Riyaz Sikora

1.3k total citations
36 papers, 823 citations indexed

About

Riyaz Sikora is a scholar working on Artificial Intelligence, Management Science and Operations Research and Industrial and Manufacturing Engineering. According to data from OpenAlex, Riyaz Sikora has authored 36 papers receiving a total of 823 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 10 papers in Management Science and Operations Research and 10 papers in Industrial and Manufacturing Engineering. Recurrent topics in Riyaz Sikora's work include Scheduling and Optimization Algorithms (9 papers), Auction Theory and Applications (8 papers) and Evolutionary Algorithms and Applications (7 papers). Riyaz Sikora is often cited by papers focused on Scheduling and Optimization Algorithms (9 papers), Auction Theory and Applications (8 papers) and Evolutionary Algorithms and Applications (7 papers). Riyaz Sikora collaborates with scholars based in United States, Poland and Singapore. Riyaz Sikora's co-authors include Michael J. Shaw, Selwyn Piramuthu, Jingquan Li, Gek Woo Tan, Michael J. Shaw, Sridhar Nerur, George Mangalaraj, VenuGopal Balijepally, Dilip Chhajed and In Lee and has published in prestigious journals such as Management Science, Communications of the ACM and European Journal of Operational Research.

In The Last Decade

Riyaz Sikora

32 papers receiving 745 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Riyaz Sikora United States 15 244 238 226 122 110 36 823
Jae Kyu Lee South Korea 13 144 0.6× 124 0.5× 146 0.6× 77 0.6× 148 1.3× 64 636
Mark Greaves United States 12 235 1.0× 67 0.3× 297 1.3× 274 2.2× 133 1.2× 41 951
Richard G. Mathieu United States 14 168 0.7× 91 0.4× 82 0.4× 77 0.6× 147 1.3× 40 658
Norihisa Komoda Japan 12 258 1.1× 208 0.9× 168 0.7× 56 0.5× 190 1.7× 181 797
D. Y. Sha Taiwan 17 189 0.8× 731 3.1× 270 1.2× 175 1.4× 58 0.5× 41 1.2k
Klaus Turowski Germany 14 262 1.1× 175 0.7× 138 0.6× 119 1.0× 309 2.8× 161 863
Kurt Sandkuhl Germany 14 480 2.0× 159 0.7× 248 1.1× 96 0.8× 369 3.4× 188 989
Manu De Backer Belgium 13 513 2.1× 122 0.5× 350 1.5× 115 0.9× 417 3.8× 35 1.0k
Gek Woo Tan United States 9 243 1.0× 88 0.4× 120 0.5× 167 1.4× 183 1.7× 12 765
Kostas Vergidis Greece 13 356 1.5× 136 0.6× 61 0.3× 66 0.5× 215 2.0× 37 603

Countries citing papers authored by Riyaz Sikora

Since Specialization
Citations

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

Fields of papers citing papers by Riyaz Sikora

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Riyaz Sikora

This figure shows the co-authorship network connecting the top 25 collaborators of Riyaz Sikora. A scholar is included among the top collaborators of Riyaz Sikora 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 Riyaz Sikora. Riyaz Sikora 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.
Kapoor, Gaurav, Yoonsang Lee, Riyaz Sikora, & Selwyn Piramuthu. (2024). Drone-based warehouse inventory management of perishables. International Journal of Production Economics. 278. 109437–109437.
2.
Sikora, Riyaz, et al.. (2024). Class Imbalance Problem: A Wrapper-Based Approach using Under-Sampling with Ensemble Learning. Information Systems Frontiers. 27(4). 1491–1506. 1 indexed citations
3.
Shaw, Michael J. & Riyaz Sikora. (2018). A distributed problem-solving approach to rule induction : learning in distributed artificial intelligence systems. Research Showcase @ Carnegie Mellon University (Carnegie Mellon University).
4.
Shaw, Michael J. & Riyaz Sikora. (2018). A distributed problem-solving approach to inductive learning. Research Showcase @ Carnegie Mellon University (Carnegie Mellon University). 1 indexed citations
5.
Sikora, Riyaz, et al.. (2018). Application of adaptive strategy for supply chain agent. Information Systems and e-Business Management. 17(1). 117–157. 5 indexed citations
6.
Yao, Dong‐Qing, et al.. (2017). An Adaptive Supplier Selection Mechanism in E-Procurement Marketplace. Journal of international technology and information management. 26(2). 94–116. 2 indexed citations
7.
Sikora, Riyaz, et al.. (2014). A Modified Stacking Ensemble Machine Learning Algorithm Using Genetic Algorithms. Journal of international technology and information management. 23(1). 30 indexed citations
8.
Sikora, Riyaz, et al.. (2013). Performance of online reputation mechanisms under the influence of different types of biases. Information Systems and e-Business Management. 12(3). 417–442. 6 indexed citations
9.
Sikora, Riyaz, et al.. (2011). An adaptive evaluation mechanism for online traders. European Journal of Operational Research. 214(3). 739–748. 6 indexed citations
10.
Sikora, Riyaz, et al.. (2011). Estimating sequential bias in online reviews: A Kalman filtering approach. Knowledge-Based Systems. 27. 314–321. 22 indexed citations
11.
Sikora, Riyaz. (2008). Meta-learning optimal parameter values in non-stationary environments. Knowledge-Based Systems. 21(8). 800–806. 4 indexed citations
12.
Piramuthu, Selwyn & Riyaz Sikora. (2008). Iterative feature construction for improving inductive learning algorithms. Expert Systems with Applications. 36(2). 3401–3406. 27 indexed citations
13.
Li, Jingquan, Riyaz Sikora, Michael J. Shaw, & Gek Woo Tan. (2005). A strategic analysis of inter organizational information sharing. Decision Support Systems. 42(1). 251–266. 118 indexed citations
14.
Sikora, Riyaz & Michael J. Shaw. (1998). A Multi-Agent Framework for the Coordination and Integration of Information Systems. Management Science. 44(11-part-2). S65–S78. 114 indexed citations
15.
Sikora, Riyaz, et al.. (1997). A genetic algorithm-based approach to flexible flow-line scheduling with variable lot sizes. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics). 27(1). 36–54. 63 indexed citations
16.
Sikora, Riyaz, Dilip Chhajed, & Michael J. Shaw. (1996). Integrating the lot-sizing and sequencing decisions for scheduling a capacitated flow line. Computers & Industrial Engineering. 30(4). 659–679. 24 indexed citations
17.
Sikora, Riyaz & Michael J. Shaw. (1994). A Double-Layered Learning Approach to Acquiring Rules for Classification: Integrating Genetic Algorithms with Similarity-Based Learning. INFORMS Journal on Computing. 6(2). 174–187. 21 indexed citations
18.
Lee, In, Riyaz Sikora, & Michael J. Shaw. (1993). Joint Lot Sizing and Sequencing with Genetic Algorithms for Scheduling: Evolving the Chromosome Structure. international conference on Genetic algorithms. 383–391. 14 indexed citations
19.
Sikora, Riyaz & Michael Shaw. (1991). The distributed learning system : a group problem-solving approach to rule learning / 91-143. Illinois Digital Environment for Access to Learning and Scholarship (University of Illinois at Urbana-Champaign). 1 indexed citations
20.
Sikora, Riyaz & Michael Shaw. (1990). A double-layered learning approach to acquiring rules for financial classification / 1693. Illinois Digital Environment for Access to Learning and Scholarship (University of Illinois at Urbana-Champaign). 1 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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