Rihan Hai

851 total citations
27 papers, 323 citations indexed

About

Rihan Hai is a scholar working on Artificial Intelligence, Management Science and Operations Research and Computer Networks and Communications. According to data from OpenAlex, Rihan Hai has authored 27 papers receiving a total of 323 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 10 papers in Management Science and Operations Research and 7 papers in Computer Networks and Communications. Recurrent topics in Rihan Hai's work include Data Quality and Management (9 papers), Advanced Database Systems and Queries (6 papers) and Semantic Web and Ontologies (5 papers). Rihan Hai is often cited by papers focused on Data Quality and Management (9 papers), Advanced Database Systems and Queries (6 papers) and Semantic Web and Ontologies (5 papers). Rihan Hai collaborates with scholars based in Netherlands, Germany and Switzerland. Rihan Hai's co-authors include Christoph Quix, Sandra Geisler, Matthias Jarke, Christian Brecher, Asterios Katsifodimos, Martin Henze, Tobias Meisen, Thomas Bergs, Philipp Niemietz and Andreas Bührig–Polaczek and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Journal of Medical Internet Research.

In The Last Decade

Rihan Hai

20 papers receiving 316 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rihan Hai Netherlands 7 121 106 101 90 62 27 323
Alexander Tolstoy Russia 7 46 0.4× 64 0.6× 116 1.1× 114 1.3× 21 0.3× 21 268
Antônio Espósito Italy 12 38 0.3× 112 1.1× 219 2.2× 273 3.0× 34 0.5× 62 468
Raoul-Gabriel Urma United Kingdom 5 25 0.2× 139 1.3× 64 0.6× 98 1.1× 22 0.4× 7 321
Katherine L. Morse United States 13 241 2.0× 41 0.4× 296 2.9× 102 1.1× 48 0.8× 24 453
Vasco Amaral Portugal 11 20 0.2× 156 1.5× 67 0.7× 169 1.9× 23 0.4× 62 351
Nadeem Iftikhar Denmark 8 22 0.2× 67 0.6× 75 0.7× 67 0.7× 17 0.3× 30 228
Stefan Wesner Germany 8 17 0.1× 71 0.7× 193 1.9× 137 1.5× 22 0.4× 46 314
Ruslan Dautov United States 6 29 0.2× 118 1.1× 134 1.3× 116 1.3× 24 0.4× 12 354
Daniel Schuster Germany 10 36 0.3× 70 0.7× 111 1.1× 79 0.9× 10 0.2× 44 309
Christian Neureiter Austria 10 35 0.3× 91 0.9× 58 0.6× 62 0.7× 22 0.4× 48 401

Countries citing papers authored by Rihan Hai

Since Specialization
Citations

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

Fields of papers citing papers by Rihan Hai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rihan Hai

This figure shows the co-authorship network connecting the top 25 collaborators of Rihan Hai. A scholar is included among the top collaborators of Rihan Hai 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 Rihan Hai. Rihan Hai 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.
Katsifodimos, Asterios, et al.. (2025). Accelerating machine learning queries with linear algebra query processing. Distributed and Parallel Databases. 43(1). 1 indexed citations
2.
Li, Ziyu, et al.. (2024). Amalur: The Convergence of Data Integration and Machine Learning. IEEE Transactions on Knowledge and Data Engineering. 36(12). 7353–7367. 4 indexed citations
3.
Hai, Rihan, et al.. (2024). SiloFuse: Cross-silo Synthetic Data Generation with Latent Tabular Diffusion Models. 110–123. 1 indexed citations
4.
Hai, Rihan, et al.. (2024). AutoFeat: Transitive Feature Discovery over Join Paths. 1861–1873. 5 indexed citations
5.
6.
Li, Ziyu, et al.. (2024). Model Selection with Model Zoo via Graph Learning. 1296–1309.
7.
Hai, Rihan, et al.. (2024). Quantum Data Management: From Theory to Opportunities. 5376–5381. 1 indexed citations
8.
Aivaloglou, Efthimia, et al.. (2024). Human-in-the-Loop Feature Discovery for Tabular Data. 5215–5219.
9.
Hai, Rihan, et al.. (2024). Will Sharing Metadata Leak Privacy?. 317–323. 1 indexed citations
10.
Hai, Rihan, et al.. (2023). Data Lakes: A Survey of Functions and Systems. IEEE Transactions on Knowledge and Data Engineering. 35(12). 12571–12590. 33 indexed citations
11.
Li, Ziyu, et al.. (2023). Metadata Representations for Queryable Repositories of Machine Learning Models. IEEE Access. 11. 125616–125630.
12.
Li, Ziyu, et al.. (2023). Optimizing Machine Learning Inference Queries for Multiple Objectives. Research Repository (Delft University of Technology). 74–78.
13.
Katsifodimos, Asterios, et al.. (2023). An Empirical Performance Comparison between Matrix Multiplication Join and Hash Join on GPUs. Research Repository (Delft University of Technology). 184–190. 3 indexed citations
14.
Mulder, Skander, Anja J. Rueten‐Budde, Babette Bais, et al.. (2022). Dynamic Digital Twin: Diagnosis, Treatment, Prediction, and Prevention of Disease During the Life Course. Journal of Medical Internet Research. 24(9). e35675–e35675. 27 indexed citations
15.
Hai, Rihan, et al.. (2022). Join Path-Based Data Augmentation for Decision Trees. Research Repository (Delft University of Technology). 2971. 84–88. 2 indexed citations
16.
Hai, Rihan & Christoph Quix. (2019). Rewriting of plain SO tgds into nested tgds. Proceedings of the VLDB Endowment. 12(11). 1526–1538. 4 indexed citations
17.
Quix, Christoph, et al.. (2017). Ontology matching for patent classification. RWTH Publications (RWTH Aachen). 37–48. 1 indexed citations
18.
Quix, Christoph, et al.. (2016). GEMMS: A Generic and Extensible Metadata Management System for Data Lakes.. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 129–136. 19 indexed citations
19.
Quix, Christoph, et al.. (2016). Metadata Extraction and Management in Data Lakes With GEMMS. SHILAP Revista de lepidopterología. 67–83. 27 indexed citations
20.
Hai, Rihan, Sandra Geisler, & Christoph Quix. (2016). Constance. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 2097–2100. 107 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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