Anand J. Kulkarni

2.2k total citations
81 papers, 1.1k citations indexed

About

Anand J. Kulkarni is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Industrial and Manufacturing Engineering. According to data from OpenAlex, Anand J. Kulkarni has authored 81 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Artificial Intelligence, 18 papers in Computational Theory and Mathematics and 11 papers in Industrial and Manufacturing Engineering. Recurrent topics in Anand J. Kulkarni's work include Metaheuristic Optimization Algorithms Research (25 papers), Evolutionary Algorithms and Applications (18 papers) and Advanced Multi-Objective Optimization Algorithms (16 papers). Anand J. Kulkarni is often cited by papers focused on Metaheuristic Optimization Algorithms Research (25 papers), Evolutionary Algorithms and Applications (18 papers) and Advanced Multi-Objective Optimization Algorithms (16 papers). Anand J. Kulkarni collaborates with scholars based in India, Canada and Singapore. Anand J. Kulkarni's co-authors include Suresh Chandra Satapathy, Kang Tai, Ajith Abraham, Raveendran Paramesran, Ishan Durugkar, Mrinal Kumar, Fazle Baki, Pritesh Shah, Jeevan Kanesan and Joon Huang Chuah and has published in prestigious journals such as SHILAP Revista de lepidopterología, European Journal of Operational Research and Journal of Hepatology.

In The Last Decade

Anand J. Kulkarni

70 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Anand J. Kulkarni India	17	642	348	165	158	154	81	1.1k
Mohamed A. Tawhid Canada	20	760 1.2×	520 1.5×	111 0.7×	104 0.7×	84 0.5×	65	1.3k
Osman Kaan Erol Türkiye	7	768 1.2×	493 1.4×	102 0.6×	115 0.7×	71 0.5×	13	1.4k
Haibin Ouyang China	18	557 0.9×	261 0.8×	167 1.0×	104 0.7×	81 0.5×	89	1.3k
Irfan Younas Pakistan	12	643 1.0×	303 0.9×	69 0.4×	211 1.3×	46 0.3×	38	1.1k
Ender Sevinç Türkiye	8	488 0.8×	203 0.6×	136 0.8×	120 0.8×	40 0.3×	18	946
Zhengping Liang China	19	994 1.5×	832 2.4×	137 0.8×	96 0.6×	71 0.5×	48	1.4k
Changhe Li China	19	1.3k 2.0×	984 2.8×	155 0.9×	133 0.8×	63 0.4×	67	1.8k
Koorush Ziarati Iran	15	419 0.7×	250 0.7×	381 2.3×	85 0.5×	69 0.4×	47	1.1k

Countries citing papers authored by Anand J. Kulkarni

Since Specialization

Citations

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

Fields of papers citing papers by Anand J. Kulkarni

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anand J. Kulkarni

This figure shows the co-authorship network connecting the top 25 collaborators of Anand J. Kulkarni. A scholar is included among the top collaborators of Anand J. Kulkarni 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 Anand J. Kulkarni. Anand J. Kulkarni 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

Kumar, Ahlad, et al.. (2025). Digital Defence.

Kulkarni, Anand J., et al.. (2024). A Comprehensive Review of Goal Programming Problems and Constraint Handling Approaches. 899–930.

Choudhary, Vaishali, et al.. (2024). A Comprehensive Review of Patient Scheduling Techniques with Uncertainty. 933–953. 1 indexed citations

Kulkarni, Anand J., et al.. (2023). Application of cohort intelligence algorithm for goal programming problems with improved constraint handling method. International Journal of Bio-Inspired Computation. 21(2). 94–94. 2 indexed citations

Kulkarni, Anand J., et al.. (2023). AI-Based Metaheuristics for Information Security and Digital Media. 6 indexed citations

Kulkarni, Anand J., et al.. (2023). LAB: a leader–advocate–believer-based optimization algorithm. Soft Computing. 27(11). 7209–7243. 7 indexed citations

Kulkarni, Anand J., et al.. (2023). A Comprehensive Review of Goal Programming Problems and Constraint Handling Approaches. 1–32. 1 indexed citations

Kulkarni, Anand J.. (2022). Africa's Knowledge Economy and Links to India. Digital Commons - DU (University of Denver). 6(1). 1–38. 1 indexed citations

Kulkarni, Anand J.. (2021). Proceedings of the 2nd International Conference on Data Engineering and Communication Technology: ICDECT 2017. Springer eBooks. 3 indexed citations

10.

Shah, Pritesh, Ravi Sekhar, Anand J. Kulkarni, & Patrick Siarry. (2021). Metaheuristic Algorithms in Industry 4.0. SPIRE - Sciences Po Institutional REpository. 34 indexed citations

11.

Kulkarni, Anand J., et al.. (2020). Application of Swarm Robotic System in a Dynamic Environment using Cohort Intelligence. SHILAP Revista de lepidopterología. 2. 100006–100006. 7 indexed citations

12.

Kulkarni, Anand J., et al.. (2020). Pareto dominance based Multiobjective Cohort Intelligence algorithm. Information Sciences. 538. 69–118. 14 indexed citations

13.

Sushil, N.A., Tripti Singh, & Anand J. Kulkarni. (2017). Flexibility in Resource Management. 4 indexed citations

14.

Kulkarni, Anand J., et al.. (2016). Probability collectives for solving discrete and mixed variable problems. International Journal of Computer Aided Engineering and Technology. 8(4). 325–325. 4 indexed citations

15.

Кулкарни, Омкар, et al.. (2016). Constrained cohort intelligence using static and dynamic penalty function approach for mechanical components design. International Journal of Parallel Emergent and Distributed Systems. 33(6). 570–588. 28 indexed citations

16.

Kulkarni, Anand J., Kang Tai, & Ajith Abraham. (2015). Probability Collectives: A Distributed Multi-agent System Approach for Optimization. CERN Document Server (European Organization for Nuclear Research). 3 indexed citations

17.

Kulkarni, Anand J., et al.. (2012). A modified feasibility-based rule for solving constrained optimization problems using Probability Collectives. DR-NTU (Nanyang Technological University). 2. 213–218. 6 indexed citations

18.

Kulkarni, Anand J. & Kang Tai. (2011). A Probability Collectives Approach with a Feasibility‐Based Rule for Constrained Optimization. Applied Computational Intelligence and Soft Computing. 2011(1). 9 indexed citations

19.

Kulkarni, Anand J. & René V. Mayorga. (2008). Optimizing Artificial Neural Networks through Layer Partition and Genetic Algorithms. 2008. 76–81.

20.

Kulkarni, Anand J. & René V. Mayorga. (2005). The Design of the Spindle of the Cylindrical Grinding Machine through Neural Networks and Genetic Algorithm.. Indian International Conference on Artificial Intelligence. 3323–3336.

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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