Fabian Hadiji
- Sociology and Political Science
- Artificial Intelligence
- Marketing top 10%
- Information Systems top 10%
- Clinical Psychology
- Co-authors
- Kristian KerstingChristian BauckhageRafet SifaAnders DrachenChristian ThurauJulian RungeGerhard GrögerAlejandro Molina
- Topics
- Bayesian Modeling and Causal Inference (4 papers)Complex Network Analysis Techniques (4 papers)Customer churn and segmentation (3 papers)
- Journals
- Machine LearningTransactions in GISUniversity of Southern Denmark Research Portal (University of Southern Denmark)
- Partner nations
- GermanyDenmarkSouth Korea
In The Last Decade
Fabian Hadiji
14 papers receiving 280 citations
Peers
Comparison fields: 5 of 71
- Sociology and Political Science 78
- Artificial Intelligence 76
- Marketing 73
- Information Systems 46
- Clinical Psychology 45
Countries citing papers authored by Fabian Hadiji
This map shows the geographic impact of Fabian Hadiji'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 Fabian Hadiji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fabian Hadiji more than expected).
Fields of papers citing papers by Fabian Hadiji
This network shows the impact of papers produced by Fabian Hadiji. 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 Fabian Hadiji. The network helps show where Fabian Hadiji may publish in the future.
Co-authorship network of co-authors of Fabian Hadiji
This figure shows the co-authorship network connecting the top 25 collaborators of Fabian Hadiji. A scholar is included among the top collaborators of Fabian Hadiji 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 Fabian Hadiji. Fabian Hadiji is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 9 | |
| 3 | 4 | |
| 4 | 5 | |
| 5 | 30 | |
| 6 | 53 | |
| 7 | Parameterizing the distance distribution of undirected networks | 3 |
| 8 | Computer science on the move: inferring migration regularities from the web via compressed label propagation | 4 |
| 9 | 21 | |
| 10 | 13 | |
| 11 | 106 | |
| 12 | 20 | |
| 13 | 7 | |
| 14 | Lifted message passing for satisfiability | 1 |
| 15 | 13 |
About Fabian Hadiji
Fabian Hadiji is a scholar working on Marketing, Statistical and Nonlinear Physics and Transportation, having authored 15 papers that have together received 290 indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (4 papers), Complex Network Analysis Techniques (4 papers) and Customer churn and segmentation (3 papers). The work is most often cited by research in Computational Mathematics (5 citations), Marketing (73 citations) and Geology (23 citations). Fabian Hadiji has collaborated with scholars based in Germany, Denmark and South Korea. Frequent co-authors include Kristian Kersting, Christian Bauckhage, Rafet Sifa, Anders Drachen, Christian Thurau, Julian Runge, Gerhard Gröger, Alejandro Molina, Youness Dehbi and Lutz Plümer. Their work appears in journals such as Machine Learning, Transactions in GIS and University of Southern Denmark Research Portal (University of Southern Denmark).
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.