Shikhar Vashishth

967 total citations
13 papers, 229 citations indexed

About

Shikhar Vashishth is a scholar working on Artificial Intelligence, Molecular Biology and Computer Networks and Communications. According to data from OpenAlex, Shikhar Vashishth has authored 13 papers receiving a total of 229 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 3 papers in Molecular Biology and 1 paper in Computer Networks and Communications. Recurrent topics in Shikhar Vashishth's work include Natural Language Processing Techniques (9 papers), Topic Modeling (6 papers) and Biomedical Text Mining and Ontologies (3 papers). Shikhar Vashishth is often cited by papers focused on Natural Language Processing Techniques (9 papers), Topic Modeling (6 papers) and Biomedical Text Mining and Ontologies (3 papers). Shikhar Vashishth collaborates with scholars based in India, United States and Canada. Shikhar Vashishth's co-authors include Partha Talukdar, Rishabh Joshi, Chiranjib Bhattacharyya, Swayambhu Nath Ray, Carolyn Penstein Rosé, Shib Sankar Dasgupta, Prateek Yadav, Yash Sinha, Cliff Wong and Sheng Zhang and has published in prestigious journals such as Journal of Biomedical Informatics, Empirical Methods in Natural Language Processing and arXiv (Cornell University).

In The Last Decade

Shikhar Vashishth

12 papers receiving 215 citations

Peers

Shikhar Vashishth
Comparison fields: 5 of 30
  • Artificial Intelligence 207
  • Molecular Biology 49
  • Computer Vision and Pattern Recognition 20
  • Management Science and Operations Research 15
  • Information Systems 13
Replace Anne-Lyse Minard with:
Anne-Lyse Minard France
Ehsan Shareghi Australia
Minh C. Phan Singapore
Peng-Hsuan Li Taiwan
Benfeng Xu China
Samuel Broscheit Germany
Leonhard Hennig Germany
Daniele Vannella Italy
David Burkett United States
Anne-Lyse Minard France View profile →
Citations per field, relative to Shikhar Vashishth
Shikhar Vashishth · 1×
Citations per year, relative to Shikhar Vashishth
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Countries citing papers authored by Shikhar Vashishth

Since Specialization
Citations

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

Fields of papers citing papers by Shikhar Vashishth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shikhar Vashishth

This figure shows the co-authorship network connecting the top 25 collaborators of Shikhar Vashishth. A scholar is included among the top collaborators of Shikhar Vashishth 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 Shikhar Vashishth. Shikhar Vashishth is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
# Work Indexed citations
1 0
2 2
3 1
4 4
5 12
6 16
7
MedType: Improving Medical Entity Linking with Semantic Type Prediction.
7
8 1
9 12
10
Graph Convolutional Networks based Word Embeddings.
3
11 143
12 21
13 7

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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2026