Krys J. Kochut
- Information Systems top 0.5%
- Artificial Intelligence top 2%
- Computer Networks and Communications top 2%
- Management Information Systems top 1%
- Molecular Biology
- Co-authors
- Amit ShethJohn A. MillerJorge CardosoJonathan ArnoldMehdi AllahyariNatarajan KannanZongwei LuoMaciej Janik
- Topics
- Semantic Web and Ontologies (17 papers)Business Process Modeling and Analysis (14 papers)Service-Oriented Architecture and Web Services (11 papers)
- Partner nations
- United StatesChinaItaly
In The Last Decade
Krys J. Kochut
49 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 106
- Information Systems 881
- Artificial Intelligence 666
- Computer Networks and Communications 510
- Management Information Systems 495
- Molecular Biology 225
Countries citing papers authored by Krys J. Kochut
This map shows the geographic impact of Krys J. Kochut'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 Krys J. Kochut with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Krys J. Kochut more than expected).
Fields of papers citing papers by Krys J. Kochut
This network shows the impact of papers produced by Krys J. Kochut. 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 Krys J. Kochut. The network helps show where Krys J. Kochut may publish in the future.
Co-authorship network of co-authors of Krys J. Kochut
This figure shows the co-authorship network connecting the top 25 collaborators of Krys J. Kochut. A scholar is included among the top collaborators of Krys J. Kochut 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 Krys J. Kochut. Krys J. Kochut is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 2 | |
| 3 | 4 | |
| 4 | 10 | |
| 5 | 24 | |
| 6 | 1 | |
| 7 | 5 | |
| 8 | Perspectives in Modeling: Simulation, Database, and Workflow | 0 |
| 9 | 29 | |
| 10 | 9 | |
| 11 | 39 | |
| 12 | An Ontology-Aided Process Constraint Modeling Framework for Workflow Systems | 1 |
| 13 | 28 | |
| 14 | Towards Efficient Integration of Complex Web Services Using a Unified Model for Protocol and Process. | 1 |
| 15 | 9 | |
| 16 | 77 | |
| 17 | 47 | |
| 18 | Supporting State-Wide Immunisation Tracking Using Multi-Paradigm Workflow Technology | 26 |
| 19 | 16 | |
| 20 | 12 |
About Krys J. Kochut
Krys J. Kochut is a scholar working on Management Information Systems, Artificial Intelligence and Information Systems, having authored 51 papers that have together received 1.5k indexed citations. Recurring topics across this work include Semantic Web and Ontologies (17 papers), Business Process Modeling and Analysis (14 papers) and Service-Oriented Architecture and Web Services (11 papers). The work is most often cited by research in Management Information Systems (495 citations), Information Systems (881 citations) and Computer Networks and Communications (510 citations). Krys J. Kochut has collaborated with scholars based in United States, China and Italy. Frequent co-authors include Amit Sheth, John A. Miller, Jorge Cardoso, Jonathan Arnold, Mehdi Allahyari, Natarajan Kannan, Zongwei Luo, Maciej Janik, Kemafor Anyanwu and Walter D. Potter. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Genetics.
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.