Sanjeev Thakur

413 citations
34 papers · 225 indexed · h-index 10

Sanjeev Thakur

28 papers receiving 199 citations

Peers

Sanjeev Thakur
Comparison fields: 5 of 72
  • Health Information Management 19
  • Computer Networks and Communications 67
  • Signal Processing 26
  • Ophthalmology 21
  • Information Systems 46
Replace Mohamed Yaseen Jabarulla with:
Mohamed Yaseen Jabarulla South Korea
Nikhat Parveen India
Hannan Bin Liaqat Pakistan
Giridhar Reddy Bojja United States
Rajkumar Rajavel India
R Mahaveerakannan India
Nidhi Agarwal India
Kazi Istiaque Ahmed Malaysia
Mengying Xu China
Mehmood Ali Mohammed United States
Sanjeev Thakur relative to Mohamed Yaseen Jabarulla South Korea Mohamed Yaseen Jabarulla's profile →
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Citations per year

Countries citing papers authored by Sanjeev Thakur

Since Specialization
Citations

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

Fields of papers citing papers by Sanjeev Thakur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 21 scholars most cited alongside Sanjeev Thakur, 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 Sanjeev Thakur Line = papers co-authored together Sanjeev Thakur links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 20230
4 202312
5 202210
6 202224
7 20224
8 20220
9 202211
10 202110
11 20217
12 202125
13 20171
14 20177
15 20175
16 201620
17 20160
18 201517
19 20151
20
Leaching of overloaded and unlined drains through the ground water in Delhi.
20122

About Sanjeev Thakur

Sanjeev Thakur is a scholar working on Health Information Management, Computer Networks and Communications and Ophthalmology, having authored 34 papers that have together received 225 indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (5 papers), Retinal Diseases and Treatments (4 papers), Artificial Intelligence in Healthcare (4 papers), Brain Tumor Detection and Classification (3 papers), Advanced Malware Detection Techniques (3 papers), Topic Modeling (2 papers), Advanced Data Compression Techniques (2 papers) and Network Security and Intrusion Detection (2 papers). The work is most often cited by research in Health Information Management (19 citations), Computer Networks and Communications (67 citations) and Signal Processing (26 citations). Sanjeev Thakur has collaborated with scholars based in India, United Kingdom and United Arab Emirates. Frequent co-authors include Ashutosh Gupta, Shubhi Gupta, Achyut Shankar, Piyush Kumar, Thompson Stephan, Nishant Kumar Singh, Shweta Yadav, Ajay Rana, Xiaochun Cheng and Alka Chaudhary. Their work appears in journals such as Multimedia Tools and Applications, Computers & Electrical Engineering and Indian Journal of Science and Technology.

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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