Andreas Olligschlaeger
- Sociology and Political Science top 10%
- Artificial Intelligence
- Computer Vision and Pattern Recognition top 10%
- Economics and Econometrics
- Epidemiology
- Co-authors
- Wilpen L. GorrMichael G. ChristelJacqueline CohenChang HuangHoward D. WactlarAlexander G. HauptmannReihaneh RabbanyNamyong Park
- Topics
- Video Analysis and Summarization (3 papers)Data-Driven Disease Surveillance (3 papers)Crime Patterns and Interventions (2 papers)
- Journals
- Communications of the ACMIEEE Transactions on Visualization and Computer GraphicsInternational Journal of Forecasting
- Partner nations
- United StatesCanadaAlgeria
In The Last Decade
Andreas Olligschlaeger
11 papers receiving 276 citations
Peers
Comparison fields: 5 of 64
- Sociology and Political Science 141
- Artificial Intelligence 72
- Computer Vision and Pattern Recognition 68
- Economics and Econometrics 53
- Epidemiology 44
Countries citing papers authored by Andreas Olligschlaeger
This map shows the geographic impact of Andreas Olligschlaeger'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 Andreas Olligschlaeger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andreas Olligschlaeger more than expected).
Fields of papers citing papers by Andreas Olligschlaeger
This network shows the impact of papers produced by Andreas Olligschlaeger. 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 Andreas Olligschlaeger. The network helps show where Andreas Olligschlaeger may publish in the future.
Co-authorship network of co-authors of Andreas Olligschlaeger
This figure shows the co-authorship network connecting the top 25 collaborators of Andreas Olligschlaeger. A scholar is included among the top collaborators of Andreas Olligschlaeger 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 Andreas Olligschlaeger. Andreas Olligschlaeger 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 | 0 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 7 | |
| 6 | 0 | |
| 7 | 45 | |
| 8 | 4 | |
| 9 | 123 | |
| 10 | 33 | |
| 11 | 26 | |
| 12 | Spatial analysis of crime using gis-based data: weighted spatial adaptive filtering and chaotic cellular forecasting with applications to street-level drug markets | 21 |
| 13 | 39 |
About Andreas Olligschlaeger
Andreas Olligschlaeger is a scholar working on Computer Science Applications, Management Science and Operations Research and Transportation, having authored 13 papers that have together received 304 indexed citations. Recurring topics across this work include Video Analysis and Summarization (3 papers), Data-Driven Disease Surveillance (3 papers) and Crime Patterns and Interventions (2 papers). The work is most often cited by research in Transportation (23 citations), Computer Vision and Pattern Recognition (68 citations) and Sociology and Political Science (141 citations). Andreas Olligschlaeger has collaborated with scholars based in United States, Canada and Algeria. Frequent co-authors include Wilpen L. Gorr, Michael G. Christel, Jacqueline Cohen, Chang Huang, Howard D. Wactlar, Alexander G. Hauptmann, Reihaneh Rabbany, Namyong Park, Duen Horng Chau and Christos Faloutsos. Their work appears in journals such as Communications of the ACM, IEEE Transactions on Visualization and Computer Graphics and International Journal of Forecasting.
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.