Sandeep Kumar

3.0k citations
178 papers · 2.1k · h-index 23

Impact in

Papers in

Sandeep Kumar

159 papers receiving 2.0k citations

Peers

Sandeep Kumar
Comparison fields: 5 of 160
  • Modeling and Simulation 168
  • Artificial Intelligence 770
  • Computer Vision and Pattern Recognition 329
  • Health Information Management 59
  • Computer Networks and Communications 321
Replace Ramesh Chandra Poonia with:
Ramesh Chandra Poonia India
Jyotir Moy Chatterjee India
Dac‐Nhuong Le Vietnam
M. M. Kamruzzaman Saudi Arabia
Madallah Alruwaili Saudi Arabia
Saad Alanazi Saudi Arabia
Dawid Połap Poland
R. Manikandan India
Mabrook Al‐Rakhami Saudi Arabia
Jana Shafi Saudi Arabia
Sandeep Kumar relative to Ramesh Chandra Poonia India Ramesh Chandra Poonia's profile →
Citations per field
00.5×3.5×
Ramesh Chandra Poonia · 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 178 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020164
2 2018125
3 2020113
4 2021100
5 201872
6 202158
7 202152
8 202344
9 202042
10 202141
11 202140
12 201839
13 202039
14 202036
15 202035
16 201132
17 201330
18 201929
19 201727
20 201525

About Sandeep Kumar

Sandeep Kumar is a scholar working on Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Information Systems, having authored 178 papers that have together received 2.1k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (40 papers), Evolutionary Algorithms and Applications (26 papers), Advanced Multi-Objective Optimization Algorithms (13 papers), Robotic Path Planning Algorithms (11 papers), Energy Efficient Wireless Sensor Networks (10 papers), Mobile Ad Hoc Networks (9 papers), Sentiment Analysis and Opinion Mining (9 papers) and Face and Expression Recognition (7 papers). The work is most often cited by research in Modeling and Simulation (168 citations), Artificial Intelligence (770 citations), Computer Vision and Pattern Recognition (329 citations), Health Information Management (59 citations) and Computer Networks and Communications (321 citations). Sandeep Kumar has collaborated with scholars based in India, Vietnam and Saudi Arabia. Frequent co-authors include Ramesh Chandra Poonia, Rajani Kumari, Vijander Singh, Anand Nayyar, Linesh Raja, Vivek Kumar Sharma, Vaibhav Bhatnagar, Harish Sharma, Pranav Dass and Pankaj Agarwal. Their work appears in journals such as IEEE Access, Multimedia Tools and Applications, Computers, materials & continua/Computers, materials & continua (Print), Evolutionary Intelligence and Big Data.

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.

Explore authors with similar magnitude of impact