Sarthak Jain

1.4k total citations
20 papers, 402 citations indexed

About

Sarthak Jain is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Sarthak Jain has authored 20 papers receiving a total of 402 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 3 papers in Molecular Biology. Recurrent topics in Sarthak Jain's work include Topic Modeling (8 papers), Natural Language Processing Techniques (6 papers) and Spam and Phishing Detection (2 papers). Sarthak Jain is often cited by papers focused on Topic Modeling (8 papers), Natural Language Processing Techniques (6 papers) and Spam and Phishing Detection (2 papers). Sarthak Jain collaborates with scholars based in United States, India and Mexico. Sarthak Jain's co-authors include Byron Wallace, Gopal Krishna Nayak, Biswajit Jena, Sanjay Saxena, Pouya Pezeshkpour, Sandra E. Safo, Sagar Kamarthi, Sameer Singh, Nitish V. Thakor and Rahul R. Kaliki and has published in prestigious journals such as Briefings in Bioinformatics, Journal of the American Heart Association and Multimedia Tools and Applications.

In The Last Decade

Sarthak Jain

18 papers receiving 381 citations

Peers

Sarthak Jain
Comparison fields: 5 of 72
  • Artificial Intelligence 307
  • Computer Vision and Pattern Recognition 93
  • Information Systems 30
  • Molecular Biology 23
  • Biomedical Engineering 16
Replace Xiaofei Ma with:
Xiaofei Ma China
Chaoqi Yang United States
Meshrif Alruily Saudi Arabia
Erdenebileg Batbaatar South Korea
Adil Alpkoçak Türkiye
Bernd Malle Austria
Hanjie Chen United States
Sirui Wang China
Jörg Schlötterer Germany
Jiaoyun Yang China
Xiaofei Ma China View profile →
Citations per field, relative to Sarthak Jain
Sarthak Jain · 1×
Citations per year, relative to Sarthak Jain
Sarthak Jain · 1×

Countries citing papers authored by Sarthak Jain

Since Specialization
Citations

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

Fields of papers citing papers by Sarthak Jain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sarthak Jain

This figure shows the co-authorship network connecting the top 25 collaborators of Sarthak Jain. A scholar is included among the top collaborators of Sarthak Jain 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 Sarthak Jain. Sarthak Jain 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 5
2 0
3 5
4 0
5 26
6 5
7 4
8 13
9 2
10 19
11 8
12 1
13
229
14 7
15
Detecting Twitter posts with Adverse Drug Reactions using Convolutional Neural Networks.
2
16 46
17 1
18
Hierarchical classification for Multilingual Language Identification and Named Entity Recognition.
1
19 17
20 11

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026