Sandeep Kumar

3.0k citations
138 papers · 1.4k · h-index 18

Impact in

Papers in

Sandeep Kumar

124 papers receiving 1.3k citations

Peers

Sandeep Kumar
Comparison fields: 5 of 154
  • Modeling and Simulation 146
  • Artificial Intelligence 445
  • Computer Networks and Communications 206
  • Computer Vision and Pattern Recognition 163
  • Health Informatics 10
Replace Dac‐Nhuong Le with:
Dac‐Nhuong Le Vietnam
Ramesh Chandra Poonia India
Mostafa A. Elhosseini Egypt
Linesh Raja India
Vijander Singh India
Hosam Alhakami Saudi Arabia
Ag Asri Ag Ibrahim Malaysia
Hussain AlSalman Saudi Arabia
Sharaf J. Malebary Saudi Arabia
Abdullah Baz Saudi Arabia
Sandeep Kumar relative to Dac‐Nhuong Le Vietnam Dac‐Nhuong Le's profile →
Citations per field
00.5×1.5×2.1×
Dac‐Nhuong Le · 1×
Citations per year

Countries citing papers authored by Sandeep Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Sandeep Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Sandeep Kumar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sandeep Kumar Line = papers co-authored together Sandeep Kumar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 138 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020137
2 202088
3 201884
4 202182
5 202149
6 202344
7 202136
8 202136
9 202035
10 202034
11 202034
12 201833
13 201132
14 202127
15 201325
16 202024
17 201221
18 201518
19 202017
20 202415

About Sandeep Kumar

Sandeep Kumar is a scholar working on Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition, Information Systems and Electrical and Electronic Engineering, having authored 138 papers that have together received 1.4k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (27 papers), Evolutionary Algorithms and Applications (18 papers), Advanced Multi-Objective Optimization Algorithms (10 papers), Sentiment Analysis and Opinion Mining (9 papers), Energy Efficient Wireless Sensor Networks (8 papers), Face and Expression Recognition (6 papers), Mobile Ad Hoc Networks (6 papers) and Advanced Image and Video Retrieval Techniques (4 papers). The work is most often cited by research in Modeling and Simulation (146 citations), Artificial Intelligence (445 citations), Computer Networks and Communications (206 citations), Computer Vision and Pattern Recognition (163 citations) and Health Informatics (10 citations). Sandeep Kumar has collaborated with scholars based in India, Vietnam and Saudi Arabia. Frequent co-authors include Ramesh Chandra Poonia, Vijander Singh, Rajani Kumari, Vaibhav Bhatnagar, Linesh Raja, Vivek Kumar Sharma, Pranav Dass, Pankaj Agarwal, Anand Nayyar and Harish Sharma. Their work appears in journals such as IEEE Access, Computers, materials & continua/Computers, materials & continua (Print), Multimedia Tools and Applications, Evolutionary Intelligence and Journal of Computational Biology.

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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