A. J. Umbarkar

588 total citations
23 papers, 360 citations indexed

About

A. J. Umbarkar is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Vision and Pattern Recognition. According to data from OpenAlex, A. J. Umbarkar has authored 23 papers receiving a total of 360 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 9 papers in Computational Theory and Mathematics and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in A. J. Umbarkar's work include Metaheuristic Optimization Algorithms Research (16 papers), Advanced Multi-Objective Optimization Algorithms (9 papers) and Evolutionary Algorithms and Applications (8 papers). A. J. Umbarkar is often cited by papers focused on Metaheuristic Optimization Algorithms Research (16 papers), Advanced Multi-Objective Optimization Algorithms (9 papers) and Evolutionary Algorithms and Applications (8 papers). A. J. Umbarkar collaborates with scholars based in India, Taiwan and China. A. J. Umbarkar's co-authors include Madhuri S. Joshi, Wei‐Chiang Hong and Sunilkumar S. Manvi and has published in prestigious journals such as Applied Mathematics and Computation, International Journal of Bio-Inspired Computation and Intelligent Systems with Applications.

In The Last Decade

A. J. Umbarkar

21 papers receiving 320 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A. J. Umbarkar India 8 162 70 63 50 38 23 360
Julius Beneoluchi Odili Malaysia 10 213 1.3× 92 1.3× 60 1.0× 51 1.0× 66 1.7× 41 402
Esther Villar-Rodríguez Spain 8 229 1.4× 72 1.0× 88 1.4× 53 1.1× 42 1.1× 30 457
Cyril Fonlupt France 8 218 1.3× 108 1.5× 73 1.2× 58 1.2× 31 0.8× 28 375
Aziz Ouaarab Morocco 3 194 1.2× 128 1.8× 59 0.9× 45 0.9× 34 0.9× 6 349
Noraini Mohd Razali Malaysia 4 86 0.5× 79 1.1× 38 0.6× 34 0.7× 27 0.7× 8 284
Binping Zhao China 5 190 1.2× 42 0.6× 79 1.3× 49 1.0× 56 1.5× 6 356
Hong Choon Ong Malaysia 9 169 1.0× 31 0.4× 66 1.0× 24 0.5× 41 1.1× 20 310
Jörg Gebhardt Germany 10 152 0.9× 40 0.6× 62 1.0× 34 0.7× 80 2.1× 31 365
Abdul Halim Malaysia 6 167 1.0× 69 1.0× 90 1.4× 25 0.5× 46 1.2× 12 338
Kanchan Rajwar India 4 153 0.9× 42 0.6× 70 1.1× 26 0.5× 36 0.9× 6 312

Countries citing papers authored by A. J. Umbarkar

Since Specialization
Citations

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

Fields of papers citing papers by A. J. Umbarkar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. J. Umbarkar

This figure shows the co-authorship network connecting the top 25 collaborators of A. J. Umbarkar. A scholar is included among the top collaborators of A. J. Umbarkar 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 A. J. Umbarkar. A. J. Umbarkar 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.
Umbarkar, A. J., et al.. (2024). MapReduce teaching learning based optimization algorithm for solving CEC-2013 LSGO benchmark Testsuit. Intelligent Systems with Applications. 24. 200460–200460. 1 indexed citations
2.
Umbarkar, A. J., et al.. (2023). Detecting Violations of Conditional Functional Dependencies in Distributed Database. 1–4. 4 indexed citations
3.
Umbarkar, A. J., et al.. (2018). Comparative Study of CEC’2013 Problem Using Dual Population Genetic Algorithm. International Journal of Information Engineering and Electronic Business. 10(5). 40–45. 1 indexed citations
4.
Umbarkar, A. J., et al.. (2017). Performance evaluation of firefly algorithm with variation in sorting for non-linear benchmark problems. AIP conference proceedings. 1836. 20032–20032. 12 indexed citations
5.
Umbarkar, A. J., Madhuri S. Joshi, & Wei‐Chiang Hong. (2016). Comparative study of diversity based parallel dual population genetic algorithm for unconstrained function optimisations. International Journal of Bio-Inspired Computation. 8(4). 248–263. 3 indexed citations
6.
Umbarkar, A. J., et al.. (2016). COMPARATIVE STUDY OF EDGE BASED LSB MATCHING STEGANOGRAPHY FOR COLOR IMAGES. ICTACT Journal on Image and Video Processing. 6(3). 1185–1191. 4 indexed citations
7.
Umbarkar, A. J., et al.. (2016). Analysis of Cryptographic Protocols AKI, ARPKI and OPT using ProVerif and AVISPA. International Journal of Computer Network and Information Security. 8(3). 34–40. 3 indexed citations
8.
Joshi, Madhuri S., et al.. (2016). Comparative study of diversity based parallel dual population genetic algorithm for unconstrained function optimisations. International Journal of Bio-Inspired Computation. 8(4). 248–248. 6 indexed citations
9.
Umbarkar, A. J., et al.. (2015). OpenMP Teaching-Learning Based Optimization Algorithm over Multi-Core System. International Journal of Intelligent Systems and Applications. 7(7). 57–65. 14 indexed citations
10.
Umbarkar, A. J., et al.. (2015). Hybrid Multi-Objective Particle Swarm Optimization for Flexible Job Shop Scheduling Problem. International Journal of Intelligent Systems and Applications. 7(4). 54–61. 19 indexed citations
11.
Umbarkar, A. J., et al.. (2015). Constrained Optimization Problems Solving Using Evolutionary Algorithms: A Review. 1251–1257. 5 indexed citations
12.
Umbarkar, A. J., et al.. (2015). OpenMP Dual Population Genetic Algorithm for Solving Constrained Optimization Problems. International Journal of Information Engineering and Electronic Business. 7(1). 59–65. 8 indexed citations
13.
Umbarkar, A. J., et al.. (2015). CROSSOVER OPERATORS IN GENETIC ALGORITHMS: A REVIEW. ICTACT Journal on Soft Computing. 6(1). 1083–1092. 222 indexed citations
14.
Umbarkar, A. J., et al.. (2015). Dual Population Genetic Algorithm for Solving Constrained Optimization Problems. International Journal of Intelligent Systems and Applications. 7(2). 34–40. 7 indexed citations
15.
Umbarkar, A. J. & Madhuri S. Joshi. (2014). 0/1 Knapsack Problem using Diversity based Dual Population Genetic Algorithm. International Journal of Intelligent Systems and Applications. 6(10). 34–40. 3 indexed citations
16.
Umbarkar, A. J., et al.. (2014). Diversity-Based Dual-Population Genetic Algorithm (DPGA): A Review. Advances in intelligent systems and computing. 219–229. 1 indexed citations
17.
Umbarkar, A. J. & Madhuri S. Joshi. (2013). REVIEW OF PARALLEL GENETIC ALGORITHM BASED ON COMPUTING PARADIGM AND DIVERSITY IN SEARCH SPACE. ICTACT Journal on Soft Computing. 3(4). 615–622. 15 indexed citations
18.
Umbarkar, A. J., et al.. (2013). GENETIC ALGORITHM ON GENERAL PURPOSE GRAPHICS PROCESSING UNIT: PARALLELISM REVIEW. ICTACT Journal on Soft Computing. 3(2). 492–497. 2 indexed citations
19.
Manvi, Sunilkumar S., et al.. (2013). Multicast Routing for Mobile Ad-Hoc Networks using Swarm Intelligence. 5 indexed citations
20.
Umbarkar, A. J., et al.. (2010). Wave steganography. 3. 1–5. 2 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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