Sachin Kumar

535 citations
23 papers · 331 indexed · h-index 7
Topics
Global Educational Reforms and Inequalities (7 papers)COVID-19 diagnosis using AI (7 papers)Anomaly Detection Techniques and Applications (5 papers)
Partner nations
IndiaSaudi ArabiaNepal

In The Last Decade

Sachin Kumar

18 papers receiving 319 citations

Peers

Sachin Kumar
Comparison fields: 5 of 75
  • Radiology, Nuclear Medicine and Imaging 190
  • Artificial Intelligence 169
  • Modeling and Simulation 110
  • Computer Vision and Pattern Recognition 30
  • Epidemiology 29
Replace Sourabh Shastri with:
Sourabh Shastri India
Byung-Won On South Korea
Zohair Malki Saudi Arabia
Qiyang Ge United States
Nusrat Rouf India
Yuting Chi China
Yazeed Zoabi Israel
Julio Cesar Monica Mexico
Jiayang Li China
Santosh Kumar Ray India
Sachin Kumar relative to Sourabh Shastri India Sourabh Shastri's profile →
Citations per field
00.5×1.5×
Sourabh Shastri · 1×
Citations per year

Countries citing papers authored by Sachin Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Sachin Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sachin Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Sachin Kumar. A scholar is included among the top collaborators of Sachin Kumar 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 Sachin Kumar. Sachin Kumar 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 0
5 3
6 1
7 2
8 0
9 3
10 2
11 21
12 36
13 2
14 1
15 11
16 45
17 15
18 7
19 175
20
ETIOLOGY, SYMPTOMS AND TREATMENT OF APERT SYNDROME, A CONGENITAL DISORDER: AN OVERVIEW
3

About Sachin Kumar

Sachin Kumar is a scholar working on Demography, Modeling and Simulation and Health Information Management, having authored 23 papers that have together received 331 indexed citations. Recurring topics across this work include Global Educational Reforms and Inequalities (7 papers), COVID-19 diagnosis using AI (7 papers) and Anomaly Detection Techniques and Applications (5 papers). The work is most often cited by research in Modeling and Simulation (110 citations), Health Informatics (14 citations) and Radiology, Nuclear Medicine and Imaging (190 citations). Sachin Kumar has collaborated with scholars based in India, Saudi Arabia and Nepal. Frequent co-authors include Kuljeet Singh, Vibhakar Mansotra, Sourabh Shastri, Isha Kansal, Rajneesh Rani, Neeraj Mohan, Surbhi Gupta, Anand Sharma, Mohit Singla and Chandan Mukherjee. Their work appears in journals such as Scientific Reports, Virology and Dalton Transactions.

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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