Manish Kumar

1.2k citations
94 papers · 681 · h-index 13

Impact in

Papers in

Manish Kumar

80 papers receiving 659 citations

Peers

Manish Kumar
Comparison fields: 5 of 115
  • Industrial and Manufacturing Engineering 143
  • Health Information Management 36
  • Computer Vision and Pattern Recognition 150
  • Computer Networks and Communications 131
  • Artificial Intelligence 159
Replace Pei Hu with:
Pei Hu China
Rajeev Tiwari India
Juliano Pierezan Brazil
Hussain Al-Aqrabi United Kingdom
Zhi Zeng China
Goran Martinović Croatia
Rajendra Prasad Mahapatra India
Angelo Galiano Italy
Kunal Gupta India
Zeinab Montazeri Iran
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Citations per field
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Citations per year

Countries citing papers authored by Manish Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Manish Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 94 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201393
2 200754
3 202050
4 201336
5 202327
6 202325
7 201320
8 201618
9 202317
10 201115
11 202415
12 202313
13 202512
14 201812
15 202411
16 201811
17 201411
18 202111
19 201711
20 202010

About Manish Kumar

Manish Kumar is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications, Artificial Intelligence, Industrial and Manufacturing Engineering and Information Systems, having authored 94 papers that have together received 681 indexed citations. Recurring topics across this work include Vehicle Routing Optimization Methods (11 papers), Image and Signal Denoising Methods (9 papers), Robotic Path Planning Algorithms (9 papers), Image Enhancement Techniques (5 papers), Distributed Control Multi-Agent Systems (5 papers), Optimization and Search Problems (4 papers), Advanced Image Fusion Techniques (4 papers) and Transportation and Mobility Innovations (4 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (143 citations), Health Information Management (36 citations), Computer Vision and Pattern Recognition (150 citations), Computer Networks and Communications (131 citations) and Artificial Intelligence (159 citations). Manish Kumar has collaborated with scholars based in India, United States and South Korea. Frequent co-authors include Elad H. Kivelevitch, Sudhanshu Mishra, Kelly Cohen, Sushil Kumar Singh, Devendra P. Garg, Dilip Kumar Choubey, Vaibhav Shukla, Sudhakar Tripathi, Vinay Kumar Dhandhania and Sunggon Kim. Their work appears in journals such as IEEE Internet of Things Journal, Future Generation Computer Systems, International Journal for Numerical Methods in Biomedical Engineering, Current Pharmaceutical Biotechnology and IEEE Access.

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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