Michaela Iorga

1.3k total citations
14 papers, 394 citations indexed

About

Michaela Iorga is a scholar working on Information Systems, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Michaela Iorga has authored 14 papers receiving a total of 394 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Information Systems, 5 papers in Computer Networks and Communications and 3 papers in Artificial Intelligence. Recurrent topics in Michaela Iorga's work include Cloud Data Security Solutions (5 papers), Cloud Computing and Resource Management (3 papers) and Blockchain Technology Applications and Security (3 papers). Michaela Iorga is often cited by papers focused on Cloud Data Security Solutions (5 papers), Cloud Computing and Resource Management (3 papers) and Blockchain Technology Applications and Security (3 papers). Michaela Iorga collaborates with scholars based in United States, Egypt and Australia. Michaela Iorga's co-authors include Jeffrey Voas, Hyunji Chung, Tom Karygiannis, J. R. Parker, Anand V. Patwardhan, Anupam Joshi, Jesús Luna, Neeraj Suri, Yaacov Yesha and Larry Feldman and has published in prestigious journals such as Computer, Ad Hoc Networks and Digital Investigation.

In The Last Decade

Michaela Iorga

14 papers receiving 342 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michaela Iorga United States 10 212 114 114 75 72 14 394
Steve Lloyd United Kingdom 6 143 0.7× 131 1.1× 135 1.2× 41 0.5× 67 0.9× 8 422
Christian Zimmer Germany 12 225 1.1× 112 1.0× 74 0.6× 31 0.4× 25 0.3× 40 434
Mark B. Schmidt United States 9 105 0.5× 137 1.2× 50 0.4× 20 0.3× 79 1.1× 36 298
Cynthia E. Irvine United States 10 156 0.7× 299 2.6× 155 1.4× 40 0.5× 96 1.3× 81 518
Shuai Hao United States 8 168 0.8× 168 1.5× 209 1.8× 78 1.0× 72 1.0× 21 538
Mohammed Amin Almaiah Saudi Arabia 9 230 1.1× 146 1.3× 103 0.9× 95 1.3× 29 0.4× 26 490
Arno Wacker Germany 12 191 0.9× 66 0.6× 141 1.2× 28 0.4× 53 0.7× 51 363
Fábio Petrillo Canada 13 138 0.7× 291 2.6× 122 1.1× 20 0.3× 61 0.8× 58 475
Zinaida Benenson Germany 12 273 1.3× 211 1.9× 82 0.7× 27 0.4× 77 1.1× 44 442
Taejoong Chung United States 13 300 1.4× 160 1.4× 303 2.7× 91 1.2× 101 1.4× 37 527

Countries citing papers authored by Michaela Iorga

Since Specialization
Citations

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

Fields of papers citing papers by Michaela Iorga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michaela Iorga

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

All Works

14 of 14 papers shown
1.
2.
Chung, Hyunji, et al.. (2017). “Alexa, Can I Trust You?”. Computer. 50(9). 100–104. 133 indexed citations
3.
Iorga, Michaela, et al.. (2017). The NIST Definition of Fog Computing. 23 indexed citations
4.
Choo, Kim‐Kwang Raymond, Martin Herman, Michaela Iorga, & Ben Martini. (2016). Cloud forensics: State-of-the-art and future directions. Digital Investigation. 18. 77–78. 9 indexed citations
5.
Iorga, Michaela & Karen Scarfone. (2016). Using a Capability-Oriented Methodology to Build Your Cloud Ecosystem. IEEE Cloud Computing. 3(2). 58–63. 2 indexed citations
6.
Chandramouli, Ramaswamy, et al.. (2016). NIST Definition of Microservices, Application Containers and System Virtual Machines. 3 indexed citations
7.
Iorga, Michaela, et al.. (2015). Managing Risk in a Cloud Ecosystem. IEEE Cloud Computing. 2(6). 51–57. 10 indexed citations
8.
Luna, Jesús, et al.. (2015). Leveraging the Potential of Cloud Security Service-Level Agreements through Standards. IEEE Cloud Computing. 2(3). 32–40. 30 indexed citations
9.
Chandramouli, Ramaswamy, Michaela Iorga, & Santosh Chokhani. (2014). Cryptographic Key Management Issues & Challenges in Cloud Services. 10 indexed citations
10.
Iorga, Michaela. (2012). Challenging Security Requirements for US Government Cloud Computing Adoption | NIST. 10 indexed citations
11.
Patwardhan, Anand V., J. R. Parker, Michaela Iorga, et al.. (2007). Threshold-based intrusion detection in ad hoc networks and secure AODV. Ad Hoc Networks. 6(4). 578–599. 28 indexed citations
12.
Patwardhan, Anand V., J. R. Parker, Anupam Joshi, Michaela Iorga, & Tom Karygiannis. (2005). Secure Routing and Intrusion Detection in Ad Hoc Networks. Maryland Shared Open Access Repository (USMAI Consortium). 191–199. 116 indexed citations
13.
Jansen, Wayne, et al.. (2003). Security Policy Management for Handheld Devices. 2003(1). 199–204. 11 indexed citations
14.
Dray, James F., et al.. (2002). Government Smart Card Interoperability Specification: Version 2.0. 2 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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