Fernando Mujica
- Computer Networks and Communications top 1%
- Electrical and Electronic Engineering top 10%
- Hardware and Architecture top 5%
- Information Systems top 5%
- Artificial Intelligence top 10%
- Co-authors
- Mark HorowitzNick McKeownMartin IzzardGeorge VargheseHun-Seok KimGlen GibbZigang YangLei Ding
- Topics
- Advancements in PLL and VCO Technologies (6 papers)Image and Signal Denoising Methods (5 papers)Analog and Mixed-Signal Circuit Design (5 papers)
- Journals
- IEEE Transactions on Image ProcessingACM SIGCOMM Computer Communication ReviewSIAM Journal on Applied Mathematics
- Partner nations
- United StatesIndia
In The Last Decade
Fernando Mujica
14 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 49
- Computer Networks and Communications 870
- Electrical and Electronic Engineering 315
- Hardware and Architecture 197
- Information Systems 185
- Artificial Intelligence 127
Countries citing papers authored by Fernando Mujica
This map shows the geographic impact of Fernando Mujica'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 Fernando Mujica with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fernando Mujica more than expected).
Fields of papers citing papers by Fernando Mujica
This network shows the impact of papers produced by Fernando Mujica. 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 Fernando Mujica. The network helps show where Fernando Mujica may publish in the future.
Co-authorship network of co-authors of Fernando Mujica
This figure shows the co-authorship network connecting the top 25 collaborators of Fernando Mujica. A scholar is included among the top collaborators of Fernando Mujica 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 Fernando Mujica. Fernando Mujica is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 1 | |
| 3 | 12 | |
| 4 | 74 | |
| 5 | Forwarding metamorphosisbreakdown → | 300 |
| 6 | Forwarding metamorphosisbreakdown → | 594 |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 9 | |
| 12 | 31 | |
| 13 | 2 | |
| 14 | 11 | |
| 15 | 5 | |
| 16 | 1 |
About Fernando Mujica
Fernando Mujica is a scholar working on Media Technology, Hardware and Architecture and Computer Vision and Pattern Recognition, having authored 16 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advancements in PLL and VCO Technologies (6 papers), Image and Signal Denoising Methods (5 papers) and Analog and Mixed-Signal Circuit Design (5 papers). The work is most often cited by research in Computer Networks and Communications (870 citations), Hardware and Architecture (197 citations) and Information Systems (185 citations). Fernando Mujica has collaborated with scholars based in United States and India. Frequent co-authors include Mark Horowitz, Nick McKeown, Martin Izzard, George Varghese, Hun-Seok Kim, Glen Gibb, Zigang Yang, Lei Ding, Romain Murenzi and Jean-Pierre Leduc. Their work appears in journals such as IEEE Transactions on Image Processing, ACM SIGCOMM Computer Communication Review and SIAM Journal on Applied Mathematics.
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.