Richard Rivera

1.3k total citations
16 papers, 620 citations indexed

About

Richard Rivera is a scholar working on Artificial Intelligence, Information Systems and Signal Processing. According to data from OpenAlex, Richard Rivera has authored 16 papers receiving a total of 620 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 4 papers in Information Systems and 3 papers in Signal Processing. Recurrent topics in Richard Rivera's work include Advanced Malware Detection Techniques (3 papers), Web Application Security Vulnerabilities (2 papers) and Security and Verification in Computing (2 papers). Richard Rivera is often cited by papers focused on Advanced Malware Detection Techniques (3 papers), Web Application Security Vulnerabilities (2 papers) and Security and Verification in Computing (2 papers). Richard Rivera collaborates with scholars based in United States, Ecuador and India. Richard Rivera's co-authors include Cornelis Murre, Maarten H. Stuiver, Marc A. van Dijk, Isaac Engel, Beth Furnari, Mark E. Massari, Melanie W. Quong, Gretchen Bain, Joseph F. Antognini and Bruno Riou and has published in prestigious journals such as SHILAP Revista de lepidopterología, Molecular and Cellular Biology and Anesthesiology.

In The Last Decade

Richard Rivera

15 papers receiving 603 citations

Peers

Richard Rivera

MB

GENET

SURGE

CCM

APM

Seung Won Choi South Korea

Lijuan Su China

Jiahui Gu China

Rong Hu China

Yiran Yang China

Gorana Aralica Croatia

Shuo Huang China

Xiaona Zhou China

Ruoying Yu China

Jichun Xie United States

Seung Won Choi South Korea

Richard Rivera

161 ×0.5

MB

42 ×0.5

GENET

68 ×0.9

SURGE

34 ×0.5

CCM

95 ×1.5

APM

Citations per year, relative to Richard Rivera Richard Rivera (= 1×) peers Seung Won Choi

Countries citing papers authored by Richard Rivera

Since Specialization

Citations

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

Fields of papers citing papers by Richard Rivera

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Richard Rivera

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

All Works

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16 of 16 papers shown

1.

Ramesh, Janjhyam Venkata Naga, Ismail Keshta, Mukesh Soni, et al.. (2024). Quantum Target Recognition Enhancement Algorithm for UAV Consumer Applications. IEEE Transactions on Consumer Electronics. 70(3). 5553–5560. 2 indexed citations

2.

Rivera, Richard, et al.. (2024). Employing Deep Neural Networks for Real-Time Anomaly Detection and Mitigation in IoT-Based Smart Grid Cybersecurity Systems. 1–6. 4 indexed citations

3.

Manwal, Manika, et al.. (2023). Node based Label Propagation for Bitcoin Transaction Pattern Identification Over Similar Community.

4.

Sharma, Aditi, et al.. (2023). A machine learning method for predicting disease-associated microRNA connections using network internal topology data. SHILAP Revista de lepidopterología. 4. 100215–100215. 2 indexed citations

5.

Aeri, Manisha, et al.. (2023). Support Vector Machine based Multi-Class Classification for Oriented Instance Selection. 112–117. 1 indexed citations

6.

Cervantes, I. Maldonado, et al.. (2019). Challenges and Opportunities of IoT Deployment in Ecuador. 35. 108–115. 3 indexed citations

7.

Sanz, Cecilia Verónica, et al.. (2019). Autonomous Learning Mediated by Digital Technology Processes in Higher Education: A Systematic Review. Advances in intelligent systems and computing. 65–71. 5 indexed citations

8.

Anderson, Kyle & Richard Rivera. (2018). The Disintegration of South Sudan: Political Violence from 2011 to 2016. SSRN Electronic Journal. 1 indexed citations

9.

Rivera, Richard, et al.. (2018). Costly freeware: a systematic analysis of abuse in download portals. IET Information Security. 13(1). 27–35. 3 indexed citations

10.

Rivera, Richard, et al.. (2015). Leveraging wireless communication systems for aiding inertial-based navigation systems. 4. 158–163. 3 indexed citations

11.

Kotzias, Platon, et al.. (2015). Certified PUP: Abuse in Authenticode Code Signing. 86–87. 3 indexed citations

12.

Kotzias, Platon, et al.. (2015). Certified PUP. 465–478. 22 indexed citations

13.

Dalimier, Eugénie, et al.. (2009). Experimental validation of a Bayesian model of visual acuity. Journal of Vision. 9(7). 12–12. 17 indexed citations

14.

Rivera, Richard, Joseph F. Antognini, & Bruno Riou. (2009). Perioperative Drug Therapy in Elderly Patients. Anesthesiology. 110(5). 1176–1181. 120 indexed citations

15.

Murre, Cornelis, Gretchen Bain, Marc A. van Dijk, et al.. (1994). Structure and function of helix-loop-helix proteins. Biochimica et Biophysica Acta (BBA) - Gene Structure and Expression. 1218(2). 129–135. 407 indexed citations

16.

Rivera, Richard, Maarten H. Stuiver, Renske D.M. Steenbergen, & Cornelis Murre. (1993). Ets Proteins: New Factors That Regulate Immunoglobulin Heavy-Chain Gene Expression. Molecular and Cellular Biology. 13(11). 7163–7169. 27 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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