Naif Tarafdar

405 total citations
12 papers, 258 citations indexed

About

Naif Tarafdar is a scholar working on Computer Networks and Communications, Hardware and Architecture and Information Systems. According to data from OpenAlex, Naif Tarafdar has authored 12 papers receiving a total of 258 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Networks and Communications, 7 papers in Hardware and Architecture and 4 papers in Information Systems. Recurrent topics in Naif Tarafdar's work include Software-Defined Networks and 5G (6 papers), Parallel Computing and Optimization Techniques (5 papers) and Cloud Computing and Resource Management (4 papers). Naif Tarafdar is often cited by papers focused on Software-Defined Networks and 5G (6 papers), Parallel Computing and Optimization Techniques (5 papers) and Cloud Computing and Resource Management (4 papers). Naif Tarafdar collaborates with scholars based in Canada, Switzerland and United States. Naif Tarafdar's co-authors include Paul Chow, Alberto Leon‐Garcia, Hadi Bannazadeh, Hans‐Arno Jacobsen, Harsh Vikram Singh, Mohammad Sadoghi, Ahmed Sanaullah, Miriam Leeser, Christophe Bobda and Russell Tessier and has published in prestigious journals such as IEEE Micro, IEEE Design and Test and ACM Transactions on Reconfigurable Technology and Systems.

In The Last Decade

Naif Tarafdar

12 papers receiving 252 citations

Peers

Naif Tarafdar

HA

CNC

EEE

AI

IS

Abdullah Muzahid United States

Behnam Robatmili United States

Paul Franklin United States

A. Gordon Smith United States

José González Spain

Vinh Lam United States

Vassilis Papaefstathiou Greece

Tiago Mück United States

Resit Sendag United States

Abdullah Muzahid United States

Naif Tarafdar

177 ×1.1

HA

178 ×1.1

CNC

76 ×1.0

EEE

69 ×1.1

AI

46 ×1.0

IS

Citations per year, relative to Naif Tarafdar Naif Tarafdar (= 1×) peers Abdullah Muzahid

Countries citing papers authored by Naif Tarafdar

Since Specialization

Citations

This map shows the geographic impact of Naif Tarafdar'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 Naif Tarafdar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Naif Tarafdar more than expected).

Fields of papers citing papers by Naif Tarafdar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Naif Tarafdar. 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 Naif Tarafdar. The network helps show where Naif Tarafdar may publish in the future.

Co-authorship network of co-authors of Naif Tarafdar

This figure shows the co-authorship network connecting the top 25 collaborators of Naif Tarafdar. A scholar is included among the top collaborators of Naif Tarafdar 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 Naif Tarafdar. Naif Tarafdar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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12 of 12 papers shown

1.

Bobda, Christophe, Paul Chow, Naif Tarafdar, et al.. (2022). The Future of FPGA Acceleration in Datacenters and the Cloud. ACM Transactions on Reconfigurable Technology and Systems. 15(3). 1–42. 78 indexed citations

2.

Tarafdar, Naif, Giuseppe Di Guglielmo, Philip Harris, et al.. (2021). AIgean : An Open Framework for Deploying Machine Learning on Heterogeneous Clusters. ACM Transactions on Reconfigurable Technology and Systems. 15(3). 1–32. 7 indexed citations

3.

Tarafdar, Naif, Giuseppe Di Guglielmo, Philip Harris, et al.. (2020). AIgean: An Open Framework for Machine Learning on Heterogeneous Clusters. CERN Document Server (European Organization for Nuclear Research). 239–239. 4 indexed citations

4.

Tarafdar, Naif, et al.. (2019). A Modular Heterogeneous Stack for Deploying FPGAs and CPUs in the Data Center. 262–271. 15 indexed citations

5.

Tarafdar, Naif, et al.. (2019). Sonar: Writing Testbenches through Python. 16. 311–311. 1 indexed citations

6.

Tarafdar, Naif, et al.. (2018). Galapagos: A Full Stack Approach to FPGA Integration in the Cloud. IEEE Micro. 38(6). 18–24. 22 indexed citations

7.

Tarafdar, Naif, et al.. (2017). Enabling network function virtualization over heterogeneous resources. 58–63. 2 indexed citations

8.

Tarafdar, Naif, et al.. (2017). Enabling Flexible Network FPGA Clusters in a Heterogeneous Cloud Data Center. 237–246. 54 indexed citations

9.

Tarafdar, Naif, et al.. (2017). Designing for FPGAs in the Cloud. IEEE Design and Test. 35(1). 23–29. 26 indexed citations

10.

Tarafdar, Naif, et al.. (2017). Heterogeneous virtualized network function framework for the data center. 99. 1–8. 8 indexed citations

11.

Tarafdar, Naif, et al.. (2015). Expanding OpenFlow Capabilities with Virtualized Reconfigurable Hardware. 94–97. 5 indexed citations

12.

Sadoghi, Mohammad, et al.. (2012). Multi-query Stream Processing on FPGAs. 36 indexed citations

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.

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