Robert E. Stepp

1.6k citations
29 papers · 1.2k · h-index 11

Impact in

    • Advanced Clustering Algorithms Research
    • AI-based Problem Solving and Planning
    • Machine Learning and Algorithms
    • Logic, Reasoning, and Knowledge
    • Semantic Web and Ontologies
    • Data Mining Algorithms and Applications
    • Data Mining and Machine Learning Applications

Papers in

Robert E. Stepp

24 papers receiving 1.1k citations

Peers

Robert E. Stepp
Comparison fields: 5 of 76
  • Artificial Intelligence 815
  • Information Systems 416
  • Experimental and Cognitive Psychology 96
  • Computational Theory and Mathematics 65
  • Industrial and Manufacturing Engineering 37
Replace Setsuo Ohsuga with:
Setsuo Ohsuga Japan
Feng Tian China
Nicholas V. Findler United States
Timm Euler Germany
Pedro Antonio Gonzalez-Calero Spain
Manish Mehta United States
Christophe Marsala France
Maria Rifqi France
Francesco Bergadano Italy
Xuan Zhu China
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Citations per field
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Citations per year

Countries citing papers authored by Robert E. Stepp

Since Specialization
Citations

This map shows the geographic impact of Robert E. Stepp'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 Robert E. Stepp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert E. Stepp more than expected).

Fields of papers citing papers by Robert E. Stepp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert E. Stepp. 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 Robert E. Stepp. The network helps show where Robert E. Stepp may publish in the future.

Co-authors

The 9 scholars most cited alongside Robert E. Stepp, 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 Robert E. Stepp Line = papers co-authored together Robert E. Stepp links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1983421
2 1983241
3 1986138
4 198196
5 198683
6 198379
7
Conjunctive Conceptual Clustering: A Methodology and Experimentation
198739
8
Concepts in conceptual clustering
198728
9 199025
10 198220
11 198111
12
Conjunctive conceptual clustering: a methodology and experimentation (learning)
198411
13 19879
14 19867
15 19836
16 19916
17
A FEASIBILITY STUDY TO INVESTIGATE THE INSTRUMENTATION, ESTABLISHMENT, AND OPERATION OF A LEARNING LABORATORY FOR HARD-OF-HEARING CHILDREN, FINAL REPORT.
19654
18 19823
19
Media and Early Childhood Education
19692
20 19812

About Robert E. Stepp

Robert E. Stepp is a scholar working on Artificial Intelligence, Developmental and Educational Psychology, Information Systems, Experimental and Cognitive Psychology and Computer Networks and Communications, having authored 29 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Clustering Algorithms Research (12 papers), Data Mining Algorithms and Applications (7 papers), Hearing Impairment and Communication (7 papers), Data Mining and Machine Learning Applications (5 papers), Categorization, perception, and language (3 papers), Machine Learning and Algorithms (2 papers), Innovations in Medical Education (1 paper) and Hearing Loss and Rehabilitation (1 paper). The work is most often cited by research in Artificial Intelligence (815 citations), Information Systems (416 citations), Experimental and Cognitive Psychology (96 citations), Computational Theory and Mathematics (65 citations) and Industrial and Manufacturing Engineering (37 citations). Robert E. Stepp has collaborated with scholars based in United States, Japan and France. Frequent co-authors include Ryszard S. Michalski, Edwin Diday, S.C.-Y. Lu, Stephen C.-Y. Lu, R. Bharat Rao, Gwen Nugent, Jane W. S. Liu, Ronald R. Kelly and Mark H. Klein. Their work appears in journals such as Machine Learning, Artificial Intelligence, IEEE Transactions on Pattern Analysis and Machine Intelligence, Phi Delta Kappan and American annals of the deaf.

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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