Panos Kalnis

10.0k total citations · 2 hit papers
119 papers, 5.7k citations indexed

About

Panos Kalnis is a scholar working on Signal Processing, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Panos Kalnis has authored 119 papers receiving a total of 5.7k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Signal Processing, 48 papers in Artificial Intelligence and 47 papers in Computer Networks and Communications. Recurrent topics in Panos Kalnis's work include Data Management and Algorithms (47 papers), Advanced Database Systems and Queries (25 papers) and Graph Theory and Algorithms (19 papers). Panos Kalnis is often cited by papers focused on Data Management and Algorithms (47 papers), Advanced Database Systems and Queries (25 papers) and Graph Theory and Algorithms (19 papers). Panos Kalnis collaborates with scholars based in Saudi Arabia, China and Hong Kong. Panos Kalnis's co-authors include Gabriel Ghinita, Shuo Shang, Dimitris Papadias, Nikos Mamoulis, Christian S. Jensen, Spiros Skiadopoulos, Kian‐Lee Tan, Lisi Chen, Yufei Tao and Kyriakos Mouratidis and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and PLoS ONE.

In The Last Decade

Panos Kalnis

116 papers receiving 5.5k citations

Hit Papers

align trajectories sort by overperformance

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.

Private queries in location based services

2008 507 citations Gabriel Ghinita, Panos Kalnis et al. National University of Singapore profile →
Preventing Location-Based Identity Inference in Anonymous Spatial Queries

2007 424 citations Panos Kalnis, Gabriel Ghinita et al. IEEE Transactions on Knowledge and Data Engineering profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Panos Kalnis Saudi Arabia	41	3.2k	1.4k	1.4k	1.1k	1.1k	119	5.7k
Vincent W. Zheng Singapore	31	2.7k 0.9×	667 0.5×	661 0.5×	1.3k 1.1×	1.1k 1.0×	79	5.1k
Jianliang Xu Hong Kong	44	2.3k 0.7×	3.0k 2.1×	1.5k 1.0×	1.3k 1.2×	679 0.6×	353	6.0k
Ada Wai-Chee Fu Hong Kong	38	3.1k 1.0×	1.1k 0.8×	2.0k 1.4×	900 0.8×	740 0.7×	106	5.1k
Nikos Mamoulis Hong Kong	46	2.9k 0.9×	2.1k 1.5×	3.4k 2.5×	2.0k 1.8×	1.1k 1.0×	216	6.5k
Frank McSherry United States	33	4.2k 1.3×	1.2k 0.9×	427 0.3×	1.2k 1.0×	808 0.8×	62	5.9k
Wei Fan United States	38	4.2k 1.3×	1.1k 0.7×	862 0.6×	1.1k 1.0×	662 0.6×	133	5.4k
Bolin Ding United States	31	1.9k 0.6×	1.2k 0.8×	1.3k 0.9×	755 0.7×	591 0.6×	119	3.8k
Walid G. Aref United States	38	2.1k 0.6×	2.5k 1.8×	3.0k 2.2×	1.1k 1.0×	1.2k 1.2×	211	5.6k
Moni Naor Israel	51	7.4k 2.3×	3.7k 2.6×	1.7k 1.2×	2.2k 1.9×	1.6k 1.5×	168	11.3k
Yufei Tao Hong Kong	50	3.1k 1.0×	3.6k 2.5×	5.6k 4.0×	1.5k 1.3×	1.4k 1.3×	195	8.6k

Countries citing papers authored by Panos Kalnis

Since Specialization

Citations

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

Fields of papers citing papers by Panos Kalnis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Panos Kalnis

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

All Works

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20 of 20 papers shown

Miao, Hao, et al.. (2025). LLMs Meet Cross-Modal Time Series Analytics: Overview and Directions. 101–106.

Kalnis, Panos, et al.. (2024). Task-Oriented GNNs Training on Large Knowledge Graphs for Accurate and Efficient Modeling. 1833–1846. 1 indexed citations

Jiang, Renhe, Shuo Shang, Lisi Chen, et al.. (2024). Next Point-of-Interest Recommendation With Adaptive Graph Contrastive Learning. IEEE Transactions on Knowledge and Data Engineering. 37(3). 1366–1379. 8 indexed citations

Barradas‐Bautista, Didier, et al.. (2023). Improving classification of correct and incorrect protein–protein docking models by augmenting the training set. Bioinformatics Advances. 3(1). vbad012–vbad012. 3 indexed citations

Kalnis, Panos, et al.. (2023). A Universal Question-Answering Platform for Knowledge Graphs. Proceedings of the ACM on Management of Data. 1(1). 1–25. 16 indexed citations

Xu, Hang, et al.. (2021). DeepReduce: A Sparse-tensor Communication Framework for Federated Deep Learning. King Abdullah University of Science and Technology Repository (King Abdullah University of Science and Technology). 34. 9 indexed citations

Xu, Hang, Chen-Yu Ho, Ahmed M. Abdelmoniem, et al.. (2020). Compressed Communication for Distributed Deep Learning: Survey and Quantitative Evaluation. King Abdullah University of Science and Technology Repository (King Abdullah University of Science and Technology). 22 indexed citations

Shang, Shuo, Lisi Chen, Zhewei Wei, et al.. (2018). Parallel trajectory similarity joins in spatial networks. The VLDB Journal. 27(3). 395–420. 107 indexed citations

Jamour, Fuad, Ibrahim Abdelaziz, & Panos Kalnis. (2018). A demonstration of MAGiQ. Proceedings of the VLDB Endowment. 11(12). 1978–1981. 6 indexed citations

10.

Jamour, Fuad, Spiros Skiadopoulos, & Panos Kalnis. (2017). Parallel Algorithm for Incremental Betweenness Centrality on Large Graphs. IEEE Transactions on Parallel and Distributed Systems. 29(3). 659–672. 37 indexed citations

11.

Abdelaziz, Ibrahim, et al.. (2017). Combining Vertex-Centric Graph Processing with SPARQL for Large-Scale RDF Data Analytics. IEEE Transactions on Parallel and Distributed Systems. 28(12). 3374–3388. 17 indexed citations

12.

Sapio, Amedeo, et al.. (2017). In-Network Computation is a Dumb Idea Whose Time Has Come. PORTO Publications Open Repository TOrino (Politecnico di Torino). 150–156. 187 indexed citations

13.

Soufan, Othman, et al.. (2016). DRABAL: novel method to mine large high-throughput screening assays using Bayesian active learning. Journal of Cheminformatics. 8(1). 64–64. 15 indexed citations

14.

Kleftogiannis, Dimitrios, Panos Kalnis, & Vladimir B. Bajić. (2013). Comparing Memory-Efficient Genome Assemblers on Stand-Alone and Cloud Infrastructures. PLoS ONE. 8(9). e75505–e75505. 17 indexed citations

15.

Shang, Shuo, et al.. (2012). User oriented trajectory search for trip recommendation. King Abdullah University of Science and Technology Repository (King Abdullah University of Science and Technology). 156–167. 127 indexed citations

16.

Ghinita, Gabriel, Yufei Tao, & Panos Kalnis. (2008). On the Anonymization of Sparse High-Dimensional Data. National University of Singapore. 715–724. 113 indexed citations

17.

Kalnis, Panos, et al.. (2008). DCMP: A Distributed Cycle Minimization Protocol for Peer-to-Peer Networks. IEEE Transactions on Parallel and Distributed Systems. 19(3). 363–377. 9 indexed citations

18.

Yang, Rui, Panos Kalnis, & Anthony K. H. Tung. (2005). Similarity evaluation on tree-structured data. 754–765. 103 indexed citations

19.

Kalnis, Panos, Wee Siong Ng, Beng Chin Ooi, Dimitris Papadias, & Kian‐Lee Tan. (2002). An adaptive peer-to-peer network for distributed caching of OLAP results. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 25–36. 55 indexed citations

20.

Papadias, Dimitris, Panos Kalnis, & Nikos Mamoulis. (1999). Hierarchical constraint satisfaction in spatial databases. The HKU Scholars Hub (University of Hong Kong). 142–147. 10 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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