Ajay
Impact in
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods
- Spectroscopy top 5%
- Analytical Chemistry and Chromatography
Papers in ⓘ
-
- Computational Drug Discovery Methods 8
- Co-authors
- Mark A. Murcko (3 shared papers)W. Patrick Walters (1 shared paper)Guy W. Bemis (2 shared papers)K. P. Soman (1 shared paper)Jeffrey W. Peng (1 shared paper)Jonathan M. Moore (1 shared paper)Jasna Fejzo (1 shared paper)Christopher A. Lepre (1 shared paper)
- Journals
- Journal of Medicinal Chemistry (5 papers)Molecular Cancer Therapeutics (1 paper)Journal of Computational Chemistry (1 paper)Genome biology (1 paper)Chemometrics and Intelligent Laboratory Systems (1 paper)
- Partner nations
- United StatesPoland
In The Last Decade
Ajay
13 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 152
- Computational Theory and Mathematics 799
- Spectroscopy 246
- Molecular Biology 983
- Pharmacology 107
- Organic Chemistry 264
Countries citing papers authored by Ajay
This map shows the geographic impact of Ajay'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 Ajay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ajay more than expected).
Fields of papers citing papers by Ajay
This network shows the impact of papers produced by Ajay. 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 Ajay. The network helps show where Ajay may publish in the future.
Co-authors
The 25 scholars most cited alongside Ajay, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 356 | |
| 2 | 1995 | 271 | |
| 3 | 1999 | 251 | |
| 4 | 1999 | 194 | |
| 5 | Machine Learning with SVM and other Kernel methods | 2009 | 169 |
| 6 | 2003 | 129 | |
| 7 | 2006 | 128 | |
| 8 | 1995 | 69 | |
| 9 | 1993 | 42 | |
| 10 | 2006 | 36 | |
| 11 | 1994 | 16 | |
| 12 | 1990 | 6 | |
| 13 | A novel strategy for automatic test data generation using soft computing technique | 2015 | 1 |
About Ajay
Ajay is a scholar working on Computational Theory and Mathematics, Computer Graphics and Computer-Aided Design, Hardware and Architecture, Molecular Biology and Statistical and Nonlinear Physics, having authored 13 papers that have together received 1.7k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (8 papers), Protein Structure and Dynamics (3 papers), Machine Learning in Materials Science (2 papers), Chemical Synthesis and Analysis (2 papers), Genetic Mapping and Diversity in Plants and Animals (1 paper), 3D Shape Modeling and Analysis (1 paper), Engineering and Test Systems (1 paper) and Microbial Natural Products and Biosynthesis (1 paper). The work is most often cited by research in Computational Theory and Mathematics (799 citations), Spectroscopy (246 citations), Molecular Biology (983 citations), Pharmacology (107 citations) and Organic Chemistry (264 citations). Ajay has collaborated with scholars based in United States and Poland. Frequent co-authors include Mark A. Murcko, W. Patrick Walters, Guy W. Bemis, K. P. Soman, Jeffrey W. Peng, Jonathan M. Moore, Jasna Fejzo, Christopher A. Lepre, Kimberly J. Bussey and William C. Reinhold. Their work appears in journals such as Journal of Medicinal Chemistry, Molecular Cancer Therapeutics, Journal of Computational Chemistry, Genome biology and Chemometrics and Intelligent Laboratory Systems.
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.