Jörg Kindermann

1.2k total citations
11 papers, 645 citations indexed

About

Jörg Kindermann is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Jörg Kindermann has authored 11 papers receiving a total of 645 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 2 papers in Information Systems. Recurrent topics in Jörg Kindermann's work include Video Analysis and Summarization (3 papers), Natural Language Processing Techniques (3 papers) and Neural Networks and Applications (2 papers). Jörg Kindermann is often cited by papers focused on Video Analysis and Summarization (3 papers), Natural Language Processing Techniques (3 papers) and Neural Networks and Applications (2 papers). Jörg Kindermann collaborates with scholars based in Germany, United Kingdom and Australia. Jörg Kindermann's co-authors include Edda Leopold, Gerhard Paaß, Joachim Diederich, Annemie Van der Linden, Werner Dubitzky, T. Nießen, Vlado Stankovski, Martin Swain, Phong H. Nguyen and Olivier Thonnard and has published in prestigious journals such as Machine Learning, Future Generation Computer Systems and IEEE Transactions on Visualization and Computer Graphics.

In The Last Decade

Jörg Kindermann

10 papers receiving 569 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jörg Kindermann Germany	7	515	226	86	47	38	11	645
Dharmveer Singh Rajpoot India	9	343 0.7×	144 0.6×	72 0.8×	48 1.0×	27 0.7×	23	459
Ximing Li China	16	572 1.1×	149 0.7×	123 1.4×	34 0.7×	24 0.6×	81	716
Kusum Kumari Bharti India	9	351 0.7×	98 0.4×	84 1.0×	44 0.9×	21 0.6×	22	469
Xiaofei Zhou China	15	532 1.0×	257 1.1×	156 1.8×	31 0.7×	21 0.6×	44	687
Guanhua Tian China	8	445 0.9×	144 0.6×	55 0.6×	50 1.1×	19 0.5×	15	563
Bhavani Raskutti Australia	10	424 0.8×	111 0.5×	98 1.1×	21 0.4×	38 1.0×	18	517
Shasha Li China	14	473 0.9×	191 0.8×	90 1.0×	21 0.4×	73 1.9×	79	612
Rajiv Khanna United States	8	343 0.7×	76 0.3×	90 1.0×	27 0.6×	18 0.5×	17	485

Countries citing papers authored by Jörg Kindermann

Since Specialization

Citations

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

Fields of papers citing papers by Jörg Kindermann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jörg Kindermann

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

All Works

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11 of 11 papers shown

Leopold, Edda & Jörg Kindermann. (2024). Content Classification of Multimedia Documents using Partitions of Low-Level Features. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 3(6).

Chen, Siming, Natalia Andrienko, Gennady Andrienko, et al.. (2019). LDA Ensembles for Interactive Exploration and Categorization of Behaviors. IEEE Transactions on Visualization and Computer Graphics. 26(9). 2775–2792. 19 indexed citations

Stankovski, Vlado, et al.. (2007). Grid-enabling data mining applications with DataMiningGrid: An architectural perspective. Future Generation Computer Systems. 24(4). 259–279. 46 indexed citations

Paaß, Gerhard, Jörg Kindermann, & Edda Leopold. (2004). Learning Prototype Ontologies by Hierachical Latent Semantic Analysis.. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 193–205. 7 indexed citations

Leopold, Edda, et al.. (2004). Revealing the connoted visual code: a new approach to video classification. Computers & Graphics. 28(3). 361–369. 2 indexed citations

Diederich, Joachim, Jörg Kindermann, Edda Leopold, & Gerhard Paaß. (2003). Authorship Attribution with Support Vector Machines. Applied Intelligence. 19(1-2). 109–123. 218 indexed citations

Paaß, Gerhard & Jörg Kindermann. (2003). Bayesian regression mixtures of experts for geo-referenced data. Intelligent Data Analysis. 7(6). 567–582. 2 indexed citations

Leopold, Edda & Jörg Kindermann. (2002). Text Categorization with Support Vector Machines. How to Represent Texts in Input Space?. Machine Learning. 46(1-3). 423–444. 279 indexed citations

Larson, Martha, Stefan Eickeler, Gerhard Paaß, Edda Leopold, & Jörg Kindermann. (2002). Exploring sub-word features and linear support vector machines for German spoken document classification. 1989–1992. 4 indexed citations

10.

Paaß, Gerhard & Jörg Kindermann. (1994). Bayesian Query Construction for Neural Network Models. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 7. 443–450. 14 indexed citations

11.

Kindermann, Jörg & Annemie Van der Linden. (1990). Inversion of neural networks by gradient descent. Parallel Computing. 14(3). 277–286. 54 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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