Igor V. Cadez

806 total citations
12 papers, 495 citations indexed

About

Igor V. Cadez is a scholar working on Artificial Intelligence, Signal Processing and Information Systems. According to data from OpenAlex, Igor V. Cadez has authored 12 papers receiving a total of 495 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 4 papers in Signal Processing and 3 papers in Information Systems. Recurrent topics in Igor V. Cadez's work include Bayesian Methods and Mixture Models (5 papers), Data Management and Algorithms (3 papers) and Statistical Methods and Bayesian Inference (2 papers). Igor V. Cadez is often cited by papers focused on Bayesian Methods and Mixture Models (5 papers), Data Management and Algorithms (3 papers) and Statistical Methods and Bayesian Inference (2 papers). Igor V. Cadez collaborates with scholars based in United States, Australia and Finland. Igor V. Cadez's co-authors include Padhraic Smyth, David Heckerman, Christopher Meek, Steven White, Scott Gaffney, Heikki Mannila, Geoffrey J. McLachlan, Christine E. McLaren, Patricia Bradley and Christine E. McLaren and has published in prestigious journals such as Machine Learning, Data Mining and Knowledge Discovery and eScholarship (California Digital Library).

In The Last Decade

Igor V. Cadez

12 papers receiving 427 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Igor V. Cadez United States	6	231	221	174	79	67	12	495
Georges Dupret United States	14	283 1.2×	553 2.5×	85 0.5×	142 1.8×	79 1.2×	28	818
Alantha Newman France	5	232 1.0×	66 0.3×	112 0.6×	48 0.6×	87 1.3×	17	497
Souptik Datta United States	7	648 2.8×	159 0.7×	104 0.6×	76 1.0×	262 3.9×	12	856
Vikram Pudi India	13	368 1.6×	268 1.2×	81 0.5×	102 1.3×	41 0.6×	54	587
Jiashu Zhao Canada	12	594 2.6×	535 2.4×	64 0.4×	149 1.9×	46 0.7×	35	814
Milton García-Borroto Mexico	14	357 1.5×	190 0.9×	143 0.8×	89 1.1×	29 0.4×	24	576
Mohamed Elfeky United States	11	452 2.0×	292 1.3×	295 1.7×	26 0.3×	200 3.0×	17	779
Kenji Hatano Japan	8	269 1.2×	417 1.9×	108 0.6×	94 1.2×	129 1.9×	41	618
Amitabha Bagchi India	12	131 0.6×	82 0.4×	57 0.3×	62 0.8×	197 2.9×	57	526
Harr Chen United States	10	426 1.8×	220 1.0×	76 0.4×	132 1.7×	62 0.9×	14	619

Countries citing papers authored by Igor V. Cadez

Since Specialization

Citations

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

Fields of papers citing papers by Igor V. Cadez

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Igor V. Cadez. 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 Igor V. Cadez. The network helps show where Igor V. Cadez may publish in the future.

Co-authorship network of co-authors of Igor V. Cadez

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

All Works

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12 of 12 papers shown

Cadez, Igor V., David Heckerman, Christopher Meek, Padhraic Smyth, & Steven White. (2003). Model-Based Clustering and Visualization of Navigation Patterns on a Web Site. Data Mining and Knowledge Discovery. 7(4). 399–424. 138 indexed citations

Kirshner, Sergey, Igor V. Cadez, Padhraic Smyth, Chandrika Kamath, & Erick Cantú‐Paz. (2003). Probabilistic model-based detection of bent-double radio galaxies. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 2. 499–502. 1 indexed citations

Kirshner, Sergey, Igor V. Cadez, Padhraic Smyth, & Chandrika Kamath. (2002). Learning to Classify Galaxy Shapes Using the EM Algorithm. Neural Information Processing Systems. 15. 1521–1528. 4 indexed citations

Cadez, Igor V., Padhraic Smyth, Geoffrey J. McLachlan, & Christine E. McLaren. (2002). Maximum Likelihood Estimation of Mixture Densities for Binned and Truncated Multivariate Data. Machine Learning. 47(1). 7–34. 21 indexed citations

Cadez, Igor V. & Padhraic Smyth. (2002). On model selection and concavity for finite mixture models. 323–323. 3 indexed citations

Cadez, Igor V. & Patricia Bradley. (2001). Model Based Population Tracking and Automatic Detection of Distribution Changes. 14. 1345–1352. 5 indexed citations

Cadez, Igor V., Padhraic Smyth, & Heikki Mannila. (2001). Probabilistic modeling of transaction data with applications to profiling, visualization, and prediction. 37–46. 46 indexed citations

Cadez, Igor V. & Padhraic Smyth. (2000). Model Complexity, Goodness of Fit and Diminishing Returns. Neural Information Processing Systems. 13. 388–394. 2 indexed citations

McLaren, Christine E., Igor V. Cadez, Padhraic Smyth, & Geoffrey J. McLachlan. (2000). Multivariate mixture models for classification of anemias. Queensland's institutional digital repository (The University of Queensland). 112–117. 1 indexed citations

10.

Cadez, Igor V., Scott Gaffney, & Padhraic Smyth. (2000). A general probabilistic framework for clustering individuals and objects. 140–149. 89 indexed citations

11.

Cadez, Igor V., David Heckerman, Christopher Meek, Padhraic Smyth, & Steven White. (2000). Visualization of navigation patterns on a Web site using model-based clustering. 280–284. 177 indexed citations

12.

Cadez, Igor V., Christine E. McLaren, Padhraic Smyth, & Geoffrey J. McLachlan. (1999). Hierarchical Models for Screening of Iron Deficiency Anemia. eScholarship (California Digital Library). 77–86. 8 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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