Alireza Farhangfar

679 total citations
8 papers, 478 citations indexed

About

Alireza Farhangfar is a scholar working on Information Systems, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Alireza Farhangfar has authored 8 papers receiving a total of 478 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Information Systems, 3 papers in Artificial Intelligence and 2 papers in Control and Systems Engineering. Recurrent topics in Alireza Farhangfar's work include Data Mining Algorithms and Applications (4 papers), Data Quality and Management (2 papers) and Machine Learning and Data Classification (2 papers). Alireza Farhangfar is often cited by papers focused on Data Mining Algorithms and Applications (4 papers), Data Quality and Management (2 papers) and Machine Learning and Data Classification (2 papers). Alireza Farhangfar collaborates with scholars based in Canada, Iran and United States. Alireza Farhangfar's co-authors include Lukasz Kurgan, Jennifer Dy, Witold Pedrycz, Saeed Afsharnia, Russell Greiner, Roman Shor, Martin Zinkevich and Csaba Szepesvári and has published in prestigious journals such as Pattern Recognition, IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans and IFAC-PapersOnLine.

In The Last Decade

Alireza Farhangfar

8 papers receiving 450 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Alireza Farhangfar Canada	6	276	139	75	75	66	8	478
Zhuoming Xu China	9	304 1.1×	165 1.2×	120 1.6×	36 0.5×	45 0.7×	44	509
Md Geaur Rahman Australia	8	229 0.8×	100 0.7×	70 0.9×	77 1.0×	22 0.3×	16	355
M. Carmen Garrido Spain	9	227 0.8×	62 0.4×	63 0.8×	25 0.3×	26 0.4×	34	402
Tapio Elomaa Finland	12	375 1.4×	150 1.1×	97 1.3×	21 0.3×	73 1.1×	39	564
Robert E. Banfield United States	8	323 1.2×	88 0.6×	104 1.4×	16 0.2×	49 0.7×	12	514
Sona Taheri Australia	14	237 0.9×	75 0.5×	82 1.1×	20 0.3×	52 0.8×	49	563
Xuewen Chen United States	8	357 1.3×	65 0.5×	99 1.3×	14 0.2×	27 0.4×	19	507
Maciej Jaworski Poland	12	448 1.6×	56 0.4×	50 0.7×	14 0.2×	133 2.0×	20	630
Piotr Duda Poland	12	453 1.6×	58 0.4×	52 0.7×	14 0.2×	137 2.1×	24	637
Dragos D. Margineantu United States	6	404 1.5×	72 0.5×	136 1.8×	26 0.3×	38 0.6×	12	510

Countries citing papers authored by Alireza Farhangfar

Since Specialization

Citations

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

Fields of papers citing papers by Alireza Farhangfar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alireza Farhangfar

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

All Works

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8 of 8 papers shown

1.

Farhangfar, Alireza & Roman Shor. (2020). State Observer Design for a Class of Lipschitz Nonlinear System with Uncertainties. IFAC-PapersOnLine. 53(1). 283–288. 3 indexed citations

2.

Farhangfar, Alireza, et al.. (2018). Evaluating Human-Machine Interaction for Automated Drilling Systems. 1 indexed citations

3.

Farhangfar, Alireza, Russell Greiner, & Csaba Szepesvári. (2009). Learning to segment from a few well-selected training images. 305–312. 6 indexed citations

4.

Farhangfar, Alireza, Russell Greiner, & Martin Zinkevich. (2008). A Fast Way to Produce Optimal Fixed-Depth Decision Trees.. 6 indexed citations

5.

Farhangfar, Alireza, Lukasz Kurgan, & Jennifer Dy. (2008). Impact of imputation of missing values on classification error for discrete data. Pattern Recognition. 41(12). 3692–3705. 250 indexed citations

6.

Farhangfar, Alireza, Lukasz Kurgan, & Witold Pedrycz. (2007). A Novel Framework for Imputation of Missing Values in Databases. IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans. 37(5). 692–709. 167 indexed citations

7.

Farhangfar, Alireza, et al.. (2004). Power flow control and loss minimization with unified power flow controller (UPFC). 139. 385–388. 16 indexed citations

8.

Farhangfar, Alireza, Lukasz Kurgan, & Witold Pedrycz. (2004). Experimental analysis of methods for imputation of missing values in databases. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5421. 172–172. 29 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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