Sidharth Kumar

2.7k total citations · 1 hit paper
35 papers, 1.5k citations indexed

About

Sidharth Kumar is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Hardware and Architecture. According to data from OpenAlex, Sidharth Kumar has authored 35 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computer Networks and Communications, 10 papers in Computer Vision and Pattern Recognition and 9 papers in Hardware and Architecture. Recurrent topics in Sidharth Kumar's work include Advanced Data Storage Technologies (13 papers), Distributed and Parallel Computing Systems (11 papers) and Parallel Computing and Optimization Techniques (9 papers). Sidharth Kumar is often cited by papers focused on Advanced Data Storage Technologies (13 papers), Distributed and Parallel Computing Systems (11 papers) and Parallel Computing and Optimization Techniques (9 papers). Sidharth Kumar collaborates with scholars based in United States, India and South Korea. Sidharth Kumar's co-authors include Ahmedur Rahman Shovon, Santhosh Kumar Karthikeyan, Chad J. Creighton, Praveen Kumar Korla, Upender Manne, Mohammad Athar, Sooryanarayana Varambally, George J. Netto, Zhaohui Qin and Darshan S. Chandrashekar and has published in prestigious journals such as Proceedings of the VLDB Endowment, Neoplasia and International Journal of Medical Informatics.

In The Last Decade

Sidharth Kumar

29 papers receiving 1.5k citations

Hit Papers

UALCAN: An update to the integrated cancer data analysis ... 2022 2026 2023 2024 2022 400 800 1.2k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. UALCAN: An update to the integrated cancer data analysis platform
    2022 1.3k citations Darshan S. Chandrashekar, Santhosh Kumar Karthikeyan et al. Neoplasia profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sidharth Kumar United States 9 987 493 461 304 147 35 1.5k
Bradley M. Broom United States 24 1.0k 1.0× 474 1.0× 567 1.2× 592 1.9× 114 0.8× 63 1.9k
Niraj Shenoy United States 22 552 0.6× 264 0.5× 305 0.7× 226 0.7× 109 0.7× 46 1.4k
Dacheng He China 23 782 0.8× 174 0.4× 181 0.4× 237 0.8× 90 0.6× 60 1.4k
Zongyuan Yang China 21 673 0.7× 95 0.2× 356 0.8× 276 0.9× 108 0.7× 70 1.4k
Meng‐Feng Tsai Taiwan 21 746 0.8× 900 1.8× 447 1.0× 856 2.8× 290 2.0× 57 1.9k
Ahmedur Rahman Shovon United States 5 983 1.0× 495 1.0× 459 1.0× 303 1.0× 150 1.0× 12 1.4k
Yi Tu China 18 397 0.4× 106 0.2× 231 0.5× 175 0.6× 101 0.7× 76 1.1k
Lingchao Chen China 27 1.1k 1.1× 122 0.2× 814 1.8× 180 0.6× 149 1.0× 60 1.9k
Hyun Jin Choi South Korea 16 353 0.4× 163 0.3× 163 0.4× 263 0.9× 264 1.8× 54 1.1k
Xi Rao China 21 908 0.9× 97 0.2× 511 1.1× 181 0.6× 62 0.4× 56 1.4k

Countries citing papers authored by Sidharth Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Sidharth Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sidharth Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Sidharth Kumar. A scholar is included among the top collaborators of Sidharth Kumar 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 Sidharth Kumar. Sidharth Kumar 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.
Karthikeyan, Santhosh Kumar, Darshan S. Chandrashekar, Sadeep Shrestha, et al.. (2025). MammOnc-DB, an integrative breast cancer data analysis platform for target discovery. npj Breast Cancer. 11(1). 35–35. 3 indexed citations
2.
Domke, Jens, et al.. (2025). Parameterized Algorithms for Non-uniform All-to-all. 1–13.
3.
Shovon, Ahmedur Rahman, et al.. (2025). Multi-Node Multi-GPU Datalog. 822–836.
4.
5.
6.
Kumar, Sidharth, et al.. (2024). Datalog with First-Class Facts. Proceedings of the VLDB Endowment. 18(3). 651–665. 1 indexed citations
7.
Usher, Will, et al.. (2023). Speculative Progressive Raycasting for Memory Constrained Isosurface Visualization of Massive Volumes. Figshare. 1–11. 2 indexed citations
8.
Yefimova, Maria, Sidharth Kumar, Frank Puga, et al.. (2023). Using digital phenotyping to understand health-related outcomes: A scoping review. International Journal of Medical Informatics. 174. 105061–105061. 22 indexed citations
9.
Kumar, Sidharth, et al.. (2023). Communication-Avoiding Recursive Aggregation. 197–208. 3 indexed citations
10.
Chandrashekar, Darshan S., Santhosh Kumar Karthikeyan, Praveen Kumar Korla, et al.. (2022). UALCAN: An update to the integrated cancer data analysis platform. Neoplasia. 25. 18–27. 1335 indexed citations breakdown →
11.
Pascucci, Valerio, et al.. (2022). Optimizing the Bruck Algorithm for Non-uniform All-to-all Communication. 172–184. 15 indexed citations
12.
Kumar, Sidharth, et al.. (2021). Table of Contents. 3–4. 1 indexed citations
13.
Usher, Will, Sidharth Kumar, Stuart Slattery, et al.. (2021). Adaptive Spatially Aware I/O for Multiresolution Particle Data Layouts. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 547–556. 6 indexed citations
14.
Micinski, Kristopher, et al.. (2021). Exploring MPI Collective I/O and File-per-process I/O for Checkpointing a Logical Inference Task. 965–972. 2 indexed citations
15.
Kumar, Sidharth & S. Devi. (2020). Real-Time Image Privacy Preservation using AES with Salt key and Gaussian Blur Algorithms with the application of Data Perturbation in Cloud. International Journal of Innovative Technology and Exploring Engineering. 9(3). 729–735. 2 indexed citations
16.
Kumar, Sidharth, et al.. (2019). Spatially-aware Parallel I/O for Particle Data. 1–10. 6 indexed citations
17.
Wu, Qi, et al.. (2018). VisIt-OSPRay: Toward an Exascale Volume Visualization System. Eurographics. 13–23. 8 indexed citations
18.
Rodero, Iván, et al.. (2016). Evaluation of In-Situ Analysis Strategies at Scale for Power Efficiency and Scalability. 156–164. 9 indexed citations
19.
Kumar, Sidharth, John Edwards, Peer‐Timo Bremer, et al.. (2014). Efficient I/O and Storage of Adaptive-Resolution Data. 413–423. 18 indexed citations
20.
Kumar, Sidharth, Valerio Pascucci, Venkatram Vishwanath, et al.. (2010). Towards parallel access of multi-dimensional, multi-resolution scientific data. 1–5. 11 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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