Kenneth A. Kaufman

1.3k citations
45 papers · 446 indexed · h-index 10
Topics
Data Mining Algorithms and Applications (10 papers)Evolutionary Algorithms and Applications (8 papers)Neural Networks and Applications (6 papers)

In The Last Decade

Kenneth A. Kaufman

43 papers receiving 345 citations

Peers

Kenneth A. Kaufman
Comparison fields: 5 of 72
  • Artificial Intelligence 248
  • Information Systems 180
  • Computational Theory and Mathematics 123
  • Signal Processing 87
  • Computer Networks and Communications 67
Replace Ignacio J. Blanco with:
Ignacio J. Blanco Spain
Eric Bloedorn United States
Enn Tyugu Estonia
Rong Peng China
Ian Bayley United Kingdom
Jianchao Han United States
Zongtian Liu China
Aravind Cheruvu Jordan
Sandra Heiler United States
Éric van der Vlist France
Kenneth A. Kaufman relative to Ignacio J. Blanco Spain Ignacio J. Blanco's profile →
Citations per field
00.5×1.5×
Ignacio J. Blanco · 1×
Citations per year

Countries citing papers authored by Kenneth A. Kaufman

Since Specialization
Citations

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

Fields of papers citing papers by Kenneth A. Kaufman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kenneth A. Kaufman. 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 Kenneth A. Kaufman. The network helps show where Kenneth A. Kaufman may publish in the future.

Co-authorship network of co-authors of Kenneth A. Kaufman

This figure shows the co-authorship network connecting the top 25 collaborators of Kenneth A. Kaufman. A scholar is included among the top collaborators of Kenneth A. Kaufman 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 Kenneth A. Kaufman. Kenneth A. Kaufman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 17
2 1
3 2
4 2
5 17
6 3
7 9
8 7
9 6
10 3
11 5
12
INLEN: a methodology and integrated system for knowledge discovery in databases
7
13 40
14
A method for reasoning with structured and continuous attributes in the INLEN-2 multistrategy knowledge discovery system
12
15
Knowledge discovery from multiple databases
31
16
Comparing international development patterns using multi-operator learning and discovery tools
6
17 52
18 5
19 4
20 1

About Kenneth A. Kaufman

Kenneth A. Kaufman is a scholar working on Artificial Intelligence, Information Systems and Computational Theory and Mathematics, having authored 45 papers that have together received 446 indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (10 papers), Evolutionary Algorithms and Applications (8 papers) and Neural Networks and Applications (6 papers). The work is most often cited by research in Signal Processing (87 citations), Information Systems (180 citations) and Artificial Intelligence (248 citations). Kenneth A. Kaufman has collaborated with scholars based in United States, Poland and United Kingdom. Frequent co-authors include Ryszard S. Michalski, Larry Kerschberg, Janusz Wojtusiak, Piotr A. Domanski, David A. Yashar, Janusz Wnek, Eric Bloedorn, Guido Cervone, Liviu Panait and Alan C. Schultz. Their work appears in journals such as International Journal of Intelligent Systems, Journal of Intelligent Information Systems and Fundamenta Informaticae.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026