.. (2024). Preventing Eviction-Caused Homelessness through ML-Informed Distribution of Rental Assistance. Proceedings of the AAAI Conference on Artificial Intelligence. 38(20). 22393–22400.
7.
Rodolfa, Kit T. & Rayid Ghani. (2021). Taking Our Medicine: Standardizing Data Science Education With Practice at the Core. SHILAP Revista de lepidopterología. 1 indexed citations
8.
Rodolfa, Kit T., Hemank Lamba, & Rayid Ghani. (2020). Empirical observation of negligible fairness-accuracy trade-offs in machine learning for public policy. arXiv (Cornell University). 56 indexed citations
9.
Ramachandran, Arthi, Avishek Kumar, Joe Walsh, et al.. (2020). Predictive Analytics for Retention in Care in an Urban HIV Clinic. Scientific Reports. 10(1). 6421–6421. 26 indexed citations
10.
Vollmer, Sebastian J., Bilal A. Mateen, Gergő Bohner, et al.. (2020). Machine learning and artificial intelligence research for patient benefit: 20 critical questions on transparency, replicability, ethics, and effectiveness. BMJ. 368. l6927–l6927. 307 indexed citations
11.
Ghani, Rayid, et al.. (2019). Combining Structured and Unstructured Data for Predicting Risk of Readmission for Heart Failure Patients. Studies in health technology and informatics. 264. 238–242. 13 indexed citations
12.
Ghani, Rayid, et al.. (2019). Using Ensemble Machine Learning Methods for Predicting Risk of Readmission for Heart Failure. Studies in health technology and informatics. 264. 243–247. 15 indexed citations
13.
Pan, Ian, et al.. (2017). Machine Learning for Social Services: A Study of Prenatal Case Management in Illinois. American Journal of Public Health. 107(6). 938–944. 27 indexed citations
14.
Catlett, Charlie & Rayid Ghani. (2015). Big Data for Social Good. Big Data. 3(1). 1–2. 10 indexed citations
15.
Cumby, Chad & Rayid Ghani. (2011). A Machine Learning Based System for Semi-Automatically Redacting Documents. Proceedings of the AAAI Conference on Artificial Intelligence. 25(2). 1628–1635. 29 indexed citations
16.
Ghani, Rayid & Carlos Soares. (2006). Data mining for business applications. ACM SIGKDD Explorations Newsletter. 8(2). 79–81. 4 indexed citations
17.
Petrushin, Valery A., Rayid Ghani, & Anatole Gershman. (2005). A Bayesian Framework for Robust Reasoning from Sensor Networks.. National Conference on Artificial Intelligence. 141–143.
18.
Ghani, Rayid. (2002). Combining Labeled and Unlabeled Data for MultiClass Text Categorization. International Conference on Machine Learning. 187–194. 78 indexed citations
19.
Ghani, Rayid, Seán Slattery, & Yiming Yang. (2001). Hypertext Categorization using Hyperlink Patterns and Meta Data. International Conference on Machine Learning. 178–185. 40 indexed citations
20.
Ghani, Rayid. (2000). Using Error-Correcting Codes for Text Classification. International Conference on Machine Learning. 303–310. 57 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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