Marc Frîncu
- Computer Networks and Communications top 5%
- Information Systems top 5%
- Artificial Intelligence top 10%
- Electrical and Electronic Engineering
- Industrial and Manufacturing Engineering top 5%
- Co-authors
- Absalom E. EzugwuViktor K. PrasannaAderemi O. AdewumiCharalampos ChelmisYogesh SimmhanDana PetcuRanjan PalMuhammad Aslam Noor
- Topics
- Distributed and Parallel Computing Systems (31 papers)Cloud Computing and Resource Management (19 papers)Smart Grid Energy Management (12 papers)
- Cited by
- Computer Networks and CommunicationsInformation SystemsIndustrial and Manufacturing Engineering
- Journals
- Expert Systems with ApplicationsFuture Generation Computer SystemsIEEE Transactions on Parallel and Distributed Systems
- Partner nations
- RomaniaUnited StatesUnited Kingdom
In The Last Decade
Marc Frîncu
65 papers receiving 579 citations
Peers
Comparison fields: 5 of 65
- Computer Networks and Communications 279
- Information Systems 216
- Artificial Intelligence 184
- Electrical and Electronic Engineering 137
- Industrial and Manufacturing Engineering 93
Countries citing papers authored by Marc Frîncu
This map shows the geographic impact of Marc Frîncu'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 Marc Frîncu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc Frîncu more than expected).
Fields of papers citing papers by Marc Frîncu
This network shows the impact of papers produced by Marc Frîncu. 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 Marc Frîncu. The network helps show where Marc Frîncu may publish in the future.
Co-authorship network of co-authors of Marc Frîncu
This figure shows the co-authorship network connecting the top 25 collaborators of Marc Frîncu. A scholar is included among the top collaborators of Marc Frîncu 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 Marc Frîncu. Marc Frîncu 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 | 3 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 144 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 4 | |
| 9 | 3 | |
| 10 | Estimating Reduced Consumption for Dynamic Demand Response | 7 |
| 11 | 9 | |
| 12 | 13 | |
| 13 | 29 | |
| 14 | 32 | |
| 15 | 39 | |
| 16 | 2 | |
| 17 | 1 | |
| 18 | 3 | |
| 19 | 3 | |
| 20 | 10 |
About Marc Frîncu
Marc Frîncu is a scholar working on Computer Networks and Communications, Information Systems and Management and Information Systems, having authored 70 papers that have together received 606 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (31 papers), Cloud Computing and Resource Management (19 papers) and Smart Grid Energy Management (12 papers). The work is most often cited by research in Computer Networks and Communications (279 citations), Information Systems (216 citations) and Industrial and Manufacturing Engineering (93 citations). Marc Frîncu has collaborated with scholars based in Romania, United States and United Kingdom. Frequent co-authors include Absalom E. Ezugwu, Viktor K. Prasanna, Aderemi O. Adewumi, Charalampos Chelmis, Yogesh Simmhan, Dana Petcu, Ranjan Pal, Muhammad Aslam Noor, Patrick Small and Saima Aman. Their work appears in journals such as Expert Systems with Applications, Future Generation Computer Systems and IEEE Transactions on Parallel and Distributed Systems.
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.