Ibrahima Niang
- Computer Networks and Communications top 10%
- Information Systems top 10%
- Electrical and Electronic Engineering
- Infectious Diseases
- Artificial Intelligence
- Co-authors
- Bamba GueyeThomas NoëlShigeru KashiharaDoudou FallYouki KadobayashiYuzo TaenakaMonowar BhuyanMichel Misson
- Topics
- Energy Efficient Wireless Sensor Networks (10 papers)Mobile Ad Hoc Networks (8 papers)Service-Oriented Architecture and Web Services (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessAgricultural Systems
In The Last Decade
Ibrahima Niang
59 papers receiving 214 citations
Peers
Comparison fields: 5 of 82
- Computer Networks and Communications 118
- Information Systems 52
- Electrical and Electronic Engineering 38
- Infectious Diseases 25
- Artificial Intelligence 19
Countries citing papers authored by Ibrahima Niang
This map shows the geographic impact of Ibrahima Niang'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 Ibrahima Niang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ibrahima Niang more than expected).
Fields of papers citing papers by Ibrahima Niang
This network shows the impact of papers produced by Ibrahima Niang. 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 Ibrahima Niang. The network helps show where Ibrahima Niang may publish in the future.
Co-authorship network of co-authors of Ibrahima Niang
This figure shows the co-authorship network connecting the top 25 collaborators of Ibrahima Niang. A scholar is included among the top collaborators of Ibrahima Niang 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 Ibrahima Niang. Ibrahima Niang 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 | 0 | |
| 4 | 3 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 11 | |
| 8 | 2 | |
| 9 | 2 | |
| 10 | 1 | |
| 11 | 4 | |
| 12 | 2 | |
| 13 | 1 | |
| 14 | 0 | |
| 15 | 3 | |
| 16 | Using a Token Approach for the MAC Layer of Linear Sensor Networks - Impact of the Redundancy on the Throughput | 1 |
| 17 | Comparison Between Self-Stabilizing Clustering Algorithms in Message-Passing Model | 2 |
| 18 | Atlas des évolutions des systèmes pastoraux au Sahel : 1970-2012 | 5 |
| 19 | Xéroderma pigmentosum: première observation sénégalaise. | 1 |
| 20 | Encéphalites consécutives a la vaccination antiamarile (d'après 248 cas observés a Dakar en 1965) | 3 |
About Ibrahima Niang
Ibrahima Niang is a scholar working on Computer Networks and Communications, Information Systems and Forestry, having authored 78 papers that have together received 232 indexed citations. Recurring topics across this work include Energy Efficient Wireless Sensor Networks (10 papers), Mobile Ad Hoc Networks (8 papers) and Service-Oriented Architecture and Web Services (7 papers). The work is most often cited by research in Computer Networks and Communications (118 citations), Information Systems (52 citations) and Computer Science Applications (8 citations). Ibrahima Niang has collaborated with scholars based in Senegal, France and Japan. Frequent co-authors include Bamba Gueye, Thomas Noël, Shigeru Kashihara, Doudou Fall, Youki Kadobayashi, Yuzo Taenaka, Monowar Bhuyan, Michel Misson, Cheikh Ndiaye and Harshavardhan Thippareddi. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Agricultural 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.