K.K. Aggarwal

4.9k total citations
142 papers, 2.7k citations indexed

About

K.K. Aggarwal is a scholar working on Software, Safety, Risk, Reliability and Quality and Information Systems. According to data from OpenAlex, K.K. Aggarwal has authored 142 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Software, 37 papers in Safety, Risk, Reliability and Quality and 30 papers in Information Systems. Recurrent topics in K.K. Aggarwal's work include Software Reliability and Analysis Research (46 papers), Reliability and Maintenance Optimization (37 papers) and Software Engineering Research (25 papers). K.K. Aggarwal is often cited by papers focused on Software Reliability and Analysis Research (46 papers), Reliability and Maintenance Optimization (37 papers) and Software Engineering Research (25 papers). K.K. Aggarwal collaborates with scholars based in India, United States and Canada. K.K. Aggarwal's co-authors include Yogesh Singh, J. S. Gupta, K.B. Misra, Suresh Rai, Y.C. Chopra, Ruchika Malhotra, Joginder S. Bajwa, Arvinder Kaur, Jitender Kumar Chhabra and J. L. Gupta and has published in prestigious journals such as Journal of Clinical Oncology, The Astrophysical Journal and Technometrics.

In The Last Decade

K.K. Aggarwal

127 papers receiving 2.3k citations

Peers

K.K. Aggarwal

SOFTW

SRRQ

SPU

CNC

Peter Fritzson Sweden

Narsingh Deo United States

Yanping Xiang China

Miklós Telek Hungary

Ramon E. Moore United States

Peter Buchholz Germany

Steven I. Marcus United States

Scott Vander Wiel United States

James C. Fu Canada

Jian Chu China

Peter Fritzson Sweden

K.K. Aggarwal

870 ×0.8

SOFTW

50 ×0.1

SRRQ

265 ×0.4

39 ×0.1

SPU

437 ×0.9

CNC

Citations per year, relative to K.K. Aggarwal K.K. Aggarwal (= 1×) peers Peter Fritzson

Countries citing papers authored by K.K. Aggarwal

Since Specialization

Citations

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

Fields of papers citing papers by K.K. Aggarwal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K.K. Aggarwal

This figure shows the co-authorship network connecting the top 25 collaborators of K.K. Aggarwal. A scholar is included among the top collaborators of K.K. Aggarwal 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 K.K. Aggarwal. K.K. Aggarwal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Sydnor, Jessica, Sarah Burke-Spolaor, K.K. Aggarwal, et al.. (2025). Synchronous and Asynchronous X-Ray Monitoring of FRB 20190520B with the Chandra X-Ray Observatory. The Astrophysical Journal. 984(2). 178–178.

Kumar, Aman, et al.. (2025). Navigating the Complexities of Human Metapneumovirus: Insights from Diagnosis to Therapeutic Innovations. Current Respiratory Medicine Reviews. 21(5). 423–426.

Anna-Thomas, Reshma, Sarah Burke-Spolaor, Casey Law, et al.. (2024). An Unidentified Fermi Source Emitting Radio Bursts in the Galactic Bulge. The Astrophysical Journal. 974(1). 72–72. 2 indexed citations

Khorrami, Mohammadhadi, K.K. Aggarwal, Diederik J. Grootendorst, et al.. (2024). Correlation of the combination of CT-derived tumor texture and vessel tortuosity on survival outcomes for immunotherapy but not for chemotherapy in metastatic non-small cell lung cancer (mNSCLC): Results from a CheckMate227 (CM227) subset.. Journal of Clinical Oncology. 42(16_suppl). 8610–8610. 1 indexed citations

Aggarwal, K.K., Chuanpu Hu, Anna Kondic, et al.. (2024). Novel endpoints based on tumor size ratio to support early clinical decision-making in oncology drug-development. Journal of Pharmacokinetics and Pharmacodynamics. 52(1). 9–9.

Zhang, Xian, Wenfei Yu, Casey Law, et al.. (2023). Temporal and Spectral Properties of the Persistent Radio Source Associated with FRB 20190520B with the VLA. The Astrophysical Journal. 959(2). 89–89. 7 indexed citations

Law, Casey, Liam Connor, & K.K. Aggarwal. (2022). On the Fast Radio Burst and Persistent Radio Source Populations. The Astrophysical Journal. 927(1). 55–55. 22 indexed citations

Law, Casey, et al.. (2021). VLA/realfast localization and deep imaging of FRB 20201124A. The astronomer's telegram. 14526. 1. 1 indexed citations

Aggarwal, K.K., Casey Law, Sarah Burke-Spolaor, et al.. (2020). VLA/Realfast Detection of a Burst from FRB 180916.J0158+65 and Tests for Periodic Activity. Research Notes of the AAS. 4(6). 94–94. 12 indexed citations

10.

Aggarwal, K.K., et al.. (2020). The NANOGrav 11 yr Data Set: Limits on Gravitational Wave Memory. Repository of the Academy's Library (Library of the Hungarian Academy of Sciences). 30 indexed citations

11.

Agarwal, Devansh, et al.. (2020). FETCH: A deep-learning based classifier for fast transient classification. Monthly Notices of the Royal Astronomical Society. 497(2). 1661–1674. 69 indexed citations

12.

Aggarwal, K.K.. (2020). VLA/realfast detection of burst from FRB180916.J0158+65. The astronomer's telegram. 13664. 1.

13.

Aggarwal, K.K., et al.. (2019). The NANOGrav 11 yr Data Set: Limits on Gravitational Waves from Individual Supermassive Black Hole Binaries. Repository of the Academy's Library (Library of the Hungarian Academy of Sciences). 31 indexed citations

14.

Law, Casey, Conor M. B. Omand, Kazumi Kashiyama, et al.. (2019). A Search for Late-time Radio Emission and Fast Radio Bursts from Superluminous Supernovae. The Astrophysical Journal. 886(1). 24–24. 24 indexed citations

15.

Men, Yunpeng, K.K. Aggarwal, Ye Li, et al.. (2019). Non-detection of fast radio bursts from six gamma-ray burst remnants with possible magnetar engines. Monthly Notices of the Royal Astronomical Society. 489(3). 3643–3647. 12 indexed citations

16.

Aggarwal, K.K., et al.. (2019). A Revisit to Clustering Techniques with its Application in Agriculture Sector. 1 indexed citations

17.

Khosla, Arun, et al.. (2006). Identification of strategy parameters for particle swarm optimizer through Taguchi method. Journal of Zhejiang University. Science A. 7(12). 1989–1994. 23 indexed citations

18.

Aggarwal, K.K., et al.. (2004). Available Bit Rate: A Novel Handover Initiation Criterion. IEICE Transactions on Communications. 87(8). 2419–2421. 1 indexed citations

19.

Aggarwal, K.K., Y.C. Chopra, & Joginder S. Bajwa. (1982). Topological layout of links for optimizing the s-t reliability in a computer communication system. Microelectronics Reliability. 22(3). 341–345. 62 indexed citations

20.

Aggarwal, K.K., J. S. Gupta, & K.B. Misra. (1975). Computational time and absolute error comparison for reliability expression derived by various methods. Microelectronics Reliability. 14(5-6). 465–467. 6 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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