Howard J. Hamilton

4.4k total citations · 1 hit paper
86 papers, 2.1k citations indexed

About

Howard J. Hamilton is a scholar working on Information Systems, Signal Processing and Computer Networks and Communications. According to data from OpenAlex, Howard J. Hamilton has authored 86 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Information Systems, 34 papers in Signal Processing and 30 papers in Computer Networks and Communications. Recurrent topics in Howard J. Hamilton's work include Data Mining Algorithms and Applications (38 papers), Data Management and Algorithms (29 papers) and Rough Sets and Fuzzy Logic (21 papers). Howard J. Hamilton is often cited by papers focused on Data Mining Algorithms and Applications (38 papers), Data Management and Algorithms (29 papers) and Rough Sets and Fuzzy Logic (21 papers). Howard J. Hamilton collaborates with scholars based in Canada, Denmark and France. Howard J. Hamilton's co-authors include Liqiang Geng, Hong Yao, Cory J. Butz, Robert J. Hilderman, Nick Cercone, Irfan Al‐Anbagi, Ning Shan, Wojciech Ziarko, Fabrice Guillet and Kamran Karimi and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and ACM Computing Surveys.

In The Last Decade

Howard J. Hamilton

76 papers receiving 1.9k citations

Hit Papers

Interestingness measures for data mining 2006 2026 2012 2019 2006 200 400 600
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.

  1. Interestingness measures for data mining
    2006 654 citations Liqiang Geng, Howard J. Hamilton profile →

Peers

Howard J. Hamilton
Craig Silverstein United States
Yongjian Fu China
Bart Goethals Belgium
A. Swami United States
Nick Cercone Canada
Shalom Tsur⋆ United States
A. Inkeri Verkamo Finland
Bay Vo Vietnam
Daniel Sánchez Spain
Salvatore Orlando Italy
Craig Silverstein United States
Howard J. Hamilton
Citations per year, relative to Howard J. Hamilton Howard J. Hamilton (= 1×) peers Craig Silverstein

Countries citing papers authored by Howard J. Hamilton

Since Specialization
Citations

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

Fields of papers citing papers by Howard J. Hamilton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Howard J. Hamilton. 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 Howard J. Hamilton. The network helps show where Howard J. Hamilton may publish in the future.

Co-authorship network of co-authors of Howard J. Hamilton

This figure shows the co-authorship network connecting the top 25 collaborators of Howard J. Hamilton. A scholar is included among the top collaborators of Howard J. Hamilton 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 Howard J. Hamilton. Howard J. Hamilton 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.
Al‐Anbagi, Irfan, et al.. (2024). Privacy-Preserving Authentication Mechanism for P2P Energy Trading in Smart Grid Networks. 3085–3090. 2 indexed citations
2.
Al‐Anbagi, Irfan, et al.. (2024). SATI: Sidechain-Based Access Control & Trust Mechanism for IoT Networks. IEEE Transactions on Network and Service Management. 21(5). 5888–5903. 6 indexed citations
3.
Al‐Anbagi, Irfan, et al.. (2024). Blockchain-Enhanced Zero Knowledge Proof-Based Privacy-Preserving Mutual Authentication for IoT Networks. IEEE Access. 12. 118618–118636. 7 indexed citations
4.
Al‐Anbagi, Irfan, et al.. (2023). Trust-based Blockchain Mechanism for V2X Networks in a Smart Grid Environment. 3. 496–501. 1 indexed citations
5.
Al‐Anbagi, Irfan, et al.. (2023). TABI: Trust-Based ABAC Mechanism for Edge-IoT Using Blockchain Technology. IEEE Access. 11. 36379–36398. 16 indexed citations
6.
Viappiani, Paolo, Sandra Zilles, Howard J. Hamilton, & Craig Boutilier. (2011). A Bayesian concept learning approach to crowdsourcing. VBN Forskningsportal (Aalborg Universitet). 756. 60–67. 1 indexed citations
7.
Guillet, Fabrice & Howard J. Hamilton. (2007). Quality Measures in Data Mining (Studies in Computational Intelligence). Springer eBooks. 19 indexed citations
8.
Hamilton, Howard J., et al.. (2006). CrowdMixer: Multiple Agent Types in Situation-Based Crowd Simulations. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 2(1). 15–20.
9.
Hamilton, Howard J., et al.. (2005). Efficient spatio-temporal data mining with GenSpace graphs. Journal of Applied Logic. 4(2). 192–214. 4 indexed citations
10.
Yao, Hong, Howard J. Hamilton, & Cory J. Butz. (2004). A Foundational Approach to Mining Itemset Utilities from Databases. 482–486. 368 indexed citations
11.
Karimi, Kamran & Howard J. Hamilton. (2003). Distinguishing causal and acausal temporal relations. Knowledge Discovery and Data Mining. 234–240. 6 indexed citations
12.
Hamilton, Howard J. & Leah Findlater. (2002). Looking Backward, Forward, and All Around: Temporal, Spatial, and Spatio-Temporal Data Mining. The Florida AI Research Society. 481–485. 1 indexed citations
13.
Hilderman, Robert J., Liangchun Li, & Howard J. Hamilton. (2001). Visualizing data mining results with domain generalization graphs. Morgan Kaufmann Publishers Inc. eBooks. 251–270. 4 indexed citations
14.
Findlater, Leah & Howard J. Hamilton. (2001). An Empirical Comparison of Methods for Iceberg-CUBE Construction. The Florida AI Research Society. 102(5). 244–248. 2 indexed citations
15.
Hilderman, Robert J., et al.. (1999). Ranking the Interestingness of Summaries from Data Mining Systems. The Florida AI Research Society. 100–106. 9 indexed citations
16.
Hilderman, Robert J. & Howard J. Hamilton. (1999). Heuristic for Ranking the Interestigness of Discovered Knowledge. 204–209. 2 indexed citations
17.
Hamilton, Howard J., et al.. (1998). A Technique for Generalizing Temporal Durations in Relational Databases. The Florida AI Research Society. 193–197. 1 indexed citations
18.
Shan, Ning, Wojciech Ziarko, Howard J. Hamilton, & Nick Cercone. (1996). Discovering classification knowledge in databases using rough sets. Knowledge Discovery and Data Mining. 271–274. 2 indexed citations
19.
Shan, Ning, Wojciech Ziarko, Howard J. Hamilton, & Nick Cercone. (1995). Using rough sets as tools for knowledge discovery. Knowledge Discovery and Data Mining. 263–268. 36 indexed citations
20.
Hamilton, Howard J., et al.. (1995). A fast, on-line generalization algorithm for knowledge discovery. Applied Mathematics Letters. 8(2). 5–11. 16 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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