I. Budak Arpinar
- Artificial Intelligence top 1%
- Information Systems top 0.5%
- Computer Networks and Communications top 5%
- Management Information Systems top 5%
- Signal Processing top 5%
- Co-authors
- Boanerges Aleman-MezaAmit ShethSamir TartirC. R. RamakrishnanAngela MadukoWil M. P. van der AalstMichael MooreTim Finin
- Topics
- Semantic Web and Ontologies (26 papers)Service-Oriented Architecture and Web Services (16 papers)Advanced Database Systems and Queries (9 papers)
- Partner nations
- United StatesTürkiyeSpain
In The Last Decade
I. Budak Arpinar
43 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 77
- Artificial Intelligence 920
- Information Systems 814
- Computer Networks and Communications 288
- Management Information Systems 205
- Signal Processing 168
Countries citing papers authored by I. Budak Arpinar
This map shows the geographic impact of I. Budak Arpinar'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 I. Budak Arpinar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites I. Budak Arpinar more than expected).
Fields of papers citing papers by I. Budak Arpinar
This network shows the impact of papers produced by I. Budak Arpinar. 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 I. Budak Arpinar. The network helps show where I. Budak Arpinar may publish in the future.
Co-authorship network of co-authors of I. Budak Arpinar
This figure shows the co-authorship network connecting the top 25 collaborators of I. Budak Arpinar. A scholar is included among the top collaborators of I. Budak Arpinar 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 I. Budak Arpinar. I. Budak Arpinar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 32 | |
| 4 | Harnessing Crowds and Experts for Semantic Annotation of the Qur'an. | 1 |
| 5 | 2 | |
| 6 | 7 | |
| 7 | 26 | |
| 8 | 9 | |
| 9 | 93 | |
| 10 | 5 | |
| 11 | Ranking Complex Relationships on the Semantic Web | 12 |
| 12 | Peer-to-Peer Discovery of Semantic Associations | 4 |
| 13 | 1 | |
| 14 | 63 | |
| 15 | Context-aware semantic association ranking | 86 |
| 16 | 9 | |
| 17 | 1 Composition, Performance Analysis and Simulation of Web Services | 11 |
| 18 | 20 | |
| 19 | 91 | |
| 20 | Correctness of Workflow in the Presence of Concurrency. | 3 |
About I. Budak Arpinar
I. Budak Arpinar is a scholar working on Information Systems, Artificial Intelligence and Information Systems and Management, having authored 48 papers that have together received 1.3k indexed citations. Recurring topics across this work include Semantic Web and Ontologies (26 papers), Service-Oriented Architecture and Web Services (16 papers) and Advanced Database Systems and Queries (9 papers). The work is most often cited by research in Information Systems (814 citations), Artificial Intelligence (920 citations) and Management Information Systems (205 citations). I. Budak Arpinar has collaborated with scholars based in United States, Türkiye and Spain. Frequent co-authors include Boanerges Aleman-Meza, Amit Sheth, Samir Tartir, C. R. Ramakrishnan, Angela Maduko, Wil M. P. van der Aalst, Michael Moore, Tim Finin, Meenakshi Nagarajan and Li Ding. Their work appears in journals such as Diabetes, ACM SIGMOD Record and Cyberpsychology Behavior and Social Networking.
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.