H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 47 Citations 10,464 110 World Ranking 3297 National Ranking 10

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Database
  • Algorithm

His main research concerns Data mining, Computer security, Location-based service, Theoretical computer science and Nearest neighbor search. In general Data mining, his work in Relational database is often linked to Spatial database linking many areas of study. In general Computer security study, his work on Attack model, Anonymity and Privacy software often relates to the realm of Association, thereby connecting several areas of interest.

His Location-based service research includes themes of Overhead and Mobile device. His research in Theoretical computer science tackles topics such as Heuristic which are related to areas like Semantics, Matching, Graph and Friend of a friend. His work carried out in the field of Nearest neighbor search brings together such families of science as Ranking, Similarity measure and Edit distance.

His most cited work include:

  • Private queries in location based services: anonymizers are not necessary (663 citations)
  • Preventing Location-Based Identity Inference in Anonymous Spatial Queries (573 citations)
  • PRIVE: anonymous location-based queries in distributed mobile systems (360 citations)

What are the main themes of his work throughout his whole career to date?

Panos Kalnis mostly deals with Data mining, Theoretical computer science, Scalability, Database and Information retrieval. His Data mining study combines topics in areas such as Cluster analysis and Anonymity. Panos Kalnis has included themes like SPARQL, RDF, Approximation algorithm, Query optimization and Graph in his Theoretical computer science study.

His Scalability research is multidisciplinary, relying on both Parallel computing, Distributed computing, Peer-to-peer and Server. His Database research integrates issues from Private information retrieval and Encryption. In his research, Overhead is intimately related to Mobile device, which falls under the overarching field of Encryption.

He most often published in these fields:

  • Data mining (31.94%)
  • Theoretical computer science (25.69%)
  • Scalability (15.97%)

What were the highlights of his more recent work (between 2018-2021)?

  • Artificial intelligence (7.64%)
  • Deep learning (4.86%)
  • Algorithm (9.03%)

In recent papers he was focusing on the following fields of study:

Panos Kalnis mainly focuses on Artificial intelligence, Deep learning, Algorithm, Data science and Machine learning. His Artificial intelligence study incorporates themes from Graph and Linear model. His Deep learning research includes themes of Technical report and Multimedia.

His work in the fields of Computation overlaps with other areas such as Macromolecular docking. His work on Analytics as part of general Data science research is frequently linked to Smart city and Self driving, bridging the gap between disciplines. His Machine learning study integrates concerns from other disciplines, such as Key and Benchmark.

Between 2018 and 2021, his most popular works were:

  • Scaling Distributed Machine Learning with In-Network Aggregation (39 citations)
  • Parallel Trajectory-to-Location Join (36 citations)
  • GCN-MF: Disease-Gene Association Identification By Graph Convolutional Networks and Matrix Factorization (24 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Algorithm
  • Database

The scientist’s investigation covers issues in Artificial intelligence, Deep learning, Algorithm, Machine learning and Technical report. Workload and Process are fields of study that overlap with his Artificial intelligence research. His studies in Deep learning integrate themes in fields like Graph, Linear model and Graph.

His Computation and Quantization study in the realm of Algorithm connects with subjects such as Implementation. His research in Machine learning intersects with topics in Key and Benchmark. The study of Technical report is intertwined with the study of Multimedia in a number of ways.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Top Publications

Private queries in location based services: anonymizers are not necessary

Gabriel Ghinita;Panos Kalnis;Ali Khoshgozaran;Cyrus Shahabi.
international conference on management of data (2008)

989 Citations

Preventing Location-Based Identity Inference in Anonymous Spatial Queries

P. Kalnis;G. Ghinita;K. Mouratidis;D. Papadias.
IEEE Transactions on Knowledge and Data Engineering (2007)

935 Citations

PRIVE: anonymous location-based queries in distributed mobile systems

Gabriel Ghinita;Panos Kalnis;Spiros Skiadopoulos.
the web conference (2007)

568 Citations

On discovering moving clusters in spatio-temporal data

Panos Kalnis;Nikos Mamoulis;Spiridon Bakiras.
symposium on large spatial databases (2005)

536 Citations

Efficient OLAP Operations in Spatial Data Warehouses

Dimitris Papadias;Panos Kalnis;Jun Zhang;Yufei Tao.
symposium on large spatial databases (2001)

448 Citations

Privacy-preserving anonymization of set-valued data

Manolis Terrovitis;Nikos Mamoulis;Panos Kalnis.
very large data bases (2008)

389 Citations

Mizan: a system for dynamic load balancing in large-scale graph processing

Zuhair Khayyat;Karim Awara;Amani Alonazi;Hani Jamjoom.
european conference on computer systems (2013)

377 Citations

Fast data anonymization with low information loss

Gabriel Ghinita;Panagiotis Karras;Panos Kalnis;Nikos Mamoulis.
very large data bases (2007)

365 Citations

GraMi: frequent subgraph and pattern mining in a single large graph

Mohammed Elseidy;Ehab Abdelhamid;Spiros Skiadopoulos;Panos Kalnis.
very large data bases (2014)

252 Citations

MOBIHIDE: a mobilea peer-to-peer system for anonymous location-based queries

Gabriel Ghinita;Panos Kalnis;Spiros Skiadopoulos.
symposium on large spatial databases (2007)

245 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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Top Scientists Citing Panos Kalnis

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