Iyad Batal

946 total citations
21 papers, 648 citations indexed

About

Iyad Batal is a scholar working on Artificial Intelligence, Information Systems and Signal Processing. According to data from OpenAlex, Iyad Batal has authored 21 papers receiving a total of 648 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 11 papers in Information Systems and 9 papers in Signal Processing. Recurrent topics in Iyad Batal's work include Time Series Analysis and Forecasting (9 papers), Data Mining Algorithms and Applications (9 papers) and Rough Sets and Fuzzy Logic (5 papers). Iyad Batal is often cited by papers focused on Time Series Analysis and Forecasting (9 papers), Data Mining Algorithms and Applications (9 papers) and Rough Sets and Fuzzy Logic (5 papers). Iyad Batal collaborates with scholars based in United States, Israel and Italy. Iyad Batal's co-authors include Miloš Hauskrecht, Gregory F. Cooper, Hamed Valizadegan, James H. Harrison, Gilles Clermont, Dmitriy Fradkin, Shyam Visweswaran, Fabian Moerchen, Michal Vaľko and Lucia Sacchi and has published in prestigious journals such as Journal of Biomedical Informatics, Lecture notes in computer science and Knowledge and Information Systems.

In The Last Decade

Iyad Batal

21 papers receiving 610 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Iyad Batal United States	12	396	256	175	78	67	21	648
Kristian G. Olesen Denmark	14	889 2.2×	187 0.7×	91 0.5×	45 0.6×	77 1.1×	36	1.2k
Shoji Hirano Japan	13	186 0.5×	100 0.4×	132 0.8×	40 0.5×	138 2.1×	112	553
Elpida Keravnou Cyprus	15	384 1.0×	94 0.4×	117 0.7×	81 1.0×	58 0.9×	42	577
R. Marı́n Spain	15	327 0.8×	153 0.6×	74 0.4×	51 0.7×	58 0.9×	63	620
Daby Sow United States	14	235 0.6×	101 0.4×	96 0.5×	102 1.3×	24 0.4×	58	693
José M. Juárez Spain	14	252 0.6×	48 0.2×	78 0.4×	86 1.1×	31 0.5×	56	481
Bo Thiesson Denmark	11	458 1.2×	68 0.3×	65 0.4×	64 0.8×	15 0.2×	38	726
Rohit J. Kate United States	17	957 2.4×	162 0.6×	115 0.7×	41 0.5×	28 0.4×	37	1.4k
Byoung-Kee Yi South Korea	10	341 0.9×	540 2.1×	90 0.5×	38 0.5×	13 0.2×	29	866
Grant Wang United States	9	318 0.8×	87 0.3×	56 0.3×	39 0.5×	58 0.9×	12	630

Countries citing papers authored by Iyad Batal

Since Specialization

Citations

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

Fields of papers citing papers by Iyad Batal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Iyad Batal

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

All Works

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20 of 20 papers shown

Hauskrecht, Miloš, et al.. (2016). Outlier-based detection of unusual patient-management actions: An ICU study. Journal of Biomedical Informatics. 64. 211–221. 34 indexed citations

Batal, Iyad, et al.. (2015). A Generalized Mixture Framework for Multi-label Classification. PubMed. 2015. 712–720. 7 indexed citations

Batal, Iyad, Gregory F. Cooper, Dmitriy Fradkin, et al.. (2015). An efficient pattern mining approach for event detection in multivariate temporal data. Knowledge and Information Systems. 46(1). 115–150. 33 indexed citations

Batal, Iyad. (2015). Temporal Data Mining for Healthcare Data. 379–402. 3 indexed citations

Naeini, Mahdi Pakdaman, et al.. (2014). An Optimization-based Framework to Learn Conditional Random Fields for Multi-label Classification. PubMed. 2014. 992–1000. 1 indexed citations

Batal, Iyad, et al.. (2014). A Mixtures-of-Trees Framework for Multi-Label Classification. PubMed. 2014. 211–220. 10 indexed citations

Batal, Iyad, et al.. (2013). An efficient probabilistic framework for multi-dimensional classification. 2417–2422. 17 indexed citations

Hauskrecht, Miloš, Iyad Batal, Michal Vaľko, et al.. (2012). Outlier detection for patient monitoring and alerting. Journal of Biomedical Informatics. 46(1). 47–55. 90 indexed citations

Batal, Iyad, Gregory F. Cooper, & Miloš Hauskrecht. (2012). A Bayesian Scoring Technique for Mining Predictive and Non-Spurious Rules. Lecture notes in computer science. 7524. 260–276. 6 indexed citations

10.

Hauskrecht, Miloš & Iyad Batal. (2012). Mining predictive patterns and extension to multivariate temporal data. 2 indexed citations

11.

Batal, Iyad, Dmitriy Fradkin, James H. Harrison, Fabian Moerchen, & Miloš Hauskrecht. (2012). Mining recent temporal patterns for event detection in multivariate time series data. PubMed. 2012. 280–288. 110 indexed citations

12.

Batal, Iyad, Hamed Valizadegan, Gregory F. Cooper, & Miloš Hauskrecht. (2011). A Pattern Mining Approach for Classifying Multivariate Temporal Data. PubMed. 2011. 358–365. 44 indexed citations

13.

Hauskrecht, Miloš, Michal Vaľko, Iyad Batal, et al.. (2010). Conditional Outlier Detection for Clinical Alerting. HAL (Le Centre pour la Communication Scientifique Directe). 10 indexed citations

14.

Hauskrecht, Miloš, Michal Vaľko, Iyad Batal, et al.. (2010). Conditional outlier detection for clinical alerting.. PubMed. 2010. 286–90. 36 indexed citations

15.

Batal, Iyad & Miloš Hauskrecht. (2010). Constructing classification features using minimal predictive patterns. 869–878. 11 indexed citations

16.

Batal, Iyad & Miloš Hauskrecht. (2010). Mining Clinical Data using Minimal Predictive Rules.. PubMed. 2010. 31–5. 7 indexed citations

17.

Batal, Iyad, Lucia Sacchi, Riccardo Bellazzi, & Miloš Hauskrecht. (2009). Multivariate Time Series Classification with Temporal Abstractions. The Florida AI Research Society. 344–349. 42 indexed citations

18.

Batal, Iyad, Lucia Sacchi, Riccardo Bellazzi, & Miloš Hauskrecht. (2009). A temporal abstraction framework for classifying clinical temporal data.. PubMed. 2009. 29–33. 28 indexed citations

19.

Batal, Iyad & Miloš Hauskrecht. (2009). A Supervised Time Series Feature Extraction Technique Using DCT and DWT. 735–739. 38 indexed citations

20.

Batal, Iyad & Miloš Hauskrecht. (2009). Boosting KNN text classification accuracy by using supervised term weighting schemes. 2041–2044. 21 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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