Jan C. Bioch

581 total citations
18 papers, 333 citations indexed

About

Jan C. Bioch is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Networks and Communications. According to data from OpenAlex, Jan C. Bioch has authored 18 papers receiving a total of 333 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 8 papers in Computational Theory and Mathematics and 3 papers in Computer Networks and Communications. Recurrent topics in Jan C. Bioch's work include Neural Networks and Applications (4 papers), Machine Learning and Algorithms (3 papers) and Rough Sets and Fuzzy Logic (3 papers). Jan C. Bioch is often cited by papers focused on Neural Networks and Applications (4 papers), Machine Learning and Algorithms (3 papers) and Rough Sets and Fuzzy Logic (3 papers). Jan C. Bioch collaborates with scholars based in Netherlands, Japan and Belgium. Jan C. Bioch's co-authors include Rob Potharst, Toshihide Ibaraki, John Hooker, Alasdair Urquhart, John Franco, Martin Anthony, Claude Carlet, Robert H. Sloan, Jehoshua Bruck and Charles J. Colbourn and has published in prestigious journals such as IEEE Transactions on Parallel and Distributed Systems, Discrete Applied Mathematics and Discrete Mathematics.

In The Last Decade

Jan C. Bioch

15 papers receiving 299 citations

Peers

Countries citing papers authored by Jan C. Bioch

Since Specialization

Citations

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

Fields of papers citing papers by Jan C. Bioch

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan C. Bioch

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

All Works

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18 of 18 papers shown

#	Work	Indexed citations
1	Boolean Models and Methods in Mathematics, Computer Science, and Engineering 2010 ·Cambridge University Press eBooks ·Yves Crama, Reinhard Pöschel, Jan C. Bioch, Alasdair Urquhart, John Franco, John Hooker, Martin Anthony, Robert H. Sloan, Claude Carlet, Beate Bollig, Matthias Krause, Jehoshua Bruck, (unknown), Tiziano Villa, Charles J. Colbourn	65
2	The complexity of modular decomposition of Boolean functions 2005 ·Discrete Applied Mathematics ·Jan C. Bioch	20
3	Neural Networks: New Tools For Data Analysis ? 2005 ·Jan C. Bioch, Willem Verbeke, (unknown)	0
4	Induction of Ordinal Decision Trees: An MCDA Approach 2003 ·Data Archiving and Networked Services (DANS) ·Jan C. Bioch, Viara Popova	2
5	On the mapping of linear classification trees onto one-hidden-layer neural nets 2002 ·Jan C. Bioch, (unknown), Rob Potharst	0
6	Classification using Bayesian neural nets 2002 ·Proceedings of International Conference on Neural Networks (ICNN'96) ·Jan C. Bioch, (unknown), Rob Potharst	10
7	Mining Frequent Intemsets in Memory-Resident Databases 2000 ·RePub (Erasmus University Rotterdam) ·Wim Pijls, Jan C. Bioch	6
8	Decision trees for ordinal classification 2000 ·Intelligent Data Analysis ·Rob Potharst, Jan C. Bioch	49
9	Minimum self-dual decompositions of positive dual-minor Boolean functions 1999 ·Discrete Applied Mathematics ·Jan C. Bioch, Toshihide Ibaraki, Kazuhisa Makino	9
10	Dualization, decision lists and identification of monotone discrete functions 1998 ·Annals of Mathematics and Artificial Intelligence ·Jan C. Bioch	10
11	Complexity of Identification and Dualization of Positive Boolean Functions 1995 ·Information and Computation ·Jan C. Bioch, (unknown)	90
12	Generating and approximating nondominated coteries 1995 ·IEEE Transactions on Parallel and Distributed Systems ·Jan C. Bioch, Toshihide Ibaraki	14
13	Modeling Deontic States in Petri Nets 1995 ·Data Archiving and Networked Services (DANS) ·Jean-François Raskin, Yao‐Hua Tan, Leendert van der Torre, Jan C. Bioch	6
14	Decompositions of positive self-dual boolean functions 1995 ·Discrete Mathematics ·Jan C. Bioch, Toshihide Ibaraki	12
15	Validating specifications of dynamic systems using automated reasoning techniques 1995 ·University of Twente Research Information ·(unknown), Jan C. Bioch, Roelf J. Wieringa, (unknown)	2
16	Machine Learning and knowledge acquisition 1994 ·UvA-DARE (University of Amsterdam) ·(unknown), Shan-Hwei Nienhuys-Cheng, Jan C. Bioch	0
17	A neural network for solving the travelling salesman problem on the basis of city adjacency in the tour 1990 ·(unknown), (unknown), Jan C. Bioch	14
18	On n-isoclinic Groups 1976 ·Indagationes Mathematicae (Proceedings) ·Jan C. Bioch	24

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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