Ashish Kamra

998 total citations
11 papers, 371 citations indexed

About

Ashish Kamra is a scholar working on Computer Networks and Communications, Artificial Intelligence and Sociology and Political Science. According to data from OpenAlex, Ashish Kamra has authored 11 papers receiving a total of 371 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Networks and Communications, 4 papers in Artificial Intelligence and 3 papers in Sociology and Political Science. Recurrent topics in Ashish Kamra's work include Network Security and Intrusion Detection (6 papers), Access Control and Trust (3 papers) and Software System Performance and Reliability (2 papers). Ashish Kamra is often cited by papers focused on Network Security and Intrusion Detection (6 papers), Access Control and Trust (3 papers) and Software System Performance and Reliability (2 papers). Ashish Kamra collaborates with scholars based in United States, India and Finland. Ashish Kamra's co-authors include Elisa Bertino, Evimaria Terzi, Athena Vakali, Gabriel Ghinita, Guy Lebanon, Ji-Won Byun, Ninghui Li, R. Ramakumar, Asmaa Sallam and Preeti Singh and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, The VLDB Journal and Indian Journal of Nuclear Medicine.

In The Last Decade

Ashish Kamra

11 papers receiving 329 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ashish Kamra United States 8 259 217 175 117 74 11 371
A. Motro United States 8 282 1.1× 222 1.0× 82 0.5× 174 1.5× 25 0.3× 9 356
Daiping Liu United States 8 133 0.5× 121 0.6× 126 0.7× 100 0.9× 24 0.3× 15 236
Sumayah Alrwais United States 11 249 1.0× 195 0.9× 286 1.6× 188 1.6× 41 0.6× 17 412
Aditya Kuppa Ireland 6 108 0.4× 197 0.9× 89 0.5× 84 0.7× 27 0.4× 11 307
Nikan Chavoshi United States 9 97 0.4× 138 0.6× 228 1.3× 153 1.3× 177 2.4× 11 362
André Bergholz Germany 7 109 0.4× 143 0.7× 266 1.5× 111 0.9× 27 0.4× 11 310
Scott Garriss United States 6 178 0.7× 204 0.9× 149 0.9× 53 0.5× 117 1.6× 7 339
Songting Chen United States 11 298 1.2× 146 0.7× 87 0.5× 188 1.6× 11 0.1× 18 355
John Liagouris Switzerland 8 119 0.5× 136 0.6× 100 0.6× 34 0.3× 38 0.5× 16 233
Maher Aburrous Jordan 8 89 0.3× 206 0.9× 336 1.9× 162 1.4× 44 0.6× 10 363

Countries citing papers authored by Ashish Kamra

Since Specialization
Citations

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

Fields of papers citing papers by Ashish Kamra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ashish Kamra

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

All Works

11 of 11 papers shown
1.
Kamra, Ashish & R. Ramakumar. (2019). Underestimation of Farm Costs: A Note on the Methodology of the CACP. AgEcon Search (University of Minnesota, USA). 9(1). 112–126. 3 indexed citations
2.
Singh, Preeti, et al.. (2018). Role of myocardial perfusion study in differentiating ischemic versus nonischemic cardiomyopathy using quantitative parameters. Indian Journal of Nuclear Medicine. 33(1). 32–32. 5 indexed citations
3.
Singh, Preeti, et al.. (2016). Rejuvenating role of Gallium-67 citrate imaging in skull base osteomyelitis. 57. 1748–1748. 1 indexed citations
4.
Sallam, Asmaa, et al.. (2013). PostgreSQL anomalous query detector. Purdue e-Pubs (Purdue University System). 741–744. 9 indexed citations
5.
Bertino, Elisa, Gabriel Ghinita, & Ashish Kamra. (2011). Access Control for Databases: Concepts and Systems. Purdue e-Pubs (Purdue University System). 3(1-2). 1–148. 44 indexed citations
6.
Kamra, Ashish & Elisa Bertino. (2010). Design and Implementation of an Intrusion Response System for Relational Databases. IEEE Transactions on Knowledge and Data Engineering. 23(6). 875–888. 32 indexed citations
7.
Kamra, Ashish, Elisa Bertino, & Guy Lebanon. (2008). Mechanisms for database intrusion detection and response. 31–36. 24 indexed citations
8.
Bertino, Elisa, et al.. (2007). Profiling Database Application to Detect SQL Injection Attacks. Purdue e-Pubs (Purdue University System). 449–458. 38 indexed citations
9.
Kamra, Ashish, Evimaria Terzi, & Elisa Bertino. (2007). Detecting anomalous access patterns in relational databases. The VLDB Journal. 17(5). 1063–1077. 118 indexed citations
10.
Byun, Ji-Won, Ashish Kamra, Elisa Bertino, & Ninghui Li. (2006). EFFICIENT k-ANONYMITY USING CLUSTERING TECHNIQUE. 10 indexed citations
11.
Bertino, Elisa, Ashish Kamra, Evimaria Terzi, & Athena Vakali. (2006). Intrusion Detection in RBAC-administered Databases. 170–182. 87 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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