William Perrizo

1.0k citations
93 papers · 524 · h-index 12

Impact in

Papers in

William Perrizo

79 papers receiving 459 citations

Peers

William Perrizo
Comparison fields: 5 of 90
  • Signal Processing 138
  • Artificial Intelligence 261
  • Information Systems 175
  • Computer Networks and Communications 128
  • Computational Theory and Mathematics 60
Replace Dan A. Simovici with:
Dan A. Simovici United States
Amer Aljaedi Saudi Arabia
Francesco M. Malvestuto Italy
Jennifer Gillenwater United States
Henrik Legind Larsen Denmark
Anthony Brockwell United States
Rafael C. Carrasco Spain
Andreas Lommatzsch Germany
Rudolf Bayer Germany
Karl Pettis United States
William Perrizo relative to Dan A. Simovici United States Dan A. Simovici's profile →
Citations per field
00.5×1.6×
Dan A. Simovici · 1×
Citations per year

Countries citing papers authored by William Perrizo

Since Specialization
Citations

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

Fields of papers citing papers by William Perrizo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside William Perrizo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with William Perrizo Line = papers co-authored together William Perrizo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 93 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200457
2 200835
3 200232
4 200531
5 200230
6 197821
7 200418
8 199116
9 200616
10 200414
11 200213
12 199411
13 201610
14 20009
15
On Mining Satellite and other Remotely Sensed Images.
20019
16
Domain Vector Accelerator for Relational Operations
19918
17 20028
18 19908
19 20048
20 19898

About William Perrizo

William Perrizo is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Signal Processing and Computational Theory and Mathematics, having authored 93 papers that have together received 524 indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (32 papers), Data Management and Algorithms (31 papers), Advanced Database Systems and Queries (20 papers), Distributed systems and fault tolerance (15 papers), Rough Sets and Fuzzy Logic (12 papers), Algorithms and Data Compression (10 papers), Advanced Clustering Algorithms Research (8 papers) and Advanced Data Storage Technologies (8 papers). The work is most often cited by research in Signal Processing (138 citations), Artificial Intelligence (261 citations), Information Systems (175 citations), Computer Networks and Communications (128 citations) and Computational Theory and Mathematics (60 citations). William Perrizo has collaborated with scholars based in United States, China and Switzerland. Frequent co-authors include Qin Ding, Qiang Ding, Baoying Wang, Taufik Fuadi Abidin, Robert Ellis, Anne Denton, Amal Shehan Perera, Brajendra Panda, Ramzi A. Haraty and Wherly P. Hoffman. Their work appears in journals such as Information Sciences, Journal of Biomedical Informatics, Networks, IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) and IEEE Transactions on Knowledge and Data Engineering.

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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