Igor Chikalov

960 total citations
54 papers, 319 citations indexed

About

Igor Chikalov is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Information Systems. According to data from OpenAlex, Igor Chikalov has authored 54 papers receiving a total of 319 indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Computational Theory and Mathematics, 36 papers in Artificial Intelligence and 26 papers in Information Systems. Recurrent topics in Igor Chikalov's work include Rough Sets and Fuzzy Logic (38 papers), Data Mining Algorithms and Applications (26 papers) and Statistical and Computational Modeling (16 papers). Igor Chikalov is often cited by papers focused on Rough Sets and Fuzzy Logic (38 papers), Data Mining Algorithms and Applications (26 papers) and Statistical and Computational Modeling (16 papers). Igor Chikalov collaborates with scholars based in Saudi Arabia, United States and Poland. Igor Chikalov's co-authors include Mikhail Moshkov, Shahid Hussain, Beata Zielosko, Jean‐Claude Latombe, I. Kozintsev, Andrzej Skowron, Hung Son Nguyen, Vadim Lozin, Rainer Lienhart and Alexander Borisov and has published in prestigious journals such as European Journal of Operational Research, BMC Bioinformatics and Information Sciences.

In The Last Decade

Igor Chikalov

48 papers receiving 310 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Igor Chikalov Saudi Arabia	11	201	177	116	31	26	54	319
Yunsong Qi China	9	228 1.1×	201 1.1×	116 1.0×	71 2.3×	24 0.9×	16	368
Been-Chian Chien Taiwan	10	142 0.7×	258 1.5×	150 1.3×	33 1.1×	27 1.0×	40	391
Muhammad Summair Raza Pakistan	11	171 0.9×	108 0.6×	175 1.5×	46 1.5×	10 0.4×	23	291
Yuhua Qian China	8	219 1.1×	157 0.9×	113 1.0×	80 2.6×	11 0.4×	28	330
Lanying Wang China	4	309 1.5×	242 1.4×	162 1.4×	57 1.8×	10 0.4×	6	396
Chunmao Jiang China	11	211 1.0×	156 0.9×	106 0.9×	95 3.1×	13 0.5×	39	341
Dehui Du China	11	109 0.5×	95 0.5×	88 0.8×	25 0.8×	16 0.6×	41	306
Xiangfu Zhao China	10	69 0.3×	70 0.4×	94 0.8×	11 0.4×	16 0.6×	50	275
Shiqing Fan China	5	142 0.7×	145 0.8×	71 0.6×	53 1.7×	7 0.3×	13	300
Ma Xiao China	9	322 1.6×	209 1.2×	174 1.5×	96 3.1×	20 0.8×	26	392

Countries citing papers authored by Igor Chikalov

Since Specialization

Citations

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

Fields of papers citing papers by Igor Chikalov

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Igor Chikalov

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Chikalov, Igor, et al.. (2021). Minimizing Number of Nodes in Decision Trees with Hypotheses. Procedia Computer Science. 192. 232–240. 2 indexed citations

Chikalov, Igor, et al.. (2018). Extensions of Dynamic Programming for Combinatorial Optimization and Data Mining. Intelligent systems reference library. 20 indexed citations

Chikalov, Igor, et al.. (2015). Decision trees with minimum average depth for sorting eight elements. Discrete Applied Mathematics. 204. 203–207. 4 indexed citations

Chikalov, Igor, et al.. (2014). Diagnosis of constant faults in read-once contact networks over finite bases. Discrete Applied Mathematics. 184. 76–88.

Chikalov, Igor, Shahid Hussain, & Mikhail Moshkov. (2014). Relationships between Average Depth and Number of Misclassifications for Decision Trees. Fundamenta Informaticae. 129(1-2). 15–26. 2 indexed citations

Chikalov, Igor, et al.. (2013). Optimization and analysis of decision trees and rules: dynamic programming approach. International Journal of General Systems. 42(6). 614–634. 9 indexed citations

Chikalov, Igor, et al.. (2013). Diagnosis of constant faults in iteration-free circuits over monotone basis. Discrete Applied Mathematics. 166. 287–291. 2 indexed citations

Chikalov, Igor, et al.. (2013). Optimization of Decision Rule Complexity for Decision Tables with Many-Valued Decisions. King Abdullah University of Science and Technology Repository (King Abdullah University of Science and Technology). 7. 444–448.

Chikalov, Igor. (2013). Three Approaches to Data Analysis : Test Theory, Rough Sets and Logical Analysis of Data. CERN Document Server (European Organization for Nuclear Research). 14 indexed citations

10.

Chikalov, Igor, et al.. (2012). Relationships Between Length and Coverage of Exact Decision Rules.. 1–12. 1 indexed citations

11.

Chikalov, Igor, Shahid Hussain, & Mikhail Moshkov. (2012). Average Depth and Number of Misclassifications for Decision Trees.. 160–169. 1 indexed citations

12.

Chikalov, Igor, et al.. (2012). Greedy Algorithm for Construction of Decision Trees for Tables with Many-Valued Decisions.. 13–24. 6 indexed citations

13.

Chikalov, Igor, et al.. (2012). Tests for decision tables with many-valued decisions — Comparative study. King Abdullah University of Science and Technology Repository (King Abdullah University of Science and Technology). 271–277. 2 indexed citations

14.

Chikalov, Igor, et al.. (2012). Dynamic Programming Approach for Partial Decision Rule Optimization. Fundamenta Informaticae. 119(3-4). 233–248. 3 indexed citations

15.

Chikalov, Igor, et al.. (2011). Sequential optimization of binary search trees for multiple cost functions. 41–44. 2 indexed citations

16.

Chikalov, Igor, et al.. (2011). Learning probabilistic models of hydrogen bond stability from molecular dynamics simulation trajectories. BMC Bioinformatics. 12(S1). S34–S34. 34 indexed citations

17.

Borisov, Alexander, et al.. (2010). Rule Induction for Identifying Multilayer Tool Commonalities. IEEE Transactions on Semiconductor Manufacturing. 24(2). 197–201. 2 indexed citations

18.

Chikalov, Igor, et al.. (2004). Consecutive Optimization of Decision Trees Concerning Various Complexity Measures. 61(2). 87–96. 5 indexed citations

19.

Chikalov, Igor. (2002). On Average Depth of Decision Trees Implementing Boolean Functions. Fundamenta Informaticae. 50(3-4). 265–284. 1 indexed citations

20.

Moshkov, Mikhail & Igor Chikalov. (1997). Bounds on Average Weighted Depth of Decision Trees. Fundamenta Informaticae. 31(2). 145–156. 7 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.

Explore authors with similar magnitude of impact