Sachin Kumar

5.5k citations
122 papers · 3.1k indexed · 3 hit papers · h-index 25
Topics
Brain Tumor Detection and Classification (16 papers)Traffic Prediction and Management Techniques (12 papers)AI in cancer detection (12 papers)
Partner nations
IndiaRussiaSaudi Arabia

In The Last Decade

Sachin Kumar

114 papers receiving 2.9k citations

Hit Papers

Internet of Things is a revolutionary approach for future...2019202620212023201920192021200400600

Peers

Sachin Kumar
Comparison fields: 5 of 162
  • Artificial Intelligence 1.0k
  • Computer Networks and Communications 563
  • Radiology, Nuclear Medicine and Imaging 527
  • Information Systems 459
  • Computer Vision and Pattern Recognition 447
Replace V. Vijayakumar with:
V. Vijayakumar India
N. Z. Jhanjhi Malaysia
Sagheer Abbas Pakistan
Abdu Gumaei Saudi Arabia
Tarik A. Rashid Iraq
Salama A. Mostafa Malaysia
Muhammad Umer Pakistan
Abdul Rehman Javed Pakistan
Xiaokang Zhou Japan
Xiao‐Zhi Gao Finland
Sachin Kumar relative to V. Vijayakumar India V. Vijayakumar's profile →
Citations per field
00.5×2.6×
V. Vijayakumar · 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 1
2 5
3 0
4 7
5 1
6 4
7 24
8 7
9 5
10 49
11 12
12 1
13 2
14 16
15 16
16 14
17 5
18 22
19 0
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Artificial Neural Network (ANN): Application in media optimization for industrialmicrobiology and comparison with response surface methodology (RSM)
9

About Sachin Kumar

Sachin Kumar is a scholar working on Neurology, Artificial Intelligence and Health Informatics, having authored 122 papers that have together received 3.1k indexed citations. Recurring topics across this work include Brain Tumor Detection and Classification (16 papers), Traffic Prediction and Management Techniques (12 papers) and AI in cancer detection (12 papers). The work is most often cited by research in Neurology (308 citations), Health Informatics (46 citations) and Artificial Intelligence (1.0k citations). Sachin Kumar has collaborated with scholars based in India, Russia and Saudi Arabia. Frequent co-authors include Prayag Tiwari, Mikhail Zymbler, Durga Toshniwal, Deepak Gupta, Ashish Khanna, Amit Kumar Jaiswal, Romany F. Mansour, Joel J. P. C. Rodrigues, Pradeep Kumar Mallick and K. Shankar. Their work appears in journals such as Scientific Reports, Expert Systems with Applications and IEEE Access.

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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