Donald J. Bucci
- Artificial Intelligence top 10%
- Aerospace Engineering top 10%
- Computer Networks and Communications top 10%
- Electrical and Electronic Engineering
- Control and Systems Engineering
- Co-authors
- Pramod K. VarshneyPramod AbichandaniPranay SharmaMoshe KamDeepan LoboYingbin LiangBiao ChenSwastik Brahma
- Topics
- Target Tracking and Data Fusion in Sensor Networks (10 papers)Distributed Control Multi-Agent Systems (6 papers)Distributed Sensor Networks and Detection Algorithms (6 papers)
- Journals
- IEEE Transactions on Signal ProcessingIEEE AccessIEEE Transactions on Wireless Communications
- Partner nations
- United StatesCanada
In The Last Decade
Donald J. Bucci
26 papers receiving 308 citations
Peers
Comparison fields: 5 of 61
- Artificial Intelligence 114
- Aerospace Engineering 113
- Computer Networks and Communications 105
- Electrical and Electronic Engineering 81
- Control and Systems Engineering 44
Countries citing papers authored by Donald J. Bucci
This map shows the geographic impact of Donald J. Bucci'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 J. Bucci with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Donald J. Bucci more than expected).
Fields of papers citing papers by Donald J. Bucci
This network shows the impact of papers produced by Donald J. Bucci. 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 J. Bucci. The network helps show where Donald J. Bucci may publish in the future.
Co-authorship network of co-authors of Donald J. Bucci
This figure shows the co-authorship network connecting the top 25 collaborators of Donald J. Bucci. A scholar is included among the top collaborators of Donald J. Bucci 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 Donald J. Bucci. Donald J. Bucci is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 7 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 20 | |
| 7 | 10 | |
| 8 | 80 | |
| 9 | 27 | |
| 10 | 44 | |
| 11 | 0 | |
| 12 | 18 | |
| 13 | 3 | |
| 14 | 2 | |
| 15 | 6 | |
| 16 | 6 | |
| 17 | 1 | |
| 18 | 2 | |
| 19 | 1 | |
| 20 | 2 |
About Donald J. Bucci
Donald J. Bucci is a scholar working on Computer Networks and Communications, General Decision Sciences and Artificial Intelligence, having authored 31 papers that have together received 312 indexed citations. Recurring topics across this work include Target Tracking and Data Fusion in Sensor Networks (10 papers), Distributed Control Multi-Agent Systems (6 papers) and Distributed Sensor Networks and Detection Algorithms (6 papers). The work is most often cited by research in Computer Networks and Communications (105 citations), Aerospace Engineering (113 citations) and Artificial Intelligence (114 citations). Donald J. Bucci has collaborated with scholars based in United States and Canada. Frequent co-authors include Pramod K. Varshney, Pramod Abichandani, Pranay Sharma, Moshe Kam, Deepan Lobo, Yingbin Liang, Biao Chen, Swastik Brahma, Qunwei Li and Kapil R. Dandekar. Their work appears in journals such as IEEE Transactions on Signal Processing, IEEE Access and IEEE Transactions on Wireless Communications.
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.