Mehmet A. Orgun

8.0k citations
231 papers · 4.9k indexed · 2 hit papers · h-index 36

Mehmet A. Orgun

222 papers receiving 4.7k citations

Hit Papers

A Survey on Session-based Recommender Systems2832016202620192022250500750

Peers

Mehmet A. Orgun
Comparison fields: 5 of 200
  • Information Systems 2.0k
  • Artificial Intelligence 2.0k
  • Computer Networks and Communications 1.3k
  • Software 163
  • Signal Processing 309
Replace Hao Peng with:
Hao Peng China
Luc De Raedt Belgium
Naren Ramakrishnan United States
Zheng Wang China
Charles X. Ling Canada
Lu Liu China
Pádraig Cunningham Ireland
Wagner Meira Brazil
André C. P. L. F. de Carvalho Brazil
Anand Nayyar Vietnam
Mehmet A. Orgun relative to Hao Peng China Hao Peng's profile →
Citations per field
00.5×2.7×
Hao Peng · 1×
Citations per year

Countries citing papers authored by Mehmet A. Orgun

Since Specialization
Citations

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

Fields of papers citing papers by Mehmet A. Orgun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mehmet A. Orgun. 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 Mehmet A. Orgun. The network helps show where Mehmet A. Orgun may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Mehmet A. Orgun, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mehmet A. Orgun Line = papers co-authored together Mehmet A. Orgun links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20238
2 202213
3 202142
4
A Survey on Session-based Recommender Systemsbreakdown →
2021283
5 202019
6 202024
7 202014
8 20208
9 201929
10 201862
11 20161
12
ADOPTION OF DATA-DRIVEN DECISION MAKING IN FIRE EMERGENCY MANAGEMENT
20161
13 20145
14
Proceedings of the 3rd international conference on Security of information and networks
20104
15 201014
16 20093
17
Iterated belief contraction from first principles
20079
18
Unsupervised Learning Aided by Clustering and Local-Global Hierarchical Analysis in Knowledge Exploration
20071
19
AI 2007 : Advances in artificial intelligence : 20th Australian Joint Conference on Artificial Intelligence Gold Coast, Australia, December 2-6, 2007 : proceedings
20077
20
An Overview Of Temporal Data Mining.
200228

About Mehmet A. Orgun

Mehmet A. Orgun is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems, having authored 231 papers that have together received 4.9k indexed citations. Recurring topics across this work include Access Control and Trust (27 papers), Logic, Reasoning, and Knowledge (24 papers), Semantic Web and Ontologies (24 papers), Quantum Information and Cryptography (21 papers), Quantum Computing Algorithms and Architecture (18 papers), Advanced Graph Neural Networks (18 papers), Advanced Database Systems and Queries (16 papers) and Recommender Systems and Techniques (15 papers). The work is most often cited by research in Information Systems (2.0k citations), Artificial Intelligence (2.0k citations) and Computer Networks and Communications (1.3k citations). Mehmet A. Orgun has collaborated with scholars based in Australia, China and Macao. Frequent co-authors include Yan Wang, Guanfeng Liu, Hong Lai, Josef Pieprzyk, Rajan Shankaran, Lei Pan, Jun Zhang, Fuyuan Xiao, Quan Z. Sheng and Shoujin Wang. Their work appears in journals such as PLoS ONE, Scientific Reports and Computers in Human Behavior.

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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