Hans‐Hermann Bock

2.1k total citations
26 papers, 798 citations indexed

About

Hans‐Hermann Bock is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Economics and Econometrics. According to data from OpenAlex, Hans‐Hermann Bock has authored 26 papers receiving a total of 798 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 4 papers in Economics and Econometrics. Recurrent topics in Hans‐Hermann Bock's work include Bayesian Methods and Mixture Models (3 papers), Game Theory and Voting Systems (3 papers) and Face and Expression Recognition (3 papers). Hans‐Hermann Bock is often cited by papers focused on Bayesian Methods and Mixture Models (3 papers), Game Theory and Voting Systems (3 papers) and Face and Expression Recognition (3 papers). Hans‐Hermann Bock collaborates with scholars based in Germany, United States and Italy. Hans‐Hermann Bock's co-authors include Edwin Diday, Iven Van Mechelen, Paul De Boeck, Paula Brito, Francisco de A.T. de Carvalho, Maurizio Vichi, Wolfgang Polasek, Yutaka TANAKA, Chikio Hayashi and Yasumasa Baba and has published in prestigious journals such as SHILAP Revista de lepidopterología, Statistics in Medicine and Mathematical and Computer Modelling.

In The Last Decade

Hans‐Hermann Bock

25 papers receiving 759 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hans‐Hermann Bock Germany 10 406 148 136 131 117 26 798
Yves Lechevallier France 12 444 1.1× 172 1.2× 124 0.9× 98 0.7× 160 1.4× 43 736
Purnamrita Sarkar United States 15 536 1.3× 94 0.6× 134 1.0× 158 1.2× 50 0.4× 35 1.1k
Paula Brito Portugal 14 327 0.8× 130 0.9× 43 0.3× 170 1.3× 111 0.9× 40 775
Mohamed Nadif France 20 903 2.2× 181 1.2× 329 2.4× 81 0.6× 67 0.6× 84 1.3k
Michael Brückner Thailand 9 549 1.4× 127 0.9× 119 0.9× 37 0.3× 26 0.2× 24 843
Alfonso Gordaliza Spain 15 630 1.6× 124 0.8× 152 1.1× 522 4.0× 36 0.3× 41 1.1k
Christian Posse United States 17 255 0.6× 56 0.4× 135 1.0× 91 0.7× 40 0.3× 39 792
Sreerama K. Murthy United States 6 690 1.7× 100 0.7× 138 1.0× 42 0.3× 201 1.7× 9 1.2k
Carlos Matrán Spain 19 453 1.1× 65 0.4× 118 0.9× 621 4.7× 56 0.5× 55 1.2k
John Stutz United States 8 539 1.3× 204 1.4× 116 0.9× 39 0.3× 95 0.8× 16 922

Countries citing papers authored by Hans‐Hermann Bock

Since Specialization
Citations

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

Fields of papers citing papers by Hans‐Hermann Bock

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hans‐Hermann Bock. 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 Hans‐Hermann Bock. The network helps show where Hans‐Hermann Bock may publish in the future.

Co-authorship network of co-authors of Hans‐Hermann Bock

This figure shows the co-authorship network connecting the top 25 collaborators of Hans‐Hermann Bock. A scholar is included among the top collaborators of Hans‐Hermann Bock 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 Hans‐Hermann Bock. Hans‐Hermann Bock 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.
Schepers, Jan, Hans‐Hermann Bock, & Iven Van Mechelen. (2017). Maximal Interaction Two-Mode Clustering. Journal of Classification. 34(1). 49–75. 7 indexed citations
2.
Bock, Hans‐Hermann. (2016). Probabilistic Two-way Clustering Approaches with Emphasis on the Maximum Interaction Criterion. Repository KITopen (Karlsruhe Institute of Technology). 1 indexed citations
3.
Bock, Hans‐Hermann. (2011). Special Issue on ‘Time series clustering’. Advances in Data Analysis and Classification. 5(4). 247–249. 3 indexed citations
4.
Bock, Hans‐Hermann. (2008). Origins and extensions of the -means algorithm in cluster analysis.. 4(2). 2 indexed citations
5.
Batagelj, Vladimir, et al.. (2006). Data Science and Classification (Studies in Classification, Data Analysis, and Knowledge Organization). Springer eBooks. 7 indexed citations
6.
Carvalho, Francisco de A.T. de, Paula Brito, & Hans‐Hermann Bock. (2006). Dynamic clustering for interval data based on L 2 distance. Computational Statistics. 21(2). 231–250. 100 indexed citations
7.
Mechelen, Iven Van, Hans‐Hermann Bock, & Paul De Boeck. (2004). Two-mode clustering methods: astructuredoverview. Statistical Methods in Medical Research. 13(5). 363–394. 127 indexed citations
8.
Bock, Hans‐Hermann, et al.. (2004). Advances in Multivariate Data Analysis. CERN Document Server (European Organization for Nuclear Research). 2 indexed citations
9.
Bock, Hans‐Hermann. (2003). 6. Symbolic Data Analysis. 15(2). 217–229. 12 indexed citations
10.
Bock, Hans‐Hermann. (2002). Data mining tasks and methods: Classification: the goal of classification. 254–258. 9 indexed citations
11.
Bock, Hans‐Hermann, W. H. Day, & F.R. McMorris. (2001). A characterization of a family of consensus rules for committee elections. Applied Mathematics Letters. 14(3). 307–311.
12.
Bock, Hans‐Hermann, W. H. Day, Ewa Kubicka, Grzegorz Kubicki, & F.R. McMorris. (1999). Attainable results in committee elections. Mathematical and Computer Modelling. 30(1-2). 75–87. 2 indexed citations
13.
Hayashi, Chikio, et al.. (1998). Data Science, Classification, and Related Methods : Proceedings of the Fifth Conference of the International Federation of Classification Societies (IFCS-96), Kobe, Japan, March 27-30, 1996. 4 indexed citations
14.
Hayashi, Chikio, et al.. (1998). Data Science, Classification, and Related Methods. CERN Document Server (European Organization for Nuclear Research). 98 indexed citations
15.
Vichi, Maurizio, et al.. (1998). Advances in Data Science and Classification. CERN Document Server (European Organization for Nuclear Research). 76 indexed citations
16.
Cramer, Elliot M. & Hans‐Hermann Bock. (1996). Continuous-time markov chains and compound poisson process with circulant intensity matrices. Optimization. 37(4). 385–392. 1 indexed citations
17.
Bock, Hans‐Hermann, et al.. (1994). Information Systems and Data Analysis. CERN Document Server (European Organization for Nuclear Research). 47 indexed citations
18.
Bock, Hans‐Hermann & Peter Ihm. (1991). Classification, Data Analysis, and Knowledge Organization. CERN Document Server (European Organization for Nuclear Research). 17 indexed citations
19.
Davies, P. L. & Hans‐Hermann Bock. (1988). Consistent estimates for finite mixtures of well separated elliptical distributions. Data Archiving and Networked Services (DANS). 195–202. 4 indexed citations
20.
Bock, Hans‐Hermann. (1979). PES + MO–Theorie: Photoelectron Spectroscopy & Molecular Orbital Theory. Von R. E. Ballard. Adam Hilger Ltd., Bristol 1978. IX, 192 S., zahlr. Abb., geb. £ 18.00. Nachrichten aus Chemie Technik und Laboratorium. 27(4). 204–204. 1 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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