Sandeep Kautish

2.2k citations
64 papers · 906 indexed · h-index 21
Topics
IoT and Edge/Fog Computing (11 papers)COVID-19 diagnosis using AI (7 papers)Network Security and Intrusion Detection (6 papers)
Partner nations
IndiaSaudi ArabiaEgypt

In The Last Decade

Sandeep Kautish

58 papers receiving 844 citations

Peers

Sandeep Kautish
Comparison fields: 5 of 115
  • Artificial Intelligence 304
  • Computer Networks and Communications 236
  • Computer Vision and Pattern Recognition 163
  • Information Systems 161
  • Radiology, Nuclear Medicine and Imaging 98
Replace Ramgopal Kashyap with:
Ramgopal Kashyap India
Ahmad Ali AlZubi Saudi Arabia
Muhammad Arif China
Hesham Alhumyani Saudi Arabia
Faten Khalid Karim Saudi Arabia
Muhammad Attique South Korea
Ghaida Muttashar Abdulsahib Iraq
Ahmed A. Elngar Egypt
Hani Alquhayz Saudi Arabia
Sultan H. Almotiri Saudi Arabia
Sandeep Kautish relative to Ramgopal Kashyap India Ramgopal Kashyap's profile →
Citations per field
00.5×6.6×
Ramgopal Kashyap · 1×
Citations per year

Countries citing papers authored by Sandeep Kautish

Since Specialization
Citations

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

Fields of papers citing papers by Sandeep Kautish

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sandeep Kautish

This figure shows the co-authorship network connecting the top 25 collaborators of Sandeep Kautish. A scholar is included among the top collaborators of Sandeep Kautish based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sandeep Kautish. Sandeep Kautish is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 0
4 1
5 5
6 2
7 17
8 37
9 24
10 6
11 23
12 21
13 16
14 16
15 27
16 70
17 16
18 9
19 21
20 0

About Sandeep Kautish

Sandeep Kautish is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Signal Processing, having authored 64 papers that have together received 906 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (11 papers), COVID-19 diagnosis using AI (7 papers) and Network Security and Intrusion Detection (6 papers). The work is most often cited by research in Health Informatics (15 citations), Computer Networks and Communications (236 citations) and Artificial Intelligence (304 citations). Sandeep Kautish has collaborated with scholars based in India, Saudi Arabia and Egypt. Frequent co-authors include Gaurav Dhiman, Sapna Juneja, Ali Wagdy Mohamed, Wattana Viriyasitavat, Kusum Yadav, Ramandeep Kaur, Yasser Alharbi, Ankit Vidyarthi, G. Madhu and Deepali Gupta. Their work appears in journals such as Scientific Reports, IEEE Access 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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