Anders Arpteg
Impact in
- Software top 10%
- Software Reliability and Analysis Research
Papers in
-
- Data Quality and Management 3
-
- Web Data Mining and Analysis 3
- Service-Oriented Architecture and Web Services 2
- Software Engineering Research 1
- Co-authors
- Jan Bosch (4 shared papers)Aiswarya Raj Munappy (3 shared papers)Helena Holmström Olsson (3 shared papers)Mihhail Matskin (1 shared paper)Amir H. Payberah (1 shared paper)
- Journals
- Journal of Systems and Software (1 paper)Lecture notes in computer science (1 paper)Zenodo (CERN European Organization for Nuclear Research) (1 paper)Chalmers Research (Chalmers University of Technology) (1 paper)arXiv (Cornell University) (1 paper)
- Partner nations
- Sweden
In The Last Decade
Anders Arpteg
6 papers receiving 341 citations
Peers
Comparison fields: 5 of 93
- Software 44
- Health Informatics 9
- Management Information Systems 57
- Information Systems 118
- Information Systems and Management 22
Countries citing papers authored by Anders Arpteg
This map shows the geographic impact of Anders Arpteg'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 Anders Arpteg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anders Arpteg more than expected).
Fields of papers citing papers by Anders Arpteg
This network shows the impact of papers produced by Anders Arpteg. 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 Anders Arpteg. The network helps show where Anders Arpteg may publish in the future.
Co-authors
The 5 scholars most cited alongside Anders Arpteg, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 143 | |
| 2 | 2022 | 118 | |
| 3 | 2019 | 80 | |
| 4 | Intelligent Semi-Structured Information Extraction | 2005 | 21 |
| 5 | 2021 | 4 | |
| 6 | User-Driven Semi-Structured Information Extraction | 2004 | 2 |
| 7 | 2022 | 1 | |
| 8 | Semi-Structured Complex List Extraction | 2004 | 1 |
| 9 | 2006 | 0 |
About Anders Arpteg
Anders Arpteg is a scholar working on Management Science and Operations Research, Information Systems, Artificial Intelligence, Computer Networks and Communications and Management Information Systems, having authored 9 papers that have together received 370 indexed citations. Recurring topics across this work include Data Quality and Management (3 papers), Web Data Mining and Analysis (3 papers), Machine Learning and Data Classification (2 papers), Service-Oriented Architecture and Web Services (2 papers), Advanced Database Systems and Queries (2 papers), Software Engineering Research (1 paper), Data Stream Mining Techniques (1 paper) and Big Data and Business Intelligence (1 paper). The work is most often cited by research in Software (44 citations), Health Informatics (9 citations), Management Information Systems (57 citations), Information Systems (118 citations) and Information Systems and Management (22 citations). Anders Arpteg has collaborated with scholars based in Sweden. Frequent co-authors include Jan Bosch, Aiswarya Raj Munappy, Helena Holmström Olsson, Mihhail Matskin and Amir H. Payberah. Their work appears in journals such as Journal of Systems and Software, Lecture notes in computer science, Zenodo (CERN European Organization for Nuclear Research), Chalmers Research (Chalmers University of Technology) and arXiv (Cornell University).
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.