Steven Eker

3.2k citations
30 papers · 1.3k · h-index 15

Impact in

Papers in

Steven Eker

29 papers receiving 1.2k citations

Peers

Steven Eker
Comparison fields: 5 of 57
  • Software 312
  • Computational Theory and Mathematics 673
  • Artificial Intelligence 876
  • Hardware and Architecture 113
  • Information Systems 290
Replace Narciso Martı́-Oliet with:
Narciso Martı́-Oliet Spain
Francisco Durán Spain
Андрей Воронков United Kingdom
Pierpaolo Degano Italy
Luca Aceto Iceland
Radu Mateescu France
Marco Bernardo Italy
Gérard Boudol France
Jeremy Gibbons United Kingdom
Annegret Habel Germany
Steven Eker relative to Narciso Martı́-Oliet Spain Narciso Martı́-Oliet's profile →
Citations per field
00.5×1.5×
Narciso Martı́-Oliet · 1×
Citations per year

Countries citing papers authored by Steven Eker

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 25 scholars most cited alongside Steven Eker, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Steven Eker Line = papers co-authored together Steven Eker links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002389
2 2007304
3 1996129
4 2004126
5 200165
6 200436
7 200733
8 199825
9 200324
10 200024
11 200421
12 199820
13 199516
14 199816
15 199615
16
Iteration Learning by Demonstration.
20097
17 20066
18
Using Maude
20005
19 20134
20
Improving the efficiency of AC matching and unification
19934

About Steven Eker

Steven Eker is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Molecular Biology, Information Systems and Software, having authored 30 papers that have together received 1.3k indexed citations. Recurring topics across this work include Logic, programming, and type systems (17 papers), Formal Methods in Verification (14 papers), Logic, Reasoning, and Knowledge (6 papers), Model-Driven Software Engineering Techniques (4 papers), Service-Oriented Architecture and Web Services (3 papers), Semantic Web and Ontologies (3 papers), Biomedical Text Mining and Ontologies (3 papers) and Gene Regulatory Network Analysis (3 papers). The work is most often cited by research in Software (312 citations), Computational Theory and Mathematics (673 citations), Artificial Intelligence (876 citations), Hardware and Architecture (113 citations) and Information Systems (290 citations). Steven Eker has collaborated with scholars based in United States, Spain and Netherlands. Frequent co-authors include José Meseguer, Manuel Clavel, Patrick Lincoln, Narciso Martı́-Oliet, Francisco Durán, José F. Quesada, Carolyn Talcott, Per Lincoln, Merrill Knapp and Keith R. Laderoute. Their work appears in journals such as Journal of Logical and Algebraic Methods in Programming, Electronic Notes in Theoretical Computer Science, Theoretical Computer Science, BMC Bioinformatics and Journal of Automated Reasoning.

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.

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