Fred J. Maryanski
- Computer Networks and Communications top 5%
- Artificial Intelligence top 5%
- Signal Processing top 5%
- Information Systems top 5%
- Management Information Systems top 10%
- Co-authors
- Joan PeckhamSteven A. DemurjianMichael G. ThomasonPaul S. FisherHenry N. ChapmanBonnie MacKellarJacob SlonimEwald Unger
- Topics
- Advanced Database Systems and Queries (20 papers)Distributed systems and fault tolerance (13 papers)Distributed and Parallel Computing Systems (7 papers)
- Partner nations
- United StatesGermany
In The Last Decade
Fred J. Maryanski
33 papers receiving 437 citations
Peers
Comparison fields: 5 of 48
- Computer Networks and Communications 381
- Artificial Intelligence 295
- Signal Processing 159
- Information Systems 154
- Management Information Systems 58
Countries citing papers authored by Fred J. Maryanski
This map shows the geographic impact of Fred J. Maryanski'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 Fred J. Maryanski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fred J. Maryanski more than expected).
Fields of papers citing papers by Fred J. Maryanski
This network shows the impact of papers produced by Fred J. Maryanski. 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 Fred J. Maryanski. The network helps show where Fred J. Maryanski may publish in the future.
Co-authorship network of co-authors of Fred J. Maryanski
This figure shows the co-authorship network connecting the top 25 collaborators of Fred J. Maryanski. A scholar is included among the top collaborators of Fred J. Maryanski 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 Fred J. Maryanski. Fred J. Maryanski 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 | 2 | |
| 3 | Data mining and reverse engineering : searching for semantics : IFIP TC2 WG2.6 IFIP Seventh Conference on Database Semantics (DS-7), 7-10 October 1997, Leysin, Switzerland | 1 |
| 4 | 6 | |
| 5 | 1 | |
| 6 | 7 | |
| 7 | 0 | |
| 8 | Automatic generation of conceptual database design tools from data model specifications | 2 |
| 9 | Extensible Semantic Automata for Modular Design Systems. | 1 |
| 10 | Retrieval by similarity in a knowledge base of reusable code | 0 |
| 11 | A simulation language for distributed databases | 2 |
| 12 | 3 | |
| 13 | 4 | |
| 14 | 1 | |
| 15 | Digital computer simulation | 9 |
| 16 | 2 | |
| 17 | 7 | |
| 18 | 2 | |
| 19 | 1 | |
| 20 | Usability and Feasibility of Back-End Minicomputers. | 0 |
About Fred J. Maryanski
Fred J. Maryanski is a scholar working on Computer Networks and Communications, Information Systems and Signal Processing, having authored 44 papers that have together received 519 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (20 papers), Distributed systems and fault tolerance (13 papers) and Distributed and Parallel Computing Systems (7 papers). The work is most often cited by research in Computer Networks and Communications (381 citations), Signal Processing (159 citations) and Artificial Intelligence (295 citations). Fred J. Maryanski has collaborated with scholars based in United States and Germany. Frequent co-authors include Joan Peckham, Steven A. Demurjian, Michael G. Thomason, Paul S. Fisher, Henry N. Chapman, Bonnie MacKellar, Jacob Slonim, Ewald Unger, Stefano Spaccapietra and Heidi J. C. Ellis. Their work appears in journals such as Proceedings of the IEEE, ACM Computing Surveys and Information Sciences.
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.