G. Mergen
- Computer Networks and Communications top 2%
- Electrical and Electronic Engineering top 10%
- Artificial Intelligence top 10%
- Biomedical Engineering
- Computational Mechanics
- Co-authors
- Lang TongV. NawareQing ZhaoBirsen Sirkeci‐MergenAnna ScaglioneAnanthram SwamiParv VenkitasubramaniamMichael Gastpar
- Topics
- Advanced Wireless Network Optimization (7 papers)Target Tracking and Data Fusion in Sensor Networks (6 papers)Distributed Sensor Networks and Detection Algorithms (6 papers)
- Cited by
- Computer Networks and CommunicationsElectrical and Electronic EngineeringArtificial Intelligence
- Journals
- IEEE Transactions on Information TheoryIEEE Transactions on Signal ProcessingIEEE Communications Magazine
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
G. Mergen
16 papers receiving 737 citations
Peers
Comparison fields: 5 of 23
- Computer Networks and Communications 740
- Electrical and Electronic Engineering 503
- Artificial Intelligence 138
- Biomedical Engineering 22
- Computational Mechanics 21
Countries citing papers authored by G. Mergen
This map shows the geographic impact of G. Mergen'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 G. Mergen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Mergen more than expected).
Fields of papers citing papers by G. Mergen
This network shows the impact of papers produced by G. Mergen. 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 G. Mergen. The network helps show where G. Mergen may publish in the future.
Co-authorship network of co-authors of G. Mergen
This figure shows the co-authorship network connecting the top 25 collaborators of G. Mergen. A scholar is included among the top collaborators of G. Mergen 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 G. Mergen. G. Mergen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 3 | |
| 3 | 12 | |
| 4 | 104 | |
| 5 | 8 | |
| 6 | 148 | |
| 7 | 16 | |
| 8 | 31 | |
| 9 | 18 | |
| 10 | 212 | |
| 11 | On the Asymptotic Stable Throughput of Opportunistic Random Access | 4 |
| 12 | Estimation Over Deterministic Multiaccess Channels | 14 |
| 13 | 12 | |
| 14 | 2 | |
| 15 | 29 | |
| 16 | 159 |
About G. Mergen
G. Mergen is a scholar working on Computer Networks and Communications, Statistics and Probability and Electrical and Electronic Engineering, having authored 16 papers that have together received 775 indexed citations. Recurring topics across this work include Advanced Wireless Network Optimization (7 papers), Target Tracking and Data Fusion in Sensor Networks (6 papers) and Distributed Sensor Networks and Detection Algorithms (6 papers). The work is most often cited by research in Computer Networks and Communications (740 citations), Electrical and Electronic Engineering (503 citations) and Artificial Intelligence (138 citations). G. Mergen has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Lang Tong, V. Naware, Qing Zhao, Birsen Sirkeci‐Mergen, Anna Scaglione, Lang Tong, Ananthram Swami, Parv Venkitasubramaniam, Michael Gastpar and A.A. Salvekar. Their work appears in journals such as IEEE Transactions on Information Theory, IEEE Transactions on Signal Processing and IEEE Communications Magazine.
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.