Rohan Tabish

718 total citations
25 papers, 514 citations indexed

About

Rohan Tabish is a scholar working on Hardware and Architecture, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Rohan Tabish has authored 25 papers receiving a total of 514 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Hardware and Architecture, 15 papers in Computer Networks and Communications and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Rohan Tabish's work include Real-Time Systems Scheduling (15 papers), Parallel Computing and Optimization Techniques (12 papers) and Embedded Systems Design Techniques (6 papers). Rohan Tabish is often cited by papers focused on Real-Time Systems Scheduling (15 papers), Parallel Computing and Optimization Techniques (12 papers) and Embedded Systems Design Techniques (6 papers). Rohan Tabish collaborates with scholars based in United States, Germany and Canada. Rohan Tabish's co-authors include Farid Touati, Adel Ben Mnaouer, Renato Mancuso, Marco Caccamo, Rodolfo Pellizzoni, Saud Wasly, Mohammed Al‐Hitmi, Kamel Benhmed, Ulrich Drepper and Lui Sha and has published in prestigious journals such as Communications of the ACM, IEEE Transactions on Computers and Computers and Electronics in Agriculture.

In The Last Decade

Rohan Tabish

25 papers receiving 495 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Rohan Tabish United States 13 259 159 108 106 86 25 514
Vasileios Tsoutsouras Greece 10 266 1.0× 71 0.4× 84 0.8× 68 0.6× 133 1.5× 27 432
T. S. B. Sudarshan India 11 159 0.6× 48 0.3× 22 0.2× 98 0.9× 97 1.1× 60 347
Tetsuya Oda Japan 15 594 2.3× 66 0.4× 22 0.2× 118 1.1× 308 3.6× 152 782
Thanos Stathopoulos United States 13 323 1.2× 86 0.5× 58 0.5× 85 0.8× 157 1.8× 28 445
Kalpana Sharma India 11 233 0.9× 18 0.1× 23 0.2× 42 0.4× 90 1.0× 59 425
Debabrata Singh India 10 147 0.6× 25 0.2× 19 0.2× 42 0.4× 74 0.9× 52 375
O. Sarbishei Canada 11 29 0.1× 67 0.4× 55 0.5× 71 0.7× 109 1.3× 26 332
Bing Xiong China 11 323 1.2× 15 0.1× 32 0.3× 133 1.3× 166 1.9× 43 606
Shanker Shreejith Singapore 12 218 0.8× 261 1.6× 16 0.1× 28 0.3× 190 2.2× 40 453
H. V. Ravish Aradhya India 13 53 0.2× 30 0.2× 39 0.4× 225 2.1× 148 1.7× 54 481

Countries citing papers authored by Rohan Tabish

Since Specialization
Citations

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

Fields of papers citing papers by Rohan Tabish

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rohan Tabish

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

All Works

20 of 20 papers shown
1.
Liu, Shengzhong, Shuochao Yao, Xinzhe Fu, et al.. (2024). Taming Algorithmic Priority Inversion in Mission-Critical Perception Pipelines. Communications of the ACM. 67(2). 110–117. 2 indexed citations
2.
Gracioli, Giovani, et al.. (2023). Lazy Load Scheduling for Mixed-criticality Applications in Heterogeneous MPSoCs. ACM Transactions on Embedded Computing Systems. 22(3). 1–26. 3 indexed citations
3.
Tabish, Rohan, et al.. (2023). X-Stream: Accelerating streaming segments on MPSoCs for real-time applications. Journal of Systems Architecture. 138. 102857–102857. 2 indexed citations
4.
Tabish, Rohan, et al.. (2022). SchedGuard++: Protecting against Schedule Leaks Using Linux Containers on Multi-Core Processors. ACM Transactions on Cyber-Physical Systems. 7(1). 1–25. 1 indexed citations
5.
Tabish, Rohan, et al.. (2022). Profile-driven memory bandwidth management for accelerators and CPUs in QoS-enabled platforms. Real-Time Systems. 58(3). 235–274. 6 indexed citations
6.
Tabish, Rohan, et al.. (2021). SchedGuard: Protecting against Schedule Leaks Using Linux Containers. mediaTUM (Technical University of Munich). 14–26. 5 indexed citations
7.
Tabish, Rohan, Rodolfo Pellizzoni, Renato Mancuso, et al.. (2021). An Analyzable Inter-core Communication Framework for High-Performance Multicore Embedded Systems. Journal of Systems Architecture. 118. 102178–102178. 4 indexed citations
8.
Liu, Shengzhong, Shuochao Yao, Xinzhe Fu, et al.. (2021). Real-Time Task Scheduling for Machine Perception in In Intelligent Cyber-Physical Systems. IEEE Transactions on Computers. 1–1. 20 indexed citations
9.
Tabish, Rohan, et al.. (2021). A Real-Time Virtio-Based Framework for Predictable Inter-VM Communication. 27–40. 11 indexed citations
10.
Tabish, Rohan, et al.. (2020). E-WarP: A System-wide Framework for Memory Bandwidth Profiling and Management. 345–357. 25 indexed citations
11.
Liu, Shengzhong, Shuochao Yao, Xinzhe Fu, et al.. (2020). On Removing Algorithmic Priority Inversion from Mission-critical Machine Inference Pipelines. 319–332. 35 indexed citations
12.
Tabish, Rohan, Renato Mancuso, Saud Wasly, Rodolfo Pellizzoni, & Marco Caccamo. (2019). A real-time scratchpad-centric OS with predictable inter/intra-core communication for multi-core embedded systems. Real-Time Systems. 55(4). 850–888. 28 indexed citations
13.
Gracioli, Giovani, et al.. (2019). Segment Streaming for the Three-Phase Execution Model: Design and Implementation. 260–273. 4 indexed citations
14.
Gracioli, Giovani, et al.. (2019). Designing Mixed Criticality Applications on Modern Heterogeneous MPSoC Platforms. DROPS (Schloss Dagstuhl – Leibniz Center for Informatics). 25. 19 indexed citations
15.
Tabish, Rohan, et al.. (2018). Evaluating memory subsystem of configurable heterogeneous MPSoC. OpenBU/Boston University Institutional Repository (Boston University). 7 indexed citations
16.
Tabish, Rohan, et al.. (2017). A Reliable and Predictable Scratchpad-centric OS for Multi-core Embedded Systems. 377–388. 3 indexed citations
17.
Tabish, Rohan, et al.. (2017). Application and system-level software fault tolerance through full system restarts. 197–206. 19 indexed citations
18.
Touati, Farid & Rohan Tabish. (2013). U-Healthcare System: State-of-the-Art Review and Challenges. Journal of Medical Systems. 37(3). 9949–9949. 120 indexed citations
19.
Touati, Farid, Rohan Tabish, & Adel Ben Mnaouer. (2013). Towards u-health: An indoor 6LoWPAN based platform for real-time healthcare monitoring. Qatar University QSpace (Qatar University). 1–4. 28 indexed citations
20.
Touati, Farid, Rohan Tabish, & Adel Ben Mnaouer. (2013). A Real-time BLE Enabled ECG System for Remote Monitoring. APCBEE Procedia. 7. 124–131. 18 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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