Rajendra Akerkar

1.8k total citations · 1 hit paper
46 papers, 1.1k citations indexed

About

Rajendra Akerkar is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Rajendra Akerkar has authored 46 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 11 papers in Information Systems and 6 papers in Computer Networks and Communications. Recurrent topics in Rajendra Akerkar's work include Semantic Web and Ontologies (7 papers), Topic Modeling (4 papers) and Evacuation and Crowd Dynamics (4 papers). Rajendra Akerkar is often cited by papers focused on Semantic Web and Ontologies (7 papers), Topic Modeling (4 papers) and Evacuation and Crowd Dynamics (4 papers). Rajendra Akerkar collaborates with scholars based in Norway, China and Japan. Rajendra Akerkar's co-authors include Song Guo, Hoàng Long Nguyễn, Minsung Hong, Zhihao Qu, Haoran Zhang, Yufeng Zhan, Qifeng Liu, Jie Zhang, Deze Zeng and Pawan Lingras and has published in prestigious journals such as Sustainability, IEEE Transactions on Knowledge and Data Engineering and IEEE Transactions on Computers.

In The Last Decade

Rajendra Akerkar

42 papers receiving 1.1k citations

Hit Papers

Nonlinear Functional Analysis 1999 2026 2008 2017 1999 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Nonlinear Functional Analysis
    1999 604 citations Rajendra Akerkar profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rajendra Akerkar Norway 14 573 417 403 193 116 46 1.1k
H. W. Corley United States 15 577 1.0× 380 0.9× 122 0.3× 43 0.2× 10 0.1× 50 1.0k
Claudi Alsina Spain 13 507 0.9× 181 0.4× 178 0.4× 265 1.4× 35 0.3× 66 1.6k
Deepak Kapur United States 26 1.3k 2.4× 83 0.2× 166 0.4× 1.1k 5.8× 162 1.4× 135 2.1k
Johannes Schumacher Netherlands 29 661 1.2× 328 0.8× 228 0.6× 126 0.7× 7 0.1× 159 2.4k
T. E. S. Raghavan United States 19 322 0.6× 81 0.2× 63 0.2× 145 0.8× 20 0.2× 49 1.4k
Anil Nerode United States 23 1.2k 2.1× 44 0.1× 226 0.6× 929 4.8× 55 0.5× 115 2.1k
C. E. Lemke United States 13 780 1.4× 665 1.6× 62 0.2× 172 0.9× 21 0.2× 17 2.0k
A. E. Frazho United States 13 214 0.4× 58 0.1× 76 0.2× 82 0.4× 75 0.6× 63 1.1k
Yao Ouyang China 26 544 0.9× 88 0.2× 152 0.4× 149 0.8× 47 0.4× 76 1.5k
Marc Quincampoix France 24 591 1.0× 254 0.6× 136 0.3× 239 1.2× 2 0.0× 106 1.8k

Countries citing papers authored by Rajendra Akerkar

Since Specialization
Citations

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

Fields of papers citing papers by Rajendra Akerkar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rajendra Akerkar

This figure shows the co-authorship network connecting the top 25 collaborators of Rajendra Akerkar. A scholar is included among the top collaborators of Rajendra Akerkar 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 Rajendra Akerkar. Rajendra Akerkar 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.
Shaikh, Sarang, Ehtesham Hashmi, Sule Yildirim Yayilgan, Mohamed Abomhara, & Rajendra Akerkar. (2025). Improving Text Classification by Fusing Linguistic and Semantic Features. 1–8.
2.
Dong, Chao, Yuben Qu, Rajendra Akerkar, et al.. (2024). Joint Data Retransmission and Client Selection Optimization for Error-Tolerant Federated Learning in AAV Networks. IEEE Transactions on Cognitive Communications and Networking. 11(4). 2275–2288.
3.
Akerkar, Rajendra, et al.. (2024). Hierarchical deep learning framework for automated marine vegetation and fauna analysis using ROV video data. Ecological Informatics. 85. 102966–102966.
4.
Akerkar, Rajendra, et al.. (2023). Privacy-Preserving Human Activity Recognition System for Assisted Living Environments. IEEE Transactions on Artificial Intelligence. 5(5). 2342–2357. 6 indexed citations
5.
Hong, Zicong, et al.. (2022). MSTDB: A Hybrid Storage-Empowered Scalable Semantic Blockchain Database. IEEE Transactions on Knowledge and Data Engineering. 1–17. 17 indexed citations
6.
Zhang, Jie, Song Guo, Zhihao Qu, et al.. (2021). Adaptive Federated Learning on Non-IID Data With Resource Constraint. IEEE Transactions on Computers. 71(7). 1655–1667. 90 indexed citations
7.
Nguyễn, Hoàng Long & Rajendra Akerkar. (2020). Modelling, Measuring, and Visualising Community Resilience: A Systematic Review. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
8.
Hong, Minsung & Rajendra Akerkar. (2019). Victim detection platform in IoT paradigm. Concurrency and Computation Practice and Experience. 33(3). 4 indexed citations
9.
Xu, Ning, Qiong Zhang, Haoran Zhang, et al.. (2019). Global optimization for multi-stage construction of rescue units in disaster response. Sustainable Cities and Society. 51. 101768–101768. 24 indexed citations
10.
Maret, Pierre, Rajendra Akerkar, & Laurent Vercouter. (2015). Web Intelligence and Communities. 1469–1470. 1 indexed citations
11.
Akerkar, Rajendra, Nick Bassiliades, John Davies, & Vadim Ermolayev. (2014). Research and Applications in Web Intelligence, Mining, and Semantics. 1–6. 1 indexed citations
12.
Akerkar, Rajendra, et al.. (2012). Ontology and Ontology Construction: Background and Practices.. 9. 32–41. 4 indexed citations
13.
Akerkar, Rajendra, Pierre Maret, & Laurent Vercouter. (2012). Web intelligence and communities. 1–1. 2 indexed citations
14.
Akerkar, Rajendra, Pierre Maret, & Laurent Vercouter. (2012). Proceedings of the 4th International Workshop on Web Intelligence & Communities. 3 indexed citations
15.
Akerkar, Rajendra, et al.. (2011). Evolving Rules Using Genetic Fuzzy Approach - an Educational Case Study. 2(1). 35–46. 9 indexed citations
16.
Wankar, Rajeev & Rajendra Akerkar. (2009). RECONFIGURABLE ARCHITECTURES AND ALGORITHMS: A RESEARCH SURVEY. 6. 108–123. 2 indexed citations
17.
Akerkar, Rajendra, et al.. (2009). Bio-inspired computing: constituents and challenges. International Journal of Bio-Inspired Computation. 1(3). 135–135. 30 indexed citations
18.
Akerkar, Rajendra & Manish Joshi. (2008). Natural Language Interface Using Shallow Parsing.. 5. 70–90. 10 indexed citations
19.
Joshi, Manish & Rajendra Akerkar. (2008). Algorithms to Improve Performance of Natural Language Interface.. 5. 52–68. 8 indexed citations
20.
Akerkar, Rajendra & Pawan Lingras. (2007). Building an Intelligent Web: Theory and Practice. CERN Document Server (European Organization for Nuclear Research). 24 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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