Donald M. Chiarulli

1.3k citations
96 papers · 835 indexed · h-index 17

Donald M. Chiarulli

89 papers receiving 799 citations

Peers

Donald M. Chiarulli
Comparison fields: 5 of 44
  • Hardware and Architecture 181
  • Electrical and Electronic Engineering 660
  • Computer Networks and Communications 240
  • Computational Theory and Mathematics 68
  • Artificial Intelligence 97
Replace Dietmar Fey with:
Dietmar Fey Germany
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Édith Beigné France
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Donald M. Chiarulli relative to Dietmar Fey Germany Dietmar Fey's profile →
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Citations per year

Countries citing papers authored by Donald M. Chiarulli

Since Specialization
Citations

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

Fields of papers citing papers by Donald M. Chiarulli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Donald M. Chiarulli. 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 Donald M. Chiarulli. The network helps show where Donald M. Chiarulli may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Donald M. Chiarulli, 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 Donald M. Chiarulli Line = papers co-authored together Donald M. Chiarulli links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20155
2
Feature-aided multiple-hypothesis tracking and classification of biological cells
20144
3 201423
4 20144
5 20061
6 200418
7 20034
8 20016
9 200026
10 19995
11 19984
12
Predicting Multiprocessor Memory Access Patterns with Learning Models
199716
13 19955
14 19931
15 19931
16
Multicasting in Optical Bus Connected Processors Using Coincident Pulse Techniques.
19914
17 199177
18 19908
19
Parallel Processing of Quadtrees on a Horizontally Reconfigurable Architecture Computing System.
198613
20 19842

About Donald M. Chiarulli

Donald M. Chiarulli is a scholar working on Hardware and Architecture, Electrical and Electronic Engineering and Computer Networks and Communications, having authored 96 papers that have together received 835 indexed citations. Recurring topics across this work include Semiconductor Lasers and Optical Devices (42 papers), Photonic and Optical Devices (30 papers), Optical Network Technologies (22 papers), Advanced Optical Network Technologies (16 papers), Interconnection Networks and Systems (14 papers), Advanced Memory and Neural Computing (13 papers), Neural Networks and Reservoir Computing (11 papers) and Advanced MEMS and NEMS Technologies (9 papers). The work is most often cited by research in Hardware and Architecture (181 citations), Electrical and Electronic Engineering (660 citations) and Computer Networks and Communications (240 citations). Donald M. Chiarulli has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include Steven P. Levitan, Rami Melhem, Richard Hall, Jim Plusquellic, Zicheng Guo, José A. Martínez, Timothy P. Kurzweg, Chunming Qiao, Philippe Marchand and Yan Fang.

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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