Konstantine Arkoudas
- Artificial Intelligence top 10%
- Safety Research top 5%
- Computational Theory and Mathematics top 10%
- Cognitive Neuroscience
- Sociology and Political Science
- Co-authors
- Selmer BringsjordPaul BelloRitu ChadhaMartin RinardDavid R. MusserAlexandru SălcianuWael HamzaClaire Cardie
- Topics
- Logic, Reasoning, and Knowledge (13 papers)Topic Modeling (9 papers)Semantic Web and Ontologies (9 papers)
- Partner nations
- United StatesSweden
In The Last Decade
Konstantine Arkoudas
31 papers receiving 251 citations
Peers
Comparison fields: 5 of 49
- Artificial Intelligence 179
- Safety Research 74
- Computational Theory and Mathematics 62
- Cognitive Neuroscience 55
- Sociology and Political Science 42
Countries citing papers authored by Konstantine Arkoudas
This map shows the geographic impact of Konstantine Arkoudas'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 Konstantine Arkoudas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Konstantine Arkoudas more than expected).
Fields of papers citing papers by Konstantine Arkoudas
This network shows the impact of papers produced by Konstantine Arkoudas. 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 Konstantine Arkoudas. The network helps show where Konstantine Arkoudas may publish in the future.
Co-authorship network of co-authors of Konstantine Arkoudas
This figure shows the co-authorship network connecting the top 25 collaborators of Konstantine Arkoudas. A scholar is included among the top collaborators of Konstantine Arkoudas 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 Konstantine Arkoudas. Konstantine Arkoudas 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 | 18 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | Propositional Attitudes and Causation. | 21 |
| 9 | 8 | |
| 10 | Slate: An Argument-Centered Intelligent Assistant to Human Reasoners | 10 |
| 11 | 17 | |
| 12 | Reporting on Some Logic-Based Machine Reading Research. | 5 |
| 13 | Harnessing Intelligent Agent Technology to "Superteach" Reasoning | 0 |
| 14 | Vivid: A framework for combining diagrammatic and symbolic reasoning | 1 |
| 15 | 3 | |
| 16 | 3 | |
| 17 | 8 | |
| 18 | Integrating model checking and theorem proving for relational reasoning | 2 |
| 19 | Metareasoning for multi-agent epistemic logics | 3 |
| 20 | 13 |
About Konstantine Arkoudas
Konstantine Arkoudas is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Networks and Communications, having authored 32 papers that have together received 279 indexed citations. Recurring topics across this work include Logic, Reasoning, and Knowledge (13 papers), Topic Modeling (9 papers) and Semantic Web and Ontologies (9 papers). The work is most often cited by research in Safety Research (74 citations), Artificial Intelligence (179 citations) and Health Informatics (6 citations). Konstantine Arkoudas has collaborated with scholars based in United States and Sweden. Frequent co-authors include Selmer Bringsjord, Paul Bello, Ritu Chadha, Martin Rinard, David R. Musser, Alexandru Sălcianu, Wael Hamza, Claire Cardie, Mohamed Yahya and Sarfraz Khurshid. Their work appears in journals such as Artificial Intelligence, Theoretical Computer Science and IEEE Intelligent Systems.
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.