C. Bayan Bruss

501 total citations
4 papers, 39 citations indexed

About

C. Bayan Bruss is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics. According to data from OpenAlex, C. Bayan Bruss has authored 4 papers receiving a total of 39 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Statistical and Nonlinear Physics. Recurrent topics in C. Bayan Bruss's work include Fuzzy Logic and Control Systems (2 papers), Neural Networks and Applications (2 papers) and Geophysics and Gravity Measurements (1 paper). C. Bayan Bruss is often cited by papers focused on Fuzzy Logic and Control Systems (2 papers), Neural Networks and Applications (2 papers) and Geophysics and Gravity Measurements (1 paper). C. Bayan Bruss collaborates with scholars based in United States. C. Bayan Bruss's co-authors include Roshanak Nateghi, Udo Seiffert, Benjamin F. Zaitchik, Thomas Villmann, Frank-Michael Schleif, Marc Strickert, Keegan Hines and Winfriede Weschke and has published in prestigious journals such as Frontiers in Environmental Science, The European Symposium on Artificial Neural Networks and PUB – Publications at Bielefeld University (Bielefeld University).

In The Last Decade

C. Bayan Bruss

4 papers receiving 34 citations

Peers

C. Bayan Bruss
C. Bayan Bruss
Citations per year, relative to C. Bayan Bruss C. Bayan Bruss (= 1×) peers Oleksandr Shchur

Countries citing papers authored by C. Bayan Bruss

Since Specialization
Citations

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

Fields of papers citing papers by C. Bayan Bruss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C. Bayan Bruss. 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 C. Bayan Bruss. The network helps show where C. Bayan Bruss may publish in the future.

Co-authorship network of co-authors of C. Bayan Bruss

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

All Works

4 of 4 papers shown
1.
Bruss, C. Bayan, Roshanak Nateghi, & Benjamin F. Zaitchik. (2019). Explaining National Trends in Terrestrial Water Storage. Frontiers in Environmental Science. 7. 8 indexed citations
2.
Hines, Keegan, et al.. (2019). DeepTrax: Embedding Graphs of Financial Transactions. 126–133. 17 indexed citations
3.
Villmann, Thomas, Marc Strickert, C. Bayan Bruss, Frank-Michael Schleif, & Udo Seiffert. (2007). Visualization of Fuzzy Information in Fuzzy-Classification for Image Segmentation using MDS. The European Symposium on Artificial Neural Networks. 103–108. 8 indexed citations
4.
Bruss, C. Bayan, et al.. (2006). Fuzzy Image Segmentation with Fuzzy Labelled Neural Gas. PUB – Publications at Bielefeld University (Bielefeld University). 563–568. 6 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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2026