Steven Eker
About
In The Last Decade
Steven Eker
29 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 58
- Artificial Intelligence 874
- Computational Theory and Mathematics 677
- Software 311
- Information Systems 291
- Computer Networks and Communications 285
Countries citing papers authored by Steven Eker
This map shows the geographic impact of Steven Eker'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 Steven Eker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven Eker more than expected).
Fields of papers citing papers by Steven Eker
This network shows the impact of papers produced by Steven Eker. 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 Steven Eker. The network helps show where Steven Eker may publish in the future.
Co-authorship network of co-authors of Steven Eker
This figure shows the co-authorship network connecting the top 25 collaborators of Steven Eker. A scholar is included among the top collaborators of Steven Eker 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 Steven Eker. Steven Eker 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 | 3 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 3 | |
| 7 | Iteration Learning by Demonstration. | 7 |
| 8 | 304 | |
| 9 | 125 | |
| 10 | 36 | |
| 11 | The Maude LTL model checker and its implementation | 0 |
| 12 | 389 | |
| 13 | 2 | |
| 14 | Using Maude | 5 |
| 15 | 25 | |
| 16 | 20 | |
| 17 | 129 | |
| 18 | 16 | |
| 19 | Improving the efficiency of AC matching and unification | 4 |
| 20 | Associative matching for linear terms | 2 |
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.