A. Topchy

2.5k total citations · 1 hit paper
17 papers, 1.6k citations indexed

About

A. Topchy is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, A. Topchy has authored 17 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 5 papers in Signal Processing and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in A. Topchy's work include Advanced Clustering Algorithms Research (10 papers), Bayesian Methods and Mixture Models (5 papers) and Data Management and Algorithms (5 papers). A. Topchy is often cited by papers focused on Advanced Clustering Algorithms Research (10 papers), Bayesian Methods and Mixture Models (5 papers) and Data Management and Algorithms (5 papers). A. Topchy collaborates with scholars based in United States, Switzerland and Portugal. A. Topchy's co-authors include Anil K. Jain, William F. Punch, M.H.C. Law, Behrouz Minaei‐Bidgoli, Ana Fred, Joachim M. Buhmann, Kim T. Scribner, Kevin S. Page, Mary K. Burnham‐Curtis and Nikola Kasabov and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment and Environmental Biology of Fishes.

In The Last Decade

A. Topchy

17 papers receiving 1.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Clustering ensembles: models of consensus and weak partitions

2005 448 citations A. Topchy, Anil K. Jain et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
A. Topchy United States	14	1.3k	655	349	288	187	17	1.6k
Yuqiang Guan United States	8	1.1k 0.8×	806 1.2×	416 1.2×	198 0.7×	201 1.1×	9	1.8k
M.H.C. Law United States	12	794 0.6×	570 0.9×	86 0.2×	210 0.7×	121 0.6×	13	1.3k
Kaspar Riesen Switzerland	19	747 0.6×	945 1.4×	144 0.4×	232 0.8×	103 0.6×	57	1.3k
E. Backer Netherlands	13	523 0.4×	556 0.8×	106 0.3×	148 0.5×	196 1.0×	30	1.3k
Deli Zhao China	18	798 0.6×	708 1.1×	371 1.1×	94 0.3×	110 0.6×	57	1.5k
Subramanyam Mallela United States	8	1.0k 0.8×	477 0.7×	279 0.8×	245 0.9×	184 1.0×	9	1.5k
Lorenzo Livi Italy	20	813 0.6×	305 0.5×	189 0.5×	173 0.6×	173 0.9×	70	1.4k
Mingjing Du China	14	729 0.6×	435 0.7×	291 0.8×	180 0.6×	31 0.2×	26	962
Liang Du China	23	801 0.6×	917 1.4×	106 0.3×	152 0.5×	87 0.5×	76	1.4k

Countries citing papers authored by A. Topchy

Since Specialization

Citations

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

Fields of papers citing papers by A. Topchy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. Topchy

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

All Works

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17 of 17 papers shown

Topchy, A., et al.. (2007). Genetic Algorithm for Solution of the Traveling Salesman Problem with New Features against Premature Convergence. 5 indexed citations

Topchy, A., Anil K. Jain, & William F. Punch. (2005). Clustering ensembles: models of consensus and weak partitions. IEEE Transactions on Pattern Analysis and Machine Intelligence. 27(12). 1866–1881. 448 indexed citations breakdown →

Topchy, A., M.H.C. Law, Anil K. Jain, & Ana Fred. (2005). Analysis of Consensus Partition in Cluster Ensemble. 225–232. 110 indexed citations

Law, M.H.C., A. Topchy, & Anil K. Jain. (2005). Model-based Clustering With Probabilistic Constraints. 641–645. 38 indexed citations

Minaei‐Bidgoli, Behrouz, A. Topchy, & William F. Punch. (2004). A comparison of resampling methods for clustering ensembles. International Conference on Artificial Intelligence. 939–945. 52 indexed citations

Topchy, A., Anil K. Jain, & William F. Punch. (2004). A Mixture Model for Clustering Ensembles. 379–390. 271 indexed citations

Law, M.H.C., A. Topchy, & Anil K. Jain. (2004). Multiobjective data clustering. 2. 424–430. 125 indexed citations

Topchy, A., Kim T. Scribner, & William F. Punch. (2004). Accuracy‐driven loci selection and assignment of individuals. Molecular Ecology Notes. 4(4). 798–800. 21 indexed citations

Jain, Anil K., A. Topchy, M.H.C. Law, & Joachim M. Buhmann. (2004). Landscape of clustering algorithms. Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.. 260–263 Vol.1. 52 indexed citations

10.

Topchy, A., Behrouz Minaei‐Bidgoli, Anil K. Jain, & William F. Punch. (2004). Adaptive clustering ensembles. Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.. 272–275 Vol.1. 71 indexed citations

11.

Topchy, A., Anil K. Jain, & William F. Punch. (2004). Combining multiple weak clusterings. 331–338. 237 indexed citations

12.

Guinand, Bruno, Kim T. Scribner, A. Topchy, et al.. (2004). Sampling Issues Affecting Accuracy of Likelihood-based Classification Using Genetical Data. Environmental Biology of Fishes. 69(1-4). 245–259. 17 indexed citations

13.

Minaei‐Bidgoli, Behrouz, A. Topchy, & William F. Punch. (2004). Ensembles of partitions via data resampling. 188–192 Vol.2. 96 indexed citations

14.

Topchy, A. & William F. Punch. (2001). Faster genetic programming based on local gradient search of numeric leaf values. Genetic and Evolutionary Computation Conference. 155–162. 67 indexed citations

15.

Topchy, A., et al.. (1997). Adaptive Training of Radial Basis Function Networks Based on Cooperative Evolution and Evolutionary Programming.. International Conference on Neural Information Processing. 253–258. 12 indexed citations

16.

Topchy, A., et al.. (1997). Neural network training by means of cooperative evolutionary search. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 389(1-2). 240–241. 15 indexed citations

17.

Topchy, A., et al.. (1996). Fast Learning In Multilayered Neural Networks By Means Of Hybrid Evolutionary And Gradient Algorithms. 2 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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