Ankit Kumar

3.1k citations
209 papers · 1.8k · h-index 23

Impact in

Papers in

Ankit Kumar

182 papers receiving 1.7k citations

Peers

Ankit Kumar
Comparison fields: 5 of 154
  • Computer Networks and Communications 365
  • Computer Vision and Pattern Recognition 305
  • Health Information Management 61
  • Neurology 80
  • Bioengineering 57
Replace Yongqiang Cheng with:
Yongqiang Cheng United Kingdom
Mohsin Raza United Kingdom
Ganesh Ram Sinha India
Samir Brahim Belhaouari Qatar
Mustafa Musa Jaber Iraq
Sathishkumar Veerappampalayam Easwaramoorthy India
Shanmugasundaram Hariharan India
Jun Qi China
Oana Geman Romania
Ankush Ghosh India
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Citations per field
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Yongqiang Cheng · 1×
Citations per year

Countries citing papers authored by Ankit Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Ankit Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ankit 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 Ankit Kumar Line = papers co-authored together Ankit Kumar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 209 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202098
2 202270
3 201963
4 202157
5 202348
6 201946
7 202341
8 201938
9 202336
10 202236
11 201932
12 202332
13 202331
14 202430
15 202329
16 201428
17 202328
18 201927
19 202327
20 202126

About Ankit Kumar

Ankit Kumar is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications, Artificial Intelligence, Information Systems and Electrical and Electronic Engineering, having authored 209 papers that have together received 1.8k indexed citations. Recurring topics across this work include Vehicular Ad Hoc Networks (VANETs) (16 papers), IoT and Edge/Fog Computing (15 papers), Chaos-based Image/Signal Encryption (15 papers), Smart Agriculture and AI (14 papers), Advanced Steganography and Watermarking Techniques (13 papers), Digital Media Forensic Detection (12 papers), Mobile Ad Hoc Networks (11 papers) and Energy Efficient Wireless Sensor Networks (10 papers). The work is most often cited by research in Computer Networks and Communications (365 citations), Computer Vision and Pattern Recognition (305 citations), Health Information Management (61 citations), Neurology (80 citations) and Bioengineering (57 citations). Ankit Kumar has collaborated with scholars based in India, Saudi Arabia and Taiwan. Frequent co-authors include Kamred Udham Singh, Pankaj Dadheech, Saroj Kumar Pandey, Linesh Raja, Teekam Singh, Ramesh Chandra Poonia, Surbhi Bhatia Khan, Vijander Singh, Komal Bapna and Abhishek Kumar. Their work appears in journals such as IEEE Access, Electronics, Scientific Reports, Applied Sciences and Sustainability.

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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