Ananth Kalyanaraman

3.0k total citations
77 papers, 593 citations indexed

About

Ananth Kalyanaraman is a scholar working on Computer Networks and Communications, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Ananth Kalyanaraman has authored 77 papers receiving a total of 593 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computer Networks and Communications, 22 papers in Molecular Biology and 15 papers in Artificial Intelligence. Recurrent topics in Ananth Kalyanaraman's work include Textile materials and evaluations (15 papers), Interconnection Networks and Systems (14 papers) and Genomics and Phylogenetic Studies (13 papers). Ananth Kalyanaraman is often cited by papers focused on Textile materials and evaluations (15 papers), Interconnection Networks and Systems (14 papers) and Genomics and Phylogenetic Studies (13 papers). Ananth Kalyanaraman collaborates with scholars based in United States, India and Israel. Ananth Kalyanaraman's co-authors include Partha Pratim Pande, J. A. Bertrand, Mahantesh Halappanavar, Changjun Wu, William R. Cannon, Marco Minutoli, Antonino Tumeo, Hao Lu, D. Royer and Alex Pothen and has published in prestigious journals such as Journal of the American Chemical Society, Nucleic Acids Research and Bioinformatics.

In The Last Decade

Ananth Kalyanaraman

67 papers receiving 546 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 16 142 138 110 67 66 77 593
Jens Dietrich New Zealand 22 192 1.4× 338 2.4× 394 3.6× 23 0.3× 40 0.6× 96 1.5k
Changxi Li China 15 198 1.4× 99 0.7× 35 0.3× 16 0.2× 16 0.2× 57 686
Jing Tao China 16 27 0.2× 261 1.9× 270 2.5× 23 0.3× 198 3.0× 93 940
Hengwei Zhang China 17 50 0.4× 265 1.9× 105 1.0× 122 1.8× 23 0.3× 88 764
Zhenfeng Zhang China 18 277 2.0× 188 1.4× 166 1.5× 28 0.4× 31 0.5× 59 753
Zhaohui Li China 12 107 0.8× 45 0.3× 87 0.8× 21 0.3× 117 1.8× 86 673
Young‐Rae Cho United States 17 566 4.0× 31 0.2× 89 0.8× 31 0.5× 59 0.9× 79 935
Sumit Mittal India 14 167 1.2× 103 0.7× 58 0.5× 22 0.3× 61 0.9× 73 578

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.
Minutoli, Marco, et al.. (2025). GreediRIS: Scalable influence maximization using distributed streaming maximum cover. Journal of Parallel and Distributed Computing. 198. 105037–105037. 1 indexed citations
2.
Joardar, Biresh Kumar, et al.. (2024). FARe: Fault-Aware GNN Training on ReRAM-Based PIM Accelerators. 1–6. 2 indexed citations
3.
Minutoli, Marco, et al.. (2024). FuseIM: Fusing Probabilistic Traversals for Influence Maximization on Exascale Systems. 38–49. 1 indexed citations
4.
Fern, Alan, et al.. (2024). AgAID Institute—AI for agricultural labor and decision support. AI Magazine. 45(1). 99–104.
5.
Kalyanaraman, Ananth, et al.. (2023). Analysis of cytosine deamination events in excision repair sequencing reads reveals mechanisms of incision site selection in NER. Nucleic Acids Research. 52(4). 1720–1735. 4 indexed citations
6.
Kalyanaraman, Ananth, et al.. (2023). An Efficient Parallel Sketch-based Algorithm for Mapping Long Reads to Contigs. 157–166. 1 indexed citations
7.
Kalyanaraman, Ananth, et al.. (2022). Dynamic Community Detection Decouples Multiple Time Scale Behavior of Complex Chemical Systems. Journal of Chemical Theory and Computation. 18(12). 7043–7051. 4 indexed citations
8.
Sukumaran-Rajam, Aravind, et al.. (2022). Software/Hardware Co-design of 3D NoC-based GPU Architectures for Accelerated Graph Computations. ACM Transactions on Design Automation of Electronic Systems. 27(6). 1–22. 5 indexed citations
9.
Sukumaran-Rajam, Aravind, et al.. (2022). Accelerating Graph Computations on 3D NoC-Enabled PIM Architectures. ACM Transactions on Design Automation of Electronic Systems. 28(3). 1–16. 3 indexed citations
10.
Minutoli, Marco, et al.. (2022). IMpart: A Partitioning-based Parallel Approach to Accelerate Influence Maximization. 38. 125–134. 2 indexed citations
11.
Minutoli, Marco, et al.. (2022). HBMax. 412–425. 4 indexed citations
12.
Kalyanaraman, Ananth, et al.. (2011). MapReduce implementation of a hybrid spectral library-database search method for large-scale peptide identification. Bioinformatics. 27(21). 3072–3073. 18 indexed citations
13.
Wu, Changjun & Ananth Kalyanaraman. (2008). An efficient parallel approach for identifying protein families in large-scale metagenomic data sets. IEEE International Conference on High Performance Computing, Data, and Analytics. 35. 13 indexed citations
14.
Aluru, Srinivas, David A. Bader, & Ananth Kalyanaraman. (2006). M11---High-performance computing methods for computational genomics. 225–225. 1 indexed citations
15.
Kalyanaraman, Ananth. (1992). A Process to Control Hairiness in Yarn. Journal of the Textile Institute. 83(3). 407–413. 24 indexed citations
16.
Kalyanaraman, Ananth. (1988). Coefficient of Friction between Yarns and Contact Surfaces. 2 indexed citations
17.
Kalyanaraman, Ananth. (1981). X-Ray Orientation Measurements of Cotton Fibers Using Yarn Samples. Textile Research Journal. 51(11). 722–724. 3 indexed citations
18.
Kalyanaraman, Ananth & R. Srinivasan. (1971). The crystal structure of DL-ornithine hydrobromide. Acta Crystallographica Section B. 27(7). 1420–1427. 6 indexed citations
19.
Bertrand, J. A., D. A. Carpenter, & Ananth Kalyanaraman. (1971). The structure of K2BaCo(NO2)6 at 233°K.: a static Jahn-Teller distortion. Inorganica Chimica Acta. 5. 113–114. 12 indexed citations
20.
Kalyanaraman, Ananth & R. Srinivasan. (1968). The best Patterson function for the determination of heavy atom positions using isomorphous data*. Zeitschrift für Kristallographie. 126(4). 262–267. 1 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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