Ben Azvine

843 citations
42 papers · 484 · h-index 12

Impact in

Papers in

Ben Azvine

38 papers receiving 411 citations

Peers

Ben Azvine
Comparison fields: 5 of 61
  • Management Information Systems 157
  • Management Science and Operations Research 72
  • Information Systems 104
  • Strategy and Management 69
  • Signal Processing 46
Replace Sung-Hyuk Park with:
Sung-Hyuk Park South Korea
Yuhong Yan Canada
Justyna Zander United States
Xiong Wang China
Wen-Hsiang Wu Taiwan
Aso Mohammad Darwesh Iraq
Katerina Papadaki United Kingdom
Gunhee Lee South Korea
Ben Azvine relative to Sung-Hyuk Park South Korea Sung-Hyuk Park's profile →
Citations per field
00.5×5.1×
Sung-Hyuk Park · 1×
Citations per year

Countries citing papers authored by Ben Azvine

Since Specialization
Citations

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

Fields of papers citing papers by Ben Azvine

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ben Azvine, 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 Ben Azvine Line = papers co-authored together Ben Azvine links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995100
2 200677
3 200569
4 200723
5 200220
6 199419
7 200819
8 200216
9 201315
10 200313
11 200313
12 200311
13 19989
14 19927
15 20047
16
EUNITE 2001 - European Symposium on Intelligent Technologies, Hybrid Systems and their implementation on Smart Adaptive Systems, Tenerife
20015
17
A mass assignment approach to granular association rules for multiple taxonomies
20075
18 19985
19 20064
20 20054

About Ben Azvine

Ben Azvine is a scholar working on Artificial Intelligence, Information Systems, Signal Processing, Management Information Systems and Computational Theory and Mathematics, having authored 42 papers that have together received 484 indexed citations. Recurring topics across this work include Fuzzy Logic and Control Systems (7 papers), Semantic Web and Ontologies (7 papers), Data Mining Algorithms and Applications (6 papers), Data Management and Algorithms (6 papers), Big Data and Business Intelligence (6 papers), Rough Sets and Fuzzy Logic (6 papers), Natural Language Processing Techniques (4 papers) and Multi-Criteria Decision Making (3 papers). The work is most often cited by research in Management Information Systems (157 citations), Management Science and Operations Research (72 citations), Information Systems (104 citations), Strategy and Management (69 citations) and Signal Processing (46 citations). Ben Azvine has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Detlef Nauck, Zhanfeng Cui, R.J. Wynne, G.R. Tomlinson, Trevor Martin, Basim Majeed, Masoud Nikravesh, Martin Spott, Yun Shen and T. P. Martin. Their work appears in journals such as Soft Computing, BT Technology Journal, IEEE Transactions on Fuzzy Systems, Smart Materials and Structures and Transactions of the Institute of Measurement and Control.

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.

Explore authors with similar magnitude of impact