Hans Hermann Bock

674 total citations
9 papers, 369 citations indexed

About

Hans Hermann Bock is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Hans Hermann Bock has authored 9 papers receiving a total of 369 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 1 paper in Computer Vision and Pattern Recognition and 1 paper in Signal Processing. Recurrent topics in Hans Hermann Bock's work include Neural Networks and Applications (2 papers), Sensory Analysis and Statistical Methods (1 paper) and Time Series Analysis and Forecasting (1 paper). Hans Hermann Bock is often cited by papers focused on Neural Networks and Applications (2 papers), Sensory Analysis and Statistical Methods (1 paper) and Time Series Analysis and Forecasting (1 paper). Hans Hermann Bock collaborates with scholars based in Germany and Italy. Hans Hermann Bock's co-authors include Edwin Diday, Maurizio Vichi and Peter Ihm and has published in prestigious journals such as Computational Statistics & Data Analysis, International Statistical Review and OR Spectrum.

In The Last Decade

Hans Hermann Bock

9 papers receiving 338 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hans Hermann Bock Germany	6	227	89	73	62	47	9	369
Chris Coray United States	4	228 1.0×	45 0.5×	66 0.9×	47 0.8×	27 0.6×	7	382
Manabu Ichino Japan	7	194 0.9×	39 0.4×	84 1.2×	62 1.0×	50 1.1×	24	353
Rosanna Verde Italy	11	213 0.9×	68 0.8×	70 1.0×	51 0.8×	34 0.7×	30	383
Petri Kontkanen Finland	12	318 1.4×	71 0.8×	81 1.1×	28 0.5×	31 0.7×	32	462
Patrice Bertrand France	8	126 0.6×	28 0.3×	77 1.1×	112 1.8×	47 1.0×	16	322
W. Michael Conklin United States	11	49 0.2×	178 2.0×	19 0.3×	41 0.7×	19 0.4×	19	395
Michael Soltys United States	10	90 0.4×	44 0.5×	32 0.4×	100 1.6×	61 1.3×	31	334
Jochen Heinsohn Germany	5	177 0.8×	24 0.3×	34 0.5×	43 0.7×	39 0.8×	9	238
Humberto Bustince Sola Spain	8	304 1.3×	232 2.6×	25 0.3×	199 3.2×	27 0.6×	18	631
Martin Bilodeau Canada	9	78 0.3×	239 2.7×	22 0.3×	6 0.1×	19 0.4×	26	441

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

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9 of 9 papers shown

Bock, Hans Hermann & Maurizio Vichi. (2007). Statistical Learning Methods Including Dimensionality Reduction. Computational Statistics & Data Analysis. 52(1). 370–373. 3 indexed citations

Bock, Hans Hermann & Edwin Diday. (2000). Analysis of Symbolic Data: Exploratory Methods for Extracting Statistical Information from Complex Data. Medical Entomology and Zoology. 312 indexed citations

Vichi, Maurizio, et al.. (1998). Advances in data science and classification : proceedings of the 6th Conference of the International Federation of Classification Societies (IFCS-98), Università "La Sapienza", Rome, 21-24 July, 1998. Springer eBooks. 9 indexed citations

Bock, Hans Hermann, et al.. (1991). Classification, data analysis, and knowledge organization models and methods with applications : proceedings of the 14th Annual Conference of the Gesellschaft für Klassifikation e.V., University of Marburg, March 12-14, 1990. Medical Entomology and Zoology. 1 indexed citations

Bock, Hans Hermann. (1988). Classification and related methods of data analysis : proceedings of the First Conference of the International Federation of Classification Societies (IFCS), Technical University of Aachen, F.R.G., 29 June - 1 July, 1987. Elsevier eBooks. 8 indexed citations

Bock, Hans Hermann. (1980). Clusteranalyse — Überblick und neuere Entwicklungen. OR Spectrum. 1(4). 211–232. 5 indexed citations

Bock, Hans Hermann, et al.. (1975). Automatische Klassifikation. Theoretische und praktische Methoden zur Gruppierung und Strukturierung von Daten (Cluster-Analyse). International Statistical Review. 43(2). 242–242. 15 indexed citations

Bock, Hans Hermann. (1974). Automatische Klassifikation. Theoretische und praktische Methoden zur Gruppierung und Strukturierung von Daten. 9 indexed citations

Bock, Hans Hermann. (1972). Statistische Modelle und Bayessche Verfahren zur Bestimmung einer unbekannten Klassifikation normalverteilter zufälliger Vektoren. Metrika. 18(1). 120–132. 7 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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