Arpit Joshi

402 total citations
12 papers, 265 citations indexed

About

Arpit Joshi is a scholar working on Computer Networks and Communications, Hardware and Architecture and Electrical and Electronic Engineering. According to data from OpenAlex, Arpit Joshi has authored 12 papers receiving a total of 265 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Networks and Communications, 7 papers in Hardware and Architecture and 4 papers in Electrical and Electronic Engineering. Recurrent topics in Arpit Joshi's work include Parallel Computing and Optimization Techniques (6 papers), Advanced Data Storage Technologies (5 papers) and Distributed systems and fault tolerance (4 papers). Arpit Joshi is often cited by papers focused on Parallel Computing and Optimization Techniques (6 papers), Advanced Data Storage Technologies (5 papers) and Distributed systems and fault tolerance (4 papers). Arpit Joshi collaborates with scholars based in United Kingdom, India and Germany. Arpit Joshi's co-authors include Vijay Nagarajan, Marcelo Cintra, Stratis D. Viglas, Boris Grot, Madhu Mutyam, Cheng‐Chieh Huang and Yash Patel and has published in prestigious journals such as ACM Transactions on Design Automation of Electronic Systems, IET Computers & Digital Techniques and Edinburgh Research Explorer (University of Edinburgh).

In The Last Decade

Arpit Joshi

12 papers receiving 263 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Arpit Joshi United Kingdom	7	231	218	85	41	11	12	265
Michael Zhang United States	6	300 1.3×	278 1.3×	72 0.8×	56 1.4×	14 1.3×	9	342
Larry Kaplan United States	5	201 0.9×	137 0.6×	66 0.8×	47 1.1×	10 0.9×	12	218
Jianhui Yue United States	9	241 1.0×	191 0.9×	86 1.0×	64 1.6×	20 1.8×	31	277
Sai Prashanth Muralidhara United States	7	262 1.1×	267 1.2×	52 0.6×	102 2.5×	11 1.0×	11	307
Lukasz G. Szafaryn United States	6	197 0.9×	245 1.1×	101 1.2×	62 1.5×	17 1.5×	10	288
Ayose Falcón Spain	7	254 1.1×	265 1.2×	56 0.7×	47 1.1×	6 0.5×	17	303
I. Kolcu United States	12	274 1.2×	335 1.5×	135 1.6×	67 1.6×	15 1.4×	30	371
Brian A. Fields United States	7	299 1.3×	383 1.8×	139 1.6×	48 1.2×	9 0.8×	10	400
Vasileios Spiliopoulos Sweden	10	193 0.8×	286 1.3×	117 1.4×	89 2.2×	6 0.5×	14	300
Carl J. Mauer United States	7	403 1.7×	400 1.8×	119 1.4×	44 1.1×	11 1.0×	9	452

Countries citing papers authored by Arpit Joshi

Since Specialization

Citations

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

Fields of papers citing papers by Arpit Joshi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arpit Joshi

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

All Works

Sort: Min cites: Since: Top N: Style:

12 of 12 papers shown

1.

Joshi, Arpit, et al.. (2023). Waterpipe Use and Its Cardiovascular Effects: A Systematic Review and Meta-Analysis of Case-Control, Cross-Sectional, and Non-Randomized Studies. Cureus. 15(2). e34802–e34802. 8 indexed citations

2.

Joshi, Arpit, et al.. (2020). Lazy Release Persistency. 1173–1186. 10 indexed citations

3.

Nagarajan, Vijay, et al.. (2020). Kite. Edinburgh Research Explorer (University of Edinburgh). 1–16. 6 indexed citations

4.

Joshi, Arpit, et al.. (2018). Scale-out ccNUMA. Edinburgh Research Explorer. 1–15. 19 indexed citations

5.

Joshi, Arpit, Vijay Nagarajan, Marcelo Cintra, & Stratis D. Viglas. (2018). DHTM: Durable Hardware Transactional Memory. Edinburgh Research Explorer (University of Edinburgh). 452–465. 42 indexed citations

6.

Joshi, Arpit, Vijay Nagarajan, Stratis D. Viglas, & Marcelo Cintra. (2017). ATOM: Atomic Durability in Non-volatile Memory through Hardware Logging. Edinburgh Research Explorer. 361–372. 85 indexed citations

7.

Huang, Cheng‐Chieh, Vijay Nagarajan, & Arpit Joshi. (2016). DCA: A DRAM-cache-Aware DRAM Controller. Edinburgh Research Explorer. abs 1504 390. 887–897. 5 indexed citations

8.

Joshi, Arpit, Vijay Nagarajan, Marcelo Cintra, & Stratis D. Viglas. (2015). Efficient persist barriers for multicores. 660–671. 77 indexed citations

9.

Cintra, Marcelo, et al.. (2015). The 6th Annual Non-Volatile Memories Workshop (NVMW 2015). 3 indexed citations

10.

Joshi, Arpit, et al.. (2013). Prevention slot flow‐control mechanism for low latency torus network‐on‐chip. IET Computers & Digital Techniques. 7(6). 304–316. 1 indexed citations

11.

Joshi, Arpit, et al.. (2011). Timing variation-aware scheduling and resource binding in high-level synthesis. ACM Transactions on Design Automation of Electronic Systems. 16(4). 1–19. 5 indexed citations

12.

Joshi, Arpit & Madhu Mutyam. (2011). Prevention flow-control for low latency torus Networks-on-Chip. 41–48. 4 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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