Peter Sussner

2.8k total citations
80 papers, 1.6k citations indexed

About

Peter Sussner is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Management Science and Operations Research. According to data from OpenAlex, Peter Sussner has authored 80 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Artificial Intelligence, 27 papers in Computational Theory and Mathematics and 22 papers in Management Science and Operations Research. Recurrent topics in Peter Sussner's work include Neural Networks and Applications (46 papers), Fuzzy Logic and Control Systems (34 papers) and Rough Sets and Fuzzy Logic (22 papers). Peter Sussner is often cited by papers focused on Neural Networks and Applications (46 papers), Fuzzy Logic and Control Systems (34 papers) and Rough Sets and Fuzzy Logic (22 papers). Peter Sussner collaborates with scholars based in Brazil, United States and Belgium. Peter Sussner's co-authors include Gerhard X. Ritter, Marcos Eduardo Valle, Estevão Esmi, Jerry M. Mendel, Mohammad Reza Rajati, Mike Nachtegael, Laécio Carvalho de Barros, Etienne E. Kerre, Manuel Graña and Humberto Bustince and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Image Processing.

In The Last Decade

Peter Sussner

77 papers receiving 1.6k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Peter Sussner Brazil 22 1.1k 421 412 328 234 80 1.6k
Martin Anthony United Kingdom 18 1.6k 1.5× 504 1.2× 359 0.9× 157 0.5× 186 0.8× 76 2.2k
Lorenzo Livi Italy 20 813 0.8× 305 0.7× 266 0.6× 103 0.3× 197 0.8× 70 1.4k
Karthik Sridharan United States 19 1.3k 1.2× 609 1.4× 95 0.2× 388 1.2× 77 0.3× 47 1.8k
Athanasios Kehagias Greece 23 649 0.6× 214 0.5× 163 0.4× 192 0.6× 126 0.5× 72 1.3k
Frank Chung-Hoon Rhee South Korea 15 703 0.7× 239 0.6× 175 0.4× 187 0.6× 40 0.2× 41 1.0k
Marie-Hélène Masson France 17 786 0.7× 267 0.6× 262 0.6× 309 0.9× 21 0.1× 41 1.2k
Lin Xiao United States 19 1.3k 1.2× 247 0.6× 180 0.4× 359 1.1× 121 0.5× 52 1.9k
Christopher J. Merz United States 7 1.6k 1.5× 496 1.2× 310 0.8× 79 0.2× 45 0.2× 10 1.9k
Edward Snelson United Kingdom 7 878 0.8× 165 0.4× 258 0.6× 106 0.3× 61 0.3× 10 1.3k

Countries citing papers authored by Peter Sussner

Since Specialization
Citations

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

Fields of papers citing papers by Peter Sussner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter Sussner. 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 Peter Sussner. The network helps show where Peter Sussner may publish in the future.

Co-authorship network of co-authors of Peter Sussner

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Sussner. A scholar is included among the top collaborators of Peter Sussner 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 Peter Sussner. Peter Sussner 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.
Sussner, Peter, et al.. (2024). Construction of K-orders including admissible ones on classes of discrete intervals. Fuzzy Sets and Systems. 480. 108857–108857.
2.
Esmi, Estevão, et al.. (2020). The generalized fuzzy derivative is interactive. Information Sciences. 519. 93–109. 18 indexed citations
3.
Esmi, Estevão, et al.. (2019). Fuzzy Initial Value Problems for Fuzzy Hypocycloid Curves. 8. 1–5. 2 indexed citations
4.
Sussner, Peter, et al.. (2019). Extreme learning machine for a new hybrid morphological/linear perceptron. Neural Networks. 123. 288–298. 22 indexed citations
5.
Esmi, Estevão, et al.. (2017). A parametrized sum of fuzzy numbers with applications to fuzzy initial value problems. Fuzzy Sets and Systems. 331. 85–104. 20 indexed citations
6.
Esmi, Estevão, et al.. (2015). A Family of Joint Possibility Distributions for Adding Interactive Fuzzy Numbers Inspired by Biomathematical Models. Advances in intelligent systems research. 89. 7 indexed citations
7.
Valle, Marcos Eduardo & Peter Sussner. (2013). Quantale-based autoassociative memories with an application to the storage of color images. Pattern Recognition Letters. 34(14). 1589–1601. 15 indexed citations
8.
Valle, Marcos Eduardo & Peter Sussner. (2010). Storage and recall capabilities of fuzzy morphological associative memories with adjunction-based learning. Neural Networks. 24(1). 75–90. 32 indexed citations
9.
Nachtegael, Mike, et al.. (2010). On the Decomposition of Interval-Valued Fuzzy Morphological Operators. Journal of Mathematical Imaging and Vision. 36(3). 270–290. 6 indexed citations
10.
Esmi, Estevão & Peter Sussner. (2010). A fuzzy associative memory based on Kosko's subsethood measure. 1–8. 2 indexed citations
11.
Sussner, Peter, et al.. (2009). An Introduction to Parameterized IFAM Models with Applications in Prediction. European Society for Fuzzy Logic and Technology Conference. 1757–1762. 11 indexed citations
12.
Sussner, Peter, et al.. (2009). Modelling Numerical and Spatial Uncertainty in GrayscaleImage Capture Using Fuzzy Set Theory. Journal of Advanced Computational Intelligence and Intelligent Informatics. 13(5). 529–536. 5 indexed citations
13.
Nachtegael, Mike, et al.. (2008). Some Aspects of Interval-Valued and Intuitionistic Fuzzy Mathematical Morphology.. IPCV. 538–543. 11 indexed citations
14.
Valle, Marcos Eduardo & Peter Sussner. (2008). Fuzzy morphological associative memories based on uninorms. 90. 1582–1589. 2 indexed citations
15.
Sussner, Peter & Marcos Eduardo Valle. (2006). Gray-scale morphological associative memories. IEEE Transactions on Neural Networks. 17(3). 559–570. 72 indexed citations
16.
Graña, Manuel, Peter Sussner, & Gerhard X. Ritter. (2004). Associative morphological memories for endmember determination in spectral unmixing. 2. 1285–1290. 20 indexed citations
17.
Sussner, Peter. (2003). Associative morphological memories based on variations of the kernel and dual kernel methods. Neural Networks. 16(5-6). 625–632. 25 indexed citations
18.
Sussner, Peter. (1998). Kernels for Morphological Associative Memories.. Natural Computing. 79–85. 4 indexed citations
19.
Ritter, Gerhard X., et al.. (1998). Morphological associative memories. IEEE Transactions on Neural Networks. 9(2). 281–293. 193 indexed citations
20.
Ritter, Gerhard X. & Peter Sussner. (1996). An introduction to morphological neural networks. 709–717 vol.4. 119 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.

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