Gezim Sejdiu

About Gezim Sejdiu

Gezim Sejdiu, With an exceptional h-index of 8 and a recent h-index of 7 (since 2020), a distinguished researcher at Rheinische Friedrich-Wilhelms-Universität Bonn, specializes in the field of Semantic Web, Big Data, Machine Learning, Data Analytics, Distributed Systems.

His recent articles reflect a diverse array of research interests and contributions to the field:

Efficient semantic summary graphs for querying large knowledge graphs

Efficient Distributed In-Memory Processing of RDF Datasets

Chapter 7 Scalable Knowledge Graph Processing Using SANSA

HPI Future SOC Lab–Proceedings 2017

DISE: A Distributed in-Memory SPARQL Processing Engine over Tensor Data

Gezim Sejdiu Information

University

Position

Data Engineer at @DPDHL ; PhD from @

Citations(all)

285

Citations(since 2020)

248

Cited By

154

hIndex(all)

8

hIndex(since 2020)

7

i10Index(all)

6

i10Index(since 2020)

5

Email

University Profile Page

Google Scholar

Gezim Sejdiu Skills & Research Interests

Semantic Web

Big Data

Machine Learning

Data Analytics

Distributed Systems

Top articles of Gezim Sejdiu

Efficient semantic summary graphs for querying large knowledge graphs

International Journal of Information Management Data Insights

2022/4/1

Gezim Sejdiu
Gezim Sejdiu

H-Index: 6

Damien Graux
Damien Graux

H-Index: 7

Efficient Distributed In-Memory Processing of RDF Datasets

2020/10/27

Gezim Sejdiu
Gezim Sejdiu

H-Index: 6

Chapter 7 Scalable Knowledge Graph Processing Using SANSA

2020/7/16

DISE: A Distributed in-Memory SPARQL Processing Engine over Tensor Data

2020

See List of Professors in Gezim Sejdiu University(Rheinische Friedrich-Wilhelms-Universität Bonn)

Co-Authors

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