Ananth Kalyanaraman

5.1k total citations
44 papers, 506 citations indexed

About

Ananth Kalyanaraman is a scholar working on Molecular Biology, Statistical and Nonlinear Physics and Computer Networks and Communications. According to data from OpenAlex, Ananth Kalyanaraman has authored 44 papers receiving a total of 506 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 13 papers in Statistical and Nonlinear Physics and 10 papers in Computer Networks and Communications. Recurrent topics in Ananth Kalyanaraman's work include Complex Network Analysis Techniques (13 papers), Genomics and Phylogenetic Studies (12 papers) and Bioinformatics and Genomic Networks (10 papers). Ananth Kalyanaraman is often cited by papers focused on Complex Network Analysis Techniques (13 papers), Genomics and Phylogenetic Studies (12 papers) and Bioinformatics and Genomic Networks (10 papers). Ananth Kalyanaraman collaborates with scholars based in United States, Malaysia and Belgium. Ananth Kalyanaraman's co-authors include Mahantesh Halappanavar, Hao Lu, Daniel Chavarría-Miranda, Assefaw H. Gebremedhin, Sayan Ghosh, Antonino Tumeo, Arif Khan, Patrick S. Schnable, Scott Emrich and Partha Pratim Pande and has published in prestigious journals such as Nucleic Acids Research, BMC Bioinformatics and BMC Genomics.

In The Last Decade

Ananth Kalyanaraman

41 papers receiving 497 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ananth Kalyanaraman United States 11 170 163 148 143 68 44 506
Steven Myers United States 13 39 0.2× 158 1.0× 157 1.1× 48 0.3× 169 2.5× 43 615
William H. Hsu United States 14 95 0.6× 79 0.5× 326 2.2× 93 0.7× 203 3.0× 48 647
Maurice Tchuenté France 13 62 0.4× 161 1.0× 122 0.8× 61 0.4× 19 0.3× 61 580
Ariful Azad United States 16 51 0.3× 285 1.7× 261 1.8× 102 0.7× 52 0.8× 59 767
Arnab Bhattacharya India 14 35 0.2× 114 0.7× 230 1.6× 160 1.1× 157 2.3× 67 768
Matthew V. Mahoney United States 16 42 0.2× 879 5.4× 968 6.5× 114 0.8× 112 1.6× 21 1.3k
J. Y. Shi Hong Kong 14 114 0.7× 85 0.5× 217 1.5× 91 0.6× 86 1.3× 40 491
Xiaofan Yang China 14 273 1.6× 234 1.4× 43 0.3× 40 0.3× 48 0.7× 40 744
Paul Cull United States 15 94 0.6× 307 1.9× 127 0.9× 87 0.6× 16 0.2× 62 907
Eran Shir Israel 5 491 2.9× 377 2.3× 187 1.3× 82 0.6× 60 0.9× 5 841

Countries citing papers authored by Ananth Kalyanaraman

Since Specialization
Citations

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

Fields of papers citing papers by Ananth Kalyanaraman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ananth Kalyanaraman

This figure shows the co-authorship network connecting the top 25 collaborators of Ananth Kalyanaraman. A scholar is included among the top collaborators of Ananth Kalyanaraman 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 Ananth Kalyanaraman. Ananth Kalyanaraman 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
1.
Pande, Partha Pratim, et al.. (2025). HpT: Hybrid Acceleration of Spatio-Temporal Attention Model Training on Heterogeneous Manycore Architectures. IEEE Transactions on Parallel and Distributed Systems. 36(3). 407–421.
2.
Fern, Alan, et al.. (2024). Attention-Based Models for Snow-Water Equivalent Prediction. Proceedings of the AAAI Conference on Artificial Intelligence. 38(21). 22969–22975. 4 indexed citations
3.
4.
Ogras, Ümit Y., et al.. (2024). A Dataflow-Aware Network-on-Interposer for CNN Inferencing in the Presence of Defective Chiplets. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 43(11). 4190–4201. 1 indexed citations
5.
Kalyanaraman, Ananth, et al.. (2021). Delta-Screening: A Fast and Efficient Technique to Update Communities in Dynamic Graphs. IEEE Transactions on Network Science and Engineering. 8(2). 1614–1629. 3 indexed citations
6.
Kalyanaraman, Ananth, et al.. (2019). A Visual Analytics Framework for Analysis of Patient Trajectories. 15–24. 2 indexed citations
7.
Abnousi, Armen, Shira L. Broschat, & Ananth Kalyanaraman. (2018). Alignment-free clustering of large data sets of unannotated protein conserved regions using minhashing. BMC Bioinformatics. 19(1). 83–83. 2 indexed citations
8.
Panyala, Ajay, et al.. (2017). Approximate Computing Techniques for Iterative Graph Algorithms. 23–32. 6 indexed citations
9.
Kalyanaraman, Ananth, et al.. (2017). Efficient Detection of Communities in Biological Bipartite Networks. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 16(1). 258–271. 16 indexed citations
10.
11.
Lu, Hao, Mahantesh Halappanavar, Daniel Chavarría-Miranda, et al.. (2016). Algorithms for Balanced Graph Colorings with Applications in Parallel Computing. IEEE Transactions on Parallel and Distributed Systems. 28(5). 1240–1256. 11 indexed citations
12.
Lu, Hao, Mahantesh Halappanavar, Daniel Chavarría-Miranda, Assefaw H. Gebremedhin, & Ananth Kalyanaraman. (2015). Balanced Coloring for Parallel Computing Applications. 7–16. 12 indexed citations
13.
Lu, Hao, Mahantesh Halappanavar, & Ananth Kalyanaraman. (2015). Parallel heuristics for scalable community detection. Parallel Computing. 47. 19–37. 118 indexed citations
14.
Liu, Mingliang, et al.. (2014). Design and Implementation of Kepler Workflows for BioEarth. Procedia Computer Science. 29. 1722–1732. 5 indexed citations
15.
Kalyanaraman, Ananth, et al.. (2014). Parallel algorithms for clustering biological graphs on distributed and shared memory architectures. International Journal of High Performance Computing and Networking. 7(4). 241–241. 9 indexed citations
16.
Kalyanaraman, Ananth, et al.. (2013). Empirical Analysis of Space-Filling Curves for Scientific Computing Applications. 170–179. 6 indexed citations
17.
Kalyanaraman, Ananth, et al.. (2012). Evaluating Socio-Technical Coordination in Open-Source Communities: A Cluster-Based Approach. 277–286. 1 indexed citations
18.
Lau, Audrey O.T., Ananth Kalyanaraman, Ignacio Echaide, et al.. (2011). Attenuation of virulence in an apicomplexan hemoparasite results in reduced genome diversity at the population level. BMC Genomics. 12(1). 410–410. 29 indexed citations
19.
Wu, Changjun, Ananth Kalyanaraman, & William R. Cannon. (2010). A Scalable Parallel Algorithm for Large-Scale Protein Sequence Homology Detection. 5. 333–342. 2 indexed citations
20.
Kalyanaraman, Ananth. (2003). Efficient clustering of large EST data sets on parallel computers. Nucleic Acids Research. 31(11). 2963–2974. 57 indexed citations

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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