Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Countries citing papers authored by Abraham Kandel
Since
Specialization
Citations
This map shows the geographic impact of Abraham Kandel'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 Abraham Kandel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abraham Kandel more than expected).
This network shows the impact of papers produced by Abraham Kandel. 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 Abraham Kandel. The network helps show where Abraham Kandel may publish in the future.
Co-authorship network of co-authors of Abraham Kandel
This figure shows the co-authorship network connecting the top 25 collaborators of Abraham Kandel.
A scholar is included among the top collaborators of Abraham Kandel 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 Abraham Kandel. Abraham Kandel 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
1.
Kandel, Abraham, et al.. (2009). Fuzzy approaches to driven Kalman filtering for small robot localization. 1–6.5 indexed citations
2.
Kandel, Abraham & Horst Bunke. (2007). Applied Graph Theory in Computer Vision and Pattern Recognition (Studies in Computational Intelligence). Springer eBooks.9 indexed citations
3.
Kandel, Abraham. (2005). Fighting Terror in Cyberspace (Series in Machine Perception & Artifical Intelligence) (Series in Machine Perception & Artifical Intelligence).
4.
Teodorescu, Horia-Nicolai, et al.. (1999). Complex Membership Grades with an Application to the Design of Adaptive Filters. SHILAP Revista de lepidopterología.3 indexed citations
Teodorescu, Horia-Nicolai, Lakhmi C. Jain, & Abraham Kandel. (1999). Soft computing in human-related sciences. CRC Press, Inc. eBooks.17 indexed citations
Kandel, Abraham, et al.. (1993). Expectations In Fuzzy Environments. 3(1). 76–89.1 indexed citations
12.
Kandel, Abraham, M. Schneider, & Gideon Langholz. (1992). The use of fuzzy logic for the management of uncertainty in intelligent hybrid systems. John Wiley & Sons, Inc. eBooks. 569–587.2 indexed citations
13.
Kandel, Abraham, et al.. (1989). Knowledge Represen1ation in Automatic COBOL Programmer.. Software Engineering and Knowledge Engineering. 38–41.
14.
Schneider, M. & Abraham Kandel. (1988). Cooperative fuzzy expert systems : their design and applications in intelligent recognition.3 indexed citations
15.
Hall, Lawrence & Abraham Kandel. (1986). Designing fuzzy expert systems.18 indexed citations
16.
Mott, Joe L., Abraham Kandel, & T. P. Baker. (1983). Discrete mathematics for computer scientists.12 indexed citations
17.
Kandel, Abraham. (1980). On the theory of fuzzy logics. IEEE Transactions on Automatic Control. 17(17). 92.1 indexed citations
18.
Kandel, Abraham & Sam Lee. (1979). Fuzzy switching and automata: theory and applications. CERN Document Server (European Organization for Nuclear Research).110 indexed citations
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.