Tarun Jain

1.7k total citations
107 papers, 1.2k citations indexed

About

Tarun Jain is a scholar working on Artificial Intelligence, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Tarun Jain has authored 107 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 19 papers in Surgery and 16 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Tarun Jain's work include Sentiment Analysis and Opinion Mining (12 papers), Artificial Intelligence in Healthcare (6 papers) and Adrenal and Paraganglionic Tumors (5 papers). Tarun Jain is often cited by papers focused on Sentiment Analysis and Opinion Mining (12 papers), Artificial Intelligence in Healthcare (6 papers) and Adrenal and Paraganglionic Tumors (5 papers). Tarun Jain collaborates with scholars based in India, United States and United Kingdom. Tarun Jain's co-authors include B. Jayaram, Rohit Karnik, Ricardo Guerrero, Juan Carlos Idrobo, Michael S. H. Boutilier, Sean C. O’Hern, Vivek Kumar Verma, Carlos A. Aguilar, Bhagwant Rai Mittal and Punit Sharma and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and Nature Nanotechnology.

In The Last Decade

Tarun Jain

91 papers receiving 1.1k citations

Peers

Tarun Jain
Comparison fields: 5 of 159
  • Molecular Biology 310
  • Biomedical Engineering 296
  • Materials Chemistry 191
  • Electrical and Electronic Engineering 146
  • Artificial Intelligence 129
Jun Tang China
Hiroyuki Kurata Japan
Juan Meng China
Jingyi Jin China
Mika Sato Japan
Mingyan Zhang China
Wei Ouyang China
Xinmei Wang China
Chao Duan China
Sheng‐Hung Wang Taiwan
Jun Tang China View profile →
Citations per field, relative to Tarun Jain
Tarun Jain · 1×
Citations per year, relative to Tarun Jain
Tarun Jain · 1×

Countries citing papers authored by Tarun Jain

Since Specialization
Citations

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

Fields of papers citing papers by Tarun Jain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tarun Jain

This figure shows the co-authorship network connecting the top 25 collaborators of Tarun Jain. A scholar is included among the top collaborators of Tarun 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 Tarun Jain. Tarun 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 0
2 0
3 2
4 1
5 3
6 7
7 3
8 10
9 1
10 5
11 2
12
Genetic Algorithm as a General Approach to Time Tabling Problem
0
13 2
14 0
15 1
16 6
17 1
18 26
19 11
20 4

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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