Sachin Goyal

1.7k total citations
99 papers, 1.0k citations indexed

About

Sachin Goyal is a scholar working on Molecular Biology, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Sachin Goyal has authored 99 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 16 papers in Electrical and Electronic Engineering and 13 papers in Computer Vision and Pattern Recognition. Recurrent topics in Sachin Goyal's work include DNA and Nucleic Acid Chemistry (15 papers), RNA and protein synthesis mechanisms (10 papers) and Vehicle License Plate Recognition (7 papers). Sachin Goyal is often cited by papers focused on DNA and Nucleic Acid Chemistry (15 papers), RNA and protein synthesis mechanisms (10 papers) and Vehicle License Plate Recognition (7 papers). Sachin Goyal collaborates with scholars based in India, United States and Canada. Sachin Goyal's co-authors include Noel C. Perkins, Christopher L. Lee, Harish J. Palanthandalam‐Madapusi, H. A. Ingley, Prabir Barooah, Ragini, Shivani Kapania, Laura Finzi, David Dunlap and Jens‐Christian Meiners and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Sachin Goyal

92 papers receiving 980 citations

Peers

Sachin Goyal
Comparison fields: 5 of 150
  • Molecular Biology 227
  • Control and Systems Engineering 140
  • Biomedical Engineering 125
  • Computer Vision and Pattern Recognition 121
  • Electrical and Electronic Engineering 104
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Citations per field, relative to Sachin Goyal
Sachin Goyal · 1×
Citations per year, relative to Sachin Goyal
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Countries citing papers authored by Sachin Goyal

Since Specialization
Citations

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

Fields of papers citing papers by Sachin Goyal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sachin Goyal

This figure shows the co-authorship network connecting the top 25 collaborators of Sachin Goyal. A scholar is included among the top collaborators of Sachin Goyal 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 Goyal. Sachin Goyal 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
# Work Indexed citations
1 0
2 2
3 1
4 9
5 6
6 10
7
Predicting Student’s Performance Using Data Mining Techniques: A Survey From 2002 To 2020
0
8
Multiple Domain Image to Image Translation for Facial Attribute Transfer
1
9 6
10 1
11 1
12 41
13 18
14 41
15 20
16 27
17 33
18 32
19 8
20 1

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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