Srinivas Aluru
Impact in
- Endocrinology top 1%
- Molecular Medicine top 1%
Papers in
-
- Parallel Computing and Optimization Techniques 13
- Co-authors
- Chirag JainAdam M. PhillippyLuis M. Rodriguez‐RKonstantinos T. KonstantinidisSanchit MisraHeng LiJarosław ŻolaSriram P. Chockalingam
- Journals
- IEEE Transactions on Parallel and Distributed Systems (11 papers)Bioinformatics (8 papers)Journal of Parallel and Distributed Computing (8 papers)Journal of Computational Biology (7 papers)BMC Bioinformatics (6 papers)
- Partner nations
- United StatesIndiaGermany
In The Last Decade
Srinivas Aluru
163 papers receiving 7.0k citations
Hit Papers
Peers
Comparison fields: 5 of 170
- Endocrinology 369
- Molecular Medicine 303
- Molecular Biology 4.2k
- Plant Science 2.1k
- Ecology 1.4k
Countries citing papers authored by Srinivas Aluru
This map shows the geographic impact of Srinivas Aluru'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 Srinivas Aluru with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Srinivas Aluru more than expected).
Fields of papers citing papers by Srinivas Aluru
This network shows the impact of papers produced by Srinivas Aluru. 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 Srinivas Aluru. The network helps show where Srinivas Aluru may publish in the future.
Co-authors
The 25 scholars most cited alongside Srinivas Aluru, 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 | 2023 | 1 | |
| 2 | 2023 | 2 | |
| 3 | 2023 | 10 | |
| 4 | 2021 | 6 | |
| 5 | 2021 | 78 | |
| 6 | 2021 | 42 | |
| 7 | 2019 | 2 | |
| 8 | 2019 | 1 | |
| 9 | 2018 | 85 | |
| 10 | 2018 | 5 | |
| 11 | 2017 | 15 | |
| 12 | 2017 | 214 | |
| 13 | 2017 | 17 | |
| 14 | 2011 | 1 | |
| 15 | PARALLEL-TCOFFEE: A parallel multiple sequence aligner. | 2007 | 13 |
| 16 | Indexing for Subscription Covering in Publish-Subscribe Systems. | 2005 | 17 |
| 17 | Handbook of Computational Molecular Biology (Chapman & All/Crc Computer and Information Science Series) | 2005 | 16 |
| 18 | A tunable collective communication framework on a cluster of SMPS. | 2004 | 3 |
| 19 | 2002 | 16 | |
| 20 | Properties of Binomial Coefficients and Implications to Parallelizing Lagged Fibonacci Random Number Generators. | 1995 | 3 |
About Srinivas Aluru
Srinivas Aluru is a scholar working on Hardware and Architecture, Computational Mathematics, Artificial Intelligence, Computer Graphics and Computer-Aided Design and Molecular Biology, having authored 170 papers that have together received 7.1k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (73 papers), Algorithms and Data Compression (71 papers), RNA and protein synthesis mechanisms (21 papers), Gene expression and cancer classification (19 papers), Chromosomal and Genetic Variations (18 papers), Bioinformatics and Genomic Networks (16 papers), Parallel Computing and Optimization Techniques (13 papers) and Gene Regulatory Network Analysis (13 papers). The work is most often cited by research in Endocrinology (369 citations), Molecular Medicine (303 citations), Molecular Biology (4.2k citations), Plant Science (2.1k citations) and Ecology (1.4k citations). Srinivas Aluru has collaborated with scholars based in United States, India and Germany. Frequent co-authors include Chirag Jain, Adam M. Phillippy, Luis M. Rodriguez‐R, Konstantinos T. Konstantinidis, Sanchit Misra, Heng Li, Jarosław Żola, Sriram P. Chockalingam, Xiao Yang and Maneesha Aluru. Their work appears in journals such as IEEE Transactions on Parallel and Distributed Systems, Bioinformatics, Journal of Parallel and Distributed Computing, Journal of Computational Biology and BMC Bioinformatics.
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.