Andrzej Cichocki
- Artificial Intelligence top 10%
- Computer Networks and Communications top 5%
- Information Systems top 5%
- Signal Processing top 10%
- Management Information Systems
- Co-authors
- Marek RusinkiewiczJ FowlerMd. Mamunur RashidAyah HelalV. KashyapM. NodineRoberto J. BayardoC. Unnikrishnan
- Topics
- Advanced Database Systems and Queries (3 papers)Distributed systems and fault tolerance (2 papers)Distributed and Parallel Computing Systems (2 papers)
- Journals
- Distributed and Parallel DatabasesInternational Journal of Cooperative Information SystemsOpto-Electronics Review
- Partner nations
- United StatesPolandCanada
In The Last Decade
Andrzej Cichocki
4 papers receiving 221 citations
Peers
Comparison fields: 5 of 33
- Artificial Intelligence 198
- Computer Networks and Communications 181
- Information Systems 132
- Signal Processing 54
- Management Information Systems 33
Countries citing papers authored by Andrzej Cichocki
This map shows the geographic impact of Andrzej Cichocki'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 Andrzej Cichocki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrzej Cichocki more than expected).
Fields of papers citing papers by Andrzej Cichocki
This network shows the impact of papers produced by Andrzej Cichocki. 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 Andrzej Cichocki. The network helps show where Andrzej Cichocki may publish in the future.
Co-authorship network of co-authors of Andrzej Cichocki
This figure shows the co-authorship network connecting the top 25 collaborators of Andrzej Cichocki. A scholar is included among the top collaborators of Andrzej Cichocki 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 Andrzej Cichocki. Andrzej Cichocki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 250 | |
| 3 | 7 | |
| 4 | A Database Environment for Workflow Specification and Execution. | 0 |
| 5 | 8 | |
| 6 | 15 |
About Andrzej Cichocki
Andrzej Cichocki is a scholar working on Computer Networks and Communications, Information Systems and Management and Media Technology, having authored 6 papers that have together received 280 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (3 papers), Distributed systems and fault tolerance (2 papers) and Distributed and Parallel Computing Systems (2 papers). The work is most often cited by research in Computer Networks and Communications (181 citations), Artificial Intelligence (198 citations) and Information Systems (132 citations). Andrzej Cichocki has collaborated with scholars based in United States, Poland and Canada. Frequent co-authors include Marek Rusinkiewicz, J Fowler, Md. Mamunur Rashid, Ayah Helal, V. Kashyap, M. Nodine, Roberto J. Bayardo, C. Unnikrishnan, A. Unruh and Darrell Woelk. Their work appears in journals such as Distributed and Parallel Databases, International Journal of Cooperative Information Systems and Opto-Electronics Review.
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.