Heiner Stuckenschmidt
About
In The Last Decade
Heiner Stuckenschmidt
225 papers receiving 4.2k citations
Hit Papers
Peers
Comparison fields: 5 of 131
- Artificial Intelligence 2.8k
- Information Systems 1.5k
- Computer Networks and Communications 1.1k
- Computer Vision and Pattern Recognition 839
- Management Science and Operations Research 615
Countries citing papers authored by Heiner Stuckenschmidt
This map shows the geographic impact of Heiner Stuckenschmidt'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 Heiner Stuckenschmidt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heiner Stuckenschmidt more than expected).
Fields of papers citing papers by Heiner Stuckenschmidt
This network shows the impact of papers produced by Heiner Stuckenschmidt. 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 Heiner Stuckenschmidt. The network helps show where Heiner Stuckenschmidt may publish in the future.
Co-authorship network of co-authors of Heiner Stuckenschmidt
This figure shows the co-authorship network connecting the top 25 collaborators of Heiner Stuckenschmidt. A scholar is included among the top collaborators of Heiner Stuckenschmidt 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 Heiner Stuckenschmidt. Heiner Stuckenschmidt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 23 | |
| 2 | 2 | |
| 3 | Why a naive way to combine symbolic and latent knowledge base completion works surprisingly well | 1 |
| 4 | 120 | |
| 5 | 15 | |
| 6 | Multi-Attribute Decision Making with Weighted Description Logics | 0 |
| 7 | Group decision making via probabilistic belief merging | 2 |
| 8 | Lost in discussion? - Tracking opinion groups in complex political discussions by the example of the FOMC meeting transcriptions | 5 |
| 9 | Towards Distributed MCMC Inference in Probabilistic Knowledge Bases | 2 |
| 10 | Implementing semantic precision and recall | 1 |
| 11 | A unified approach for representing metametadata | 4 |
| 12 | Supporting manual mapping revision using logical reasoning | 11 |
| 13 | Partial Matchmaking for complex Product and Service Descriptions. | 3 |
| 14 | A framework for representing ontology mappings under probabilities and inconsistency | 6 |
| 15 | Improving automatically created mappings using logical reasoning | 11 |
| 16 | 19 | |
| 17 | A Formal Investigation of Mapping Languages for Terminological Knowledge. | 3 |
| 18 | Terminology Integration for the Management of distributed Information Resources. | 10 |
| 19 | Ontology-Based Integration of Information — A Survey of Existing Approaches breakdown → | 662 |
| 20 | Modeling Land Transactions: Legal Ontologies in Context | 6 |
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.