K. Uday Kumar

1.4k citations
58 papers · 950 · h-index 20

Impact in

Papers in

K. Uday Kumar

53 papers receiving 944 citations

Peers

K. Uday Kumar
Comparison fields: 5 of 52
  • Polymers and Plastics 508
  • Biomedical Engineering 774
  • Electronic, Optical and Magnetic Materials 247
  • Cognitive Neuroscience 132
  • Electrical and Electronic Engineering 214
Replace Linards Lapčinskis with:
Linards Lapčinskis Latvia
Rayyan Ali Shaukat South Korea
Qingsong Lai China
Supraja Potu India
Gagan Bahadur Pradhan South Korea
Guoli Du China
Guanbo Min United Kingdom
Shuxuan Feng China
Ruiyuan Mao China
Xiangjiang Meng China
K. Uday Kumar relative to Linards Lapčinskis Latvia Linards Lapčinskis's profile →
Citations per field
00.5×3.8×
Linards Lapčinskis · 1×
Citations per year

Countries citing papers authored by K. Uday Kumar

Since Specialization
Citations

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

Fields of papers citing papers by K. Uday Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202376
2 202462
3 202262
4 202449
5 202349
6 202344
7 202437
8 202335
9 202235
10 202331
11 202431
12 202424
13 202324
14 202223
15 202522
16 202422
17 202321
18 202321
19 202320
20 202319

About K. Uday Kumar

K. Uday Kumar is a scholar working on Biomedical Engineering, Polymers and Plastics, Electronic, Optical and Magnetic Materials, Electrical and Electronic Engineering and Materials Chemistry, having authored 58 papers that have together received 950 indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (40 papers), Conducting polymers and applications (37 papers), Supercapacitor Materials and Fabrication (19 papers), Tactile and Sensory Interactions (6 papers), Gas Sensing Nanomaterials and Sensors (6 papers), Innovative Energy Harvesting Technologies (4 papers), Luminescence Properties of Advanced Materials (3 papers) and Dielectric materials and actuators (3 papers). The work is most often cited by research in Polymers and Plastics (508 citations), Biomedical Engineering (774 citations), Electronic, Optical and Magnetic Materials (247 citations), Cognitive Neuroscience (132 citations) and Electrical and Electronic Engineering (214 citations). K. Uday Kumar has collaborated with scholars based in India, South Korea and Denmark. Frequent co-authors include R. Rakesh Kumar, Anjaly Babu, Supraja Potu, D. Haranath, Navaneeth Madathil, Prakash Kodali, Anu Kulandaivel, Siju Mishra, Hitesh Borkar and Kushal Ruthvik Kaja. Their work appears in journals such as Materials Letters, Energy Technology, Materials Advances, ACS Applied Electronic Materials and ACS Sustainable Chemistry & Engineering.

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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