Rajani Kumari

583 citations
32 papers · 299 indexed · h-index 9
Topics
Metaheuristic Optimization Algorithms Research (13 papers)Advanced Multi-Objective Optimization Algorithms (8 papers)Evolutionary Algorithms and Applications (7 papers)
Partner nations
IndiaVietnamAustralia

In The Last Decade

Rajani Kumari

30 papers receiving 283 citations

Peers

Rajani Kumari
Comparison fields: 5 of 76
  • Artificial Intelligence 130
  • Computer Networks and Communications 82
  • Electrical and Electronic Engineering 46
  • Radiology, Nuclear Medicine and Imaging 44
  • Information Systems 34
Replace Kareem Kamal A. Ghany with:
Kareem Kamal A. Ghany Egypt
Vishan Kumar Gupta India
Malek Alrashidi Saudi Arabia
­ Mamta India
Sergiy Yakovlev Ukraine
Shakoor Muhammad Pakistan
R. Vijay Anand India
Sanju Tiwari Mexico
Khalid Alissa Saudi Arabia
Rajani Kumari relative to Kareem Kamal A. Ghany Egypt Kareem Kamal A. Ghany's profile →
Citations per field
00.5×4.1×
Kareem Kamal A. Ghany · 1×
Citations per year

Countries citing papers authored by Rajani Kumari

Since Specialization
Citations

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

Fields of papers citing papers by Rajani Kumari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rajani Kumari

This figure shows the co-authorship network connecting the top 25 collaborators of Rajani Kumari. A scholar is included among the top collaborators of Rajani Kumari 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 Rajani Kumari. Rajani Kumari 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
#WorkIndexed citations
1 1
2 1
3 4
4 1
5 2
6 8
7 81
8 1
9 37
10 2
11 2
12 5
13 26
14 11
15 4
16 1
17 2
18 7
19 6
20 10

About Rajani Kumari

Rajani Kumari is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Modeling and Simulation, having authored 32 papers that have together received 299 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (13 papers), Advanced Multi-Objective Optimization Algorithms (8 papers) and Evolutionary Algorithms and Applications (7 papers). The work is most often cited by research in Modeling and Simulation (32 citations), Artificial Intelligence (130 citations) and Computer Networks and Communications (82 citations). Rajani Kumari has collaborated with scholars based in India, Vietnam and Australia. Frequent co-authors include Sandeep Kumar, Vivek Kumar Sharma, Vijander Singh, Ramesh Chandra Poonia, Linesh Raja, Pankaj Agarwal, Vaibhav Bhatnagar, Anand Nayyar, Vijay Kumar and Pankaj Dadheech. Their work appears in journals such as IEEE Access, Multimedia Tools and Applications and Modern Physics Letters A.

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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