Howard Michel

466 total citations
41 papers, 320 citations indexed

About

Howard Michel is a scholar working on Artificial Intelligence, Computer Networks and Communications and Electrical and Electronic Engineering. According to data from OpenAlex, Howard Michel has authored 41 papers receiving a total of 320 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 13 papers in Computer Networks and Communications and 12 papers in Electrical and Electronic Engineering. Recurrent topics in Howard Michel's work include Energy Efficient Wireless Sensor Networks (11 papers), Neural Networks and Applications (7 papers) and Photonic and Optical Devices (6 papers). Howard Michel is often cited by papers focused on Energy Efficient Wireless Sensor Networks (11 papers), Neural Networks and Applications (7 papers) and Photonic and Optical Devices (6 papers). Howard Michel collaborates with scholars based in United States, Canada and Germany. Howard Michel's co-authors include Liudong Xing, Paul Fortier, Abdul Ahad S. Awwal, Ruiping Ma, Eileen O’Neill, Nancy M. Dluhy, Honggang Wang, Jamal Uddin Ahmed, Óscar García and Vinod M. Vokkarane and has published in prestigious journals such as Journal of Advanced Nursing, Journal of Network and Computer Applications and Optical Engineering.

In The Last Decade

Howard Michel

35 papers receiving 290 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Howard Michel United States 11 113 109 89 29 23 41 320
Kiran Sultan Saudi Arabia 11 123 1.1× 109 1.0× 53 0.6× 52 1.8× 17 0.7× 30 339
Raju Gottumukkala United States 11 178 1.6× 66 0.6× 170 1.9× 13 0.4× 30 1.3× 35 459
Dhiaa Musleh Saudi Arabia 12 34 0.3× 103 0.9× 135 1.5× 42 1.4× 16 0.7× 27 392
Hai-Long Nguyen Singapore 5 204 1.8× 71 0.7× 239 2.7× 42 1.4× 19 0.8× 14 560
S. Sivakumar Canada 9 164 1.5× 211 1.9× 67 0.8× 28 1.0× 43 1.9× 31 363
Shih-Jung Wu Taiwan 10 132 1.2× 176 1.6× 43 0.5× 32 1.1× 21 0.9× 41 282
Harsha Sirisena New Zealand 11 173 1.5× 190 1.7× 30 0.3× 21 0.7× 19 0.8× 42 327
Aswathy K Nair India 10 68 0.6× 41 0.4× 33 0.4× 10 0.3× 16 0.7× 29 282
Jon Pérez Spain 13 172 1.5× 131 1.2× 89 1.0× 22 0.8× 5 0.2× 47 512

Countries citing papers authored by Howard Michel

Since Specialization
Citations

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

Fields of papers citing papers by Howard Michel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Howard Michel

This figure shows the co-authorship network connecting the top 25 collaborators of Howard Michel. A scholar is included among the top collaborators of Howard Michel 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 Howard Michel. Howard Michel 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.
Valova, Iren, et al.. (2016). WSCISOM: wireless sensor data cluster identification through a hybrid SOM/MLP/RBF architecture. Progress in Artificial Intelligence. 5(4). 233–250. 1 indexed citations
2.
Wang, Honggang, et al.. (2012). Power management in SMAC-based energy-harvesting wireless sensor networks using queuing analysis. Journal of Network and Computer Applications. 36(3). 1008–1017. 44 indexed citations
3.
Ma, Ruiping, Liudong Xing, Howard Michel, & Honggang Wang. (2011). Survivable Data Transmission via Selective Hybrid Cipher in Sensor Networks. International Journal of Performability Engineering. 7(4). 303. 3 indexed citations
4.
Michel, Howard, et al.. (2011). Middleware/API and data fusion in Wireless Sensor Networks. 53. 1–4. 6 indexed citations
5.
Wang, Honggang, Liudong Xing, & Howard Michel. (2010). Reed–Solomon Code based Green & Survivable Communications Using Selective Encryption. International Journal of Performability Engineering. 6(3). 297. 1 indexed citations
6.
Michel, Howard & Abdul Ahad S. Awwal. (2010). Artificial neural networks using complex numbers and phase encoded weights. Applied Optics. 49(10). B71–B71. 15 indexed citations
7.
Xing, Liudong, et al.. (2009). Fault-Tolerance and Reliability Analysis for Wireless Sensor Networks. International Journal of Performability Engineering. 5(5). 419–431. 29 indexed citations
8.
Balasubramanian, Chandrika & Howard Michel. (2009). Design and Implementation of a Wireless Sensor Network Application Based on the Integrated Technical Reference Model.. International Conference on Wireless Networks. 148–152.
9.
Michel, Howard, et al.. (2008). Integrated Technical Reference Model and Sensor Network Architecture.. International Conference on Wireless Networks. 570–576. 3 indexed citations
10.
Michel, Howard, et al.. (2007). Integrating Information-Centric, Control-Centric and Behavior-Centric Technical Reference Models for Autonomous Sensor Networks.. International Conference on Wireless Networks. 319–324. 7 indexed citations
11.
Michel, Howard, et al.. (2006). The Control Technical Reference Model.. International Conference on Artificial Intelligence. 635–644. 2 indexed citations
12.
Michel, Howard, et al.. (2006). Artificial Neural Networks Using Complex Numbers and Phase Encoded Weights—Electronic and Optical Implementations. The 2006 IEEE International Joint Conference on Neural Network Proceedings. 8. 486–491. 7 indexed citations
13.
Fortier, Paul, et al.. (2006). Hierarchical Agglomerative Clustering Based T-outlier Detection. Scholarworks (University of Massachusetts Amherst). 731–738. 3 indexed citations
14.
Michel, Howard & Paul Fortier. (2006). Development of an embedded instrumentation system architecture and its comparison to the test and training enabling architecture. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6249. 624904–624904. 4 indexed citations
15.
Michel, Howard, et al.. (2005). A Search Engine Technique Using Relation Based Keywords.. International Conference on Artificial Intelligence. 300–306. 5 indexed citations
16.
Michel, Howard, et al.. (2004). Data Clustering Via Spiking Neural Networks through Spike Timing-Dependent Plasticity.. International Conference on Artificial Intelligence. 168–173. 14 indexed citations
17.
O’Neill, Eileen, Nancy M. Dluhy, Paul Fortier, & Howard Michel. (2004). Knowledge acquisition, synthesis, and validation: a model for decision support systems. Journal of Advanced Nursing. 47(2). 134–142. 30 indexed citations
18.
Michel, Howard, et al.. (2002). Noise and cross talk study in an optical neural network. 2. 662–669.
19.
Awwal, Abdul Ahad S., et al.. (2000). Multivalued Optical Parallel Computation Using an Optical Programmable Logic Array.. Informatica (slovenia). 24. 5 indexed citations
20.
Michel, Howard & Abdul Ahad S. Awwal. (1998). <title>Analysis and evaluation of electro-optic artificial neural network performance in the presence of nonideal components</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 3388. 2–10.

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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