Sayan Ranu

1.6k total citations
63 papers, 944 citations indexed

About

Sayan Ranu is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Sayan Ranu has authored 63 papers receiving a total of 944 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Signal Processing, 16 papers in Artificial Intelligence and 14 papers in Computer Vision and Pattern Recognition. Recurrent topics in Sayan Ranu's work include Data Management and Algorithms (19 papers), Graph Theory and Algorithms (12 papers) and Advanced Graph Neural Networks (10 papers). Sayan Ranu is often cited by papers focused on Data Management and Algorithms (19 papers), Graph Theory and Algorithms (12 papers) and Advanced Graph Neural Networks (10 papers). Sayan Ranu collaborates with scholars based in India, United States and United Kingdom. Sayan Ranu's co-authors include Ambuj K. Singh, Akhil Arora, Sainyam Galhotra, P Deepak, Aditya Telang, Sriram Raghavan, Vineet Chaoji, Rushi Bhatt, Rajeev Rastogi and Prasad Deshpande and has published in prestigious journals such as Bioinformatics, Physical Chemistry Chemical Physics and The Journal of Physical Chemistry Letters.

In The Last Decade

Sayan Ranu

59 papers receiving 928 citations

Peers

Sayan Ranu
Linhong Zhu United States
Wenqing Lin China
Yudian Zheng China
Lejian Liao China
Srikanta Bedathur India
Ziniu Hu United States
Pinghui Wang China
Xiaoyang Wang China
Mi-Yen Yeh Taiwan
Yintao Yu United States
Linhong Zhu United States
Sayan Ranu
Citations per year, relative to Sayan Ranu Sayan Ranu (= 1×) peers Linhong Zhu

Countries citing papers authored by Sayan Ranu

Since Specialization
Citations

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

Fields of papers citing papers by Sayan Ranu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sayan Ranu

This figure shows the co-authorship network connecting the top 25 collaborators of Sayan Ranu. A scholar is included among the top collaborators of Sayan Ranu 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 Sayan Ranu. Sayan Ranu 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.
Du, Tao, Zhimin Chen, Santiago Miret, et al.. (2024). EGraFFBench: evaluation of equivariant graph neural network force fields for atomistic simulations. Digital Discovery. 3(4). 759–768. 18 indexed citations
2.
3.
Medya, Sourav, et al.. (2024). GCFExplainer: Global Counterfactual Explainer for Graph Neural Networks. ACM Transactions on Intelligent Systems and Technology. 16(5). 1–23.
4.
Chakraborty, Abhijnan, et al.. (2023). Towards Fair Allocation in Social Commerce Platforms. arXiv (Cornell University). 3744–3754. 3 indexed citations
5.
Bhattoo, Ravinder, Sayan Ranu, & N. M. Anoop Krishnan. (2023). Learning the dynamics of particle-based systems with Lagrangian graph neural networks. Machine Learning Science and Technology. 4(1). 15003–15003. 8 indexed citations
6.
Ranu, Sayan, et al.. (2023). LIMIP: Lifelong Learning to Solve Mixed Integer Programs. Proceedings of the AAAI Conference on Artificial Intelligence. 37(7). 9047–9054. 1 indexed citations
7.
Medya, Sourav, et al.. (2023). Global Counterfactual Explainer for Graph Neural Networks. 141–149. 30 indexed citations
8.
Ranu, Sayan, et al.. (2023). Learning and Maximizing Influence in Social Networks Under Capacity Constraints. 733–741. 2 indexed citations
9.
Yadav, Rahul, et al.. (2022). Gigs with Guarantees: Achieving Fair Wage for Food Delivery Workers. Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence. 5122–5128. 2 indexed citations
10.
Ranu, Sayan, et al.. (2021). NeuroMLR: Robust & Reliable Route Recommendation on Road Networks. Neural Information Processing Systems. 34. 6 indexed citations
11.
Groot, Paul de, et al.. (2020). Tracking 3D seismic horizons with a new hybrid tracking algorithm. Interpretation. 8(4). SQ39–SQ45. 4 indexed citations
12.
Dhawan, Anuj, et al.. (2019). GCOMB: Learning Budget-constrained Combinatorial Algorithms over Billion-sized Graphs. arXiv (Cornell University). 33. 20000–20011. 12 indexed citations
13.
Gopi, Soundhararajan, et al.. (2018). Extracting the Hidden Distributions Underlying the Mean Transition State Structures in Protein Folding. The Journal of Physical Chemistry Letters. 9(7). 1771–1777. 5 indexed citations
14.
Ranu, Sayan, et al.. (2018). Route Recommendations for Idle Taxi Drivers. 1425–1434. 46 indexed citations
15.
Ranu, Sayan, et al.. (2017). Predicting novel metabolic pathways through subgraph mining. Bioinformatics. 33(24). 3955–3963. 10 indexed citations
16.
17.
Ranu, Sayan, P Deepak, Aditya Telang, Prasad Deshpande, & Sriram Raghavan. (2015). Indexing and matching trajectories under inconsistent sampling rates. Research Portal (Queen's University Belfast). 999–1010. 94 indexed citations
18.
Gopi, Soundhararajan, et al.. (2015). Energetic and topological determinants of a phosphorylation-induced disorder-to-order protein conformational switch. Physical Chemistry Chemical Physics. 17(41). 27264–27269. 12 indexed citations
19.
Ranu, Sayan, et al.. (2011). Probabilistic Substructure Mining From Small‐Molecule Screens. Molecular Informatics. 30(9). 809–815. 10 indexed citations
20.
Ranu, Sayan & Ambuj K. Singh. (2011). Novel Method for Pharmacophore Analysis by Examining the Joint Pharmacophore Space. Journal of Chemical Information and Modeling. 51(5). 1106–1121. 14 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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