Ashish Anand
- Artificial Intelligence top 2%
- Molecular Biology
- Computational Theory and Mathematics top 2%
- Computer Vision and Pattern Recognition top 10%
- Electrical and Electronic Engineering
- Co-authors
- Kalyanmoy DebDhiraj JoshiSunil Kumar SahuPonnuthurai Nagaratnam SuganthanGanesan PugalenthiGary B. FogelKusum SinghDesh Raj
- Topics
- Machine Learning in Bioinformatics (8 papers)Topic Modeling (8 papers)Bioinformatics and Genomic Networks (8 papers)
- Partner nations
- IndiaSingaporeUnited States
In The Last Decade
Ashish Anand
50 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 148
- Artificial Intelligence 682
- Molecular Biology 401
- Computational Theory and Mathematics 312
- Computer Vision and Pattern Recognition 97
- Electrical and Electronic Engineering 80
Countries citing papers authored by Ashish Anand
This map shows the geographic impact of Ashish Anand'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 Ashish Anand with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ashish Anand more than expected).
Fields of papers citing papers by Ashish Anand
This network shows the impact of papers produced by Ashish Anand. 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 Ashish Anand. The network helps show where Ashish Anand may publish in the future.
Co-authorship network of co-authors of Ashish Anand
This figure shows the co-authorship network connecting the top 25 collaborators of Ashish Anand. A scholar is included among the top collaborators of Ashish Anand 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 Ashish Anand. Ashish Anand is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 11 | |
| 7 | 5 | |
| 8 | 6 | |
| 9 | 134 | |
| 10 | 23 | |
| 11 | 15 | |
| 12 | 121 | |
| 13 | 1 | |
| 14 | 26 | |
| 15 | 24 | |
| 16 | 53 | |
| 17 | 2 | |
| 18 | Development of a bio-sensing technique for the detection of prions in foods | 1 |
| 19 | 43 | |
| 20 | 20 |
About Ashish Anand
Ashish Anand is a scholar working on Medical Laboratory Technology, Artificial Intelligence and Molecular Biology, having authored 55 papers that have together received 1.2k indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (8 papers), Topic Modeling (8 papers) and Bioinformatics and Genomic Networks (8 papers). The work is most often cited by research in Artificial Intelligence (682 citations), Computational Theory and Mathematics (312 citations) and Molecular Biology (401 citations). Ashish Anand has collaborated with scholars based in India, Singapore and United States. Frequent co-authors include Kalyanmoy Deb, Dhiraj Joshi, Sunil Kumar Sahu, Ponnuthurai Nagaratnam Suganthan, Ganesan Pugalenthi, Gary B. Fogel, Kusum Singh, Desh Raj, William A. Jiranek and Venkata Dasu Veeranki. Their work appears in journals such as Nucleic Acids Research, Analytical Biochemistry and Journal of Theoretical Biology.
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.