Michael Perrone

2.0k total citations
43 papers, 746 citations indexed

About

Michael Perrone is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Michael Perrone has authored 43 papers receiving a total of 746 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 16 papers in Computer Vision and Pattern Recognition and 12 papers in Computer Networks and Communications. Recurrent topics in Michael Perrone's work include Handwritten Text Recognition Techniques (11 papers), Parallel Computing and Optimization Techniques (8 papers) and Advanced Data Storage Technologies (7 papers). Michael Perrone is often cited by papers focused on Handwritten Text Recognition Techniques (11 papers), Parallel Computing and Optimization Techniques (8 papers) and Advanced Data Storage Technologies (7 papers). Michael Perrone collaborates with scholars based in United States, Taiwan and Italy. Michael Perrone's co-authors include Fabrizio Petrini, Michael Kistler, Faisal Farooq, Venu Govindaraju, John F. Pitrelli, Ana Lucia Vărbănescu, Juan Fernández, J. Subrahmonia, K. S. Nathan and José Santos-Victor and has published in prestigious journals such as The Journal of the Acoustical Society of America, Muscle & Nerve and IBM Journal of Research and Development.

In The Last Decade

Michael Perrone

42 papers receiving 688 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael Perrone United States	13	280	237	229	223	67	43	746
Manuel Ujaldón Spain	13	185 0.7×	165 0.7×	128 0.6×	193 0.9×	44 0.7×	47	581
Christian Tenllado Spain	10	93 0.3×	170 0.7×	246 1.1×	186 0.8×	92 1.4×	34	566
F.J. Seinstra Netherlands	14	149 0.5×	315 1.3×	146 0.6×	316 1.4×	59 0.9×	55	875
Mary Inaba Japan	10	193 0.7×	215 0.9×	144 0.6×	133 0.6×	48 0.7×	28	530
Yifan He China	15	616 2.2×	98 0.4×	163 0.7×	259 1.2×	159 2.4×	139	1.2k
Miaoqing Huang United States	12	185 0.7×	270 1.1×	314 1.4×	82 0.4×	98 1.5×	69	649
Ana Lucia Vărbănescu Netherlands	13	143 0.5×	477 2.0×	453 2.0×	226 1.0×	89 1.3×	67	836
M. Ravishankar India	16	59 0.2×	171 0.7×	229 1.0×	160 0.7×	56 0.8×	54	484
Jianwei Li China	10	84 0.3×	293 1.2×	135 0.6×	105 0.5×	33 0.5×	25	521

Countries citing papers authored by Michael Perrone

Since Specialization

Citations

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

Fields of papers citing papers by Michael Perrone

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Perrone

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

All Works

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20 of 20 papers shown

Perrone, Michael, et al.. (2025). Exploring behavioural intentions behind biochar technology adoption in agriculture. Sustainable Production and Consumption. 61. 66–81. 1 indexed citations

Hassanzadeh, Oktie, Debarun Bhattacharjya, Mark Feblowitz, et al.. (2019). Answering Binary Causal Questions Through Large-Scale Text Mining: An Evaluation Using Cause-Effect Pairs from Human Experts. 5003–5009. 32 indexed citations

Rosenburg, Bryan S., et al.. (2016). Speeding Up Stencil Computations with Kernel Convolution. 40. 76–83. 1 indexed citations

Wang, Daqing, I‐Hsin Chung, Che–Rung Lee, Michael Perrone, & Yeh‐Ching Chung. (2015). Hardware Thread-Level Speculation Performance Analysis. 900–903. 1 indexed citations

Jordan, Kirk E., Dinesh Kaushik, Michael Perrone, et al.. (2012). Coupling a Basin Modeling and a Seismic Code using MOAB. Procedia Computer Science. 9. 986–993. 3 indexed citations

Perrone, Michael, et al.. (2008). HMMer-Cell: High Performance Protein Profile Searching on the Cell/B.E. Processor. 223–232. 10 indexed citations

Petrini, Fabrizio, et al.. (2007). Multicore Surprises: Lessons Learned from Optimizing Sweep3D on the Cell Broadband Engine. 1–10. 65 indexed citations

Perrone, Michael, et al.. (2006). Cell BE---Cell BE software programming and toolkits. 10–10. 1 indexed citations

Pitrelli, John F., J. Subrahmonia, & Michael Perrone. (2006). Confidence modeling for handwriting recognition: algorithms and applications. International Journal on Document Analysis and Recognition (IJDAR). 8(1). 35–46. 7 indexed citations

10.

Milani, Simone, et al.. (2006). Non-stop forwarding behaviour and performance in high-end IP routers for ISP's backbone networks. 279–285. 1 indexed citations

11.

Kistler, Michael, Michael Perrone, & Fabrizio Petrini. (2006). Cell Multiprocessor Communication Network: Built for Speed. IEEE Micro. 26(3). 10–23. 225 indexed citations

12.

Cho, Sung-Jung, Michael Perrone, & E. Ratzlaff. (2004). Probability table compression for handwritten character recognition. 1. 173–177. 2 indexed citations

13.

Pitrelli, John F. & Michael Perrone. (2003). Confidence modeling for verification post-processing for handwriting recognition. 30–35. 12 indexed citations

14.

Perrone, Michael, et al.. (2003). Active face and feature tracking. 572–576. 28 indexed citations

15.

Perrone, Michael, et al.. (2002). Machine learning in a multimedia document retrieval framework. IBM Systems Journal. 41(3). 494–503. 1 indexed citations

16.

Perrone, Michael. (1998). Averaging/modular techniques for neural networks. MIT Press eBooks. 126–128. 13 indexed citations

17.

Shouval, Harel Z. & Michael Perrone. (1998). Post-Hebbian learning rules. MIT Press eBooks. 745–748. 8 indexed citations

18.

Gilchrist, James M., Michael Perrone, & John Ross. (1995). Dynamical analysis of neuromuscular transmission jitter. Muscle & Nerve. 18(7). 685–692. 5 indexed citations

19.

Perrone, Michael. (1993). Putting It All Together: Methods for Combining Neural Networks. Neural Information Processing Systems. 6. 1188–1189. 22 indexed citations

20.

Perrone, Michael. (1993). Improving regression estimation: Averaging methods for variance reduction with extensions to general convex measure optimization. Medical Entomology and Zoology. 111 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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