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    • Haresh Kumar Jadav, Ranveer Singh, Vaneet Aggarwal β€œStronger Approximation Guarantees for Non-Monotone 𝛾-Weakly DR-Submodular Maximization” AAMAS, 2026
    • Priyanshu Pant, Surabhi Chakraborty, Ranveer Singh β€œA Permanental analog of Rank-Nullity Theorem for Symmetric Matrices” STACS, 2026
    • Hareshkumar Jadav, Mihir Patel, Samip Shah, Ranveer Singh and Harsh Talati β€œGenerating Constrained Lattice Paths in a Grid related to counting cycles” ICTCS, 2025
    • Surabhi Chakrabartty and Ranveer Singh β€œPermanent as determinants for bipartite graphs” ISSAC, 2025
    • Abhinav Bitragunta, Hareshkumar Jadav, Ranveer Singh β€œCartesian Prime Graphs and Cospectral Families” ISSAC, 2025
    • Hareshkumar Jadav, Sreekara Madyastha, Rahul Raut, Ranveer Singh β€œStrengthening Wilf’s lower bound on clique number )” ISSAC, 2025
    • Aman Singh, Shahid Shafi Dar, Ranveer Singh, Nagendra Kumar β€œA Hybrid Similarity-Aware Graph Neural Network with Transformer for Node Classification” Expert Systems with Applications (2025)
    • Surabhi Chakrabartty and Ranveer Singh β€œPermanent of bipartite graphs in terms of determinants” IWOCA, 2025
    • Hareshkumar, Sreekara Madyastha, Rahul Raut, Ranveer Singh. β€œGeneralizing Wilf’s inequality for strongly regular graphs” MatTriad’25 (2025)
    • Hareshkumar Jadav, Ashita Gupta and Ranveer Singh β€œA construction of random bigraphs and their application to error correction codes” J. Stat. Mech. 2025
    • Ravindra B. Bapat, Ranveer Singh, and Hitesh Wankhede. β€œComputing the permanental polynomial of 4k-intercyclic bipartite graphs” American Journal of Combinatorics (2024)
    • Hitesh Wankhede, Ranveer Singh. β€œA note on graphs with purely imaginary per-spectrum” Applied Mathematics and Computation (2024)

    • Hitesh Wankhede, Ranveer Singh, RB Bapat. β€œPermanent of 4k-intercyclic graphs” EUROCOMB (2023)

    • Pradumn Kumar Pandey, Ranveer Singh, AK Lal. β€œSRF: Random Expanders for Designing Scalable Robust and Fast Communication Networks” IEEE Transactions on Circuits and Systems–II: Express Briefs (2022)

    • Ranveer Singh, Naomi Shaked-Monderer, and Avi Berman. β€œA linear time algorithm for the nullity of vertex-weighted block graphs.” Discrete Applied Mathematics 2022.

    • Ankit Mishra, Ranveer Singh and Sarika Jalan. β€œOn the second largest eigenvalue of networks.” Applied Network Science 2022.

    • Pradumn Kumar Pandey, Ranveer Singh. β€œFast Average-consensus on Networks using Heterogeneous Diffusion.” IEEE Transactions on Circuits and Systems–II: Express Briefs (2021)

    • Ranveer Singh. β€œPermanent, determinant, and rank of bi-block graphs.” Aequationes mathematicae 94, no. 1 (2020): 1-12.

    • Ranveer Singh. β€œParameterized complexity of determinant and permanent.” Theoretical Computer Science 845 (2020) 50-58

    • Ranveer Singh, Cheng Zheng, Naomi Shaked-Monderer, and Abraham Berman. β€œNonsingular (vertex-weighted) block graphs.” Linear Algebra and its Applications 602 (2020): 138-156.
    • Berman, Abraham, Naomi Shaked-Monderer, Ranveer Singh, and Xiao-Dong Zhang. β€œComplete multipartite graphs that are determined, up to switching, by their Seidel spectrum.”. Linear Algebra and its Applications 564 (2019): 58-71.
    • Ranveer Singh. β€œOn eigenvector structure of weakly balanced networks.” Physica A: Statistical Mechanics and its Applications 527 (2019): 121093.

    • Ranveer Singh, Naomi Shaked-Monderer, and Avi Berman. β€œLinear time algorithm to check the singularity of block graphs.” In Conference on Algorithms and Discrete Applied Mathematics, pp. 77-90. Springer, Cham, 2019.

    • Singh, Ranveer, and Ravindra B. Bapat. β€œB-Partitions, determinant and permanent of graphs.” Transactions on Combinatorics 7, no. 3 (2018): 37-54.

    • Joshi, Anoopa, Ranveer Singh, and Atul Kumar. β€œConcurrence and three-tangle of the graph.” Quantum Information Processing 17, no. 12 (2018): 327.

    • Ranveer Singh, and Ravindra B. Bapat. β€œOn characteristic and permanent polynomials of a matrix.” Special Matrices 5, no. 1 (2017): 97-112.

    • Ranveer Singh, and Bibhas Adhikari. β€œMeasuring the balance of signed networks and its application to sign prediction.” Journal of Statistical Mechanics: Theory and Experiment 2017, no. 6 (2017): 063302.
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