Indu Kashyap

403 citations
42 papers · 211 · h-index 8

Impact in

Papers in

Indu Kashyap

36 papers receiving 191 citations

Peers

Indu Kashyap
Comparison fields: 5 of 61
  • Computer Networks and Communications 83
  • Artificial Intelligence 62
  • Health Information Management 7
  • Electrical and Electronic Engineering 68
  • Information Systems 24
Replace Anvesha Katti with:
Anvesha Katti India
Vivek Veeraiah India
Mehmood Ali Mohammed United States
Sherif Moussa United Arab Emirates
Shailesh Khapre India
Santosh Kumar Das India
Jabeen Nazeer Saudi Arabia
Soma Prathibha India
Arunendra Singh India
M. Anand Kumar India
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Citations per field
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Citations per year

Countries citing papers authored by Indu Kashyap

Since Specialization
Citations

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

Fields of papers citing papers by Indu Kashyap

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 5 scholars most cited alongside Indu Kashyap, 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 Indu Kashyap Line = papers co-authored together Indu Kashyap links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201948
2 201928
3 202210
4 20209
5 20229
6 20218
7 20158
8
Classification Of Medical Image Data Using K Nearest Neighbor And Finding The Optimal K Value
20207
9 20167
10 20216
11 20166
12 20185
13 20185
14 20175
15 20244
16 20164
17 20224
18 20243
19 20123
20 20153

About Indu Kashyap

Indu Kashyap is a scholar working on Computer Networks and Communications, Artificial Intelligence, Electrical and Electronic Engineering, Information Systems and Computer Vision and Pattern Recognition, having authored 42 papers that have together received 211 indexed citations. Recurring topics across this work include Mobile Ad Hoc Networks (9 papers), Wireless Communication Networks Research (6 papers), IPv6, Mobility, Handover, Networks, Security (6 papers), Energy Efficient Wireless Sensor Networks (6 papers), Topic Modeling (5 papers), Text and Document Classification Technologies (5 papers), Vehicular Ad Hoc Networks (VANETs) (4 papers) and Opportunistic and Delay-Tolerant Networks (4 papers). The work is most often cited by research in Computer Networks and Communications (83 citations), Artificial Intelligence (62 citations), Health Information Management (7 citations), Electrical and Electronic Engineering (68 citations) and Information Systems (24 citations). Indu Kashyap has collaborated with scholars based in India and United States. Frequent co-authors include Harmeet Kaur, P. Gupta, Vinita Jindal, Bhoopesh Singh Bhati and Richa Gupta. Their work appears in journals such as The Knowledge Engineering Review, IEEE Access, Wireless Personal Communications, International Journal of Information Technology and International Journal of Computer Network and Information Security.

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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