Raghavan Raman

620 total citations
14 papers, 352 citations indexed

About

Raghavan Raman is a scholar working on Hardware and Architecture, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Raghavan Raman has authored 14 papers receiving a total of 352 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Hardware and Architecture, 11 papers in Computer Networks and Communications and 3 papers in Information Systems. Recurrent topics in Raghavan Raman's work include Parallel Computing and Optimization Techniques (11 papers), Distributed systems and fault tolerance (7 papers) and Distributed and Parallel Computing Systems (6 papers). Raghavan Raman is often cited by papers focused on Parallel Computing and Optimization Techniques (11 papers), Distributed systems and fault tolerance (7 papers) and Distributed and Parallel Computing Systems (6 papers). Raghavan Raman collaborates with scholars based in United States, Switzerland and Israel. Raghavan Raman's co-authors include Vivek Sarkar, Rajkishore Barik, Yi Guo, Jisheng Zhao, Martin Vechev, Eran Yahav, Hassan Chafi, Sungpack Hong, Zhe Wu and Vincent Cavé and has published in prestigious journals such as ACM SIGPLAN Notices and Formal Methods in System Design.

In The Last Decade

Raghavan Raman

14 papers receiving 337 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Raghavan Raman United States 9 284 252 102 55 46 14 352
Hwansoo Han South Korea 12 239 0.8× 261 1.0× 81 0.8× 41 0.7× 40 0.9× 57 375
Milind Chabbi United States 13 417 1.5× 396 1.6× 159 1.6× 62 1.1× 17 0.4× 50 491
Jun Shirako United States 12 448 1.6× 415 1.6× 103 1.0× 30 0.5× 36 0.8× 35 492
Haibo Lin China 10 256 0.9× 318 1.3× 168 1.6× 31 0.6× 27 0.6× 18 367
Yaoqing Gao Canada 8 354 1.2× 309 1.2× 106 1.0× 40 0.7× 13 0.3× 24 424
Guoyang Chen United States 10 324 1.1× 279 1.1× 107 1.0× 64 1.2× 85 1.8× 22 432
Jason Poovey United States 7 194 0.7× 159 0.6× 52 0.5× 60 1.1× 43 0.9× 9 279
Mai Zheng United States 12 208 0.7× 401 1.6× 164 1.6× 65 1.2× 12 0.3× 46 487
Jingyue Wu United States 10 213 0.8× 204 0.8× 106 1.0× 30 0.5× 20 0.4× 15 346
Rajkishore Barik United States 14 466 1.6× 458 1.8× 185 1.8× 26 0.5× 54 1.2× 23 540

Countries citing papers authored by Raghavan Raman

Since Specialization
Citations

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

Fields of papers citing papers by Raghavan Raman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Raghavan Raman

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

All Works

14 of 14 papers shown
1.
Raman, Raghavan, et al.. (2014). Test-driven repair of data races in structured parallel programs. ACM SIGPLAN Notices. 49(6). 15–25. 4 indexed citations
2.
Raman, Raghavan, Oskar van Rest, Sungpack Hong, et al.. (2014). PGX.ISO. 1–6. 21 indexed citations
3.
Raman, Raghavan, et al.. (2014). Test-driven repair of data races in structured parallel programs. 15–25. 12 indexed citations
4.
Welc, Adam, Raghavan Raman, Zhe Wu, et al.. (2013). Graph analysis. 1–6. 15 indexed citations
5.
Hong, Sungpack, et al.. (2013). Early experiences in using a domain-specific language for large-scale graph analysis. 1–6. 5 indexed citations
6.
Raman, Raghavan, Jisheng Zhao, Vivek Sarkar, Martin Vechev, & Eran Yahav. (2012). Efficient data race detection for async-finish parallelism. Formal Methods in System Design. 41(3). 321–347. 10 indexed citations
7.
Raman, Raghavan, Jisheng Zhao, Vivek Sarkar, Martin Vechev, & Eran Yahav. (2012). Scalable and precise dynamic datarace detection for structured parallelism. ACM SIGPLAN Notices. 47(6). 531–542. 9 indexed citations
8.
Raman, Raghavan, Jisheng Zhao, Vivek Sarkar, Martin Vechev, & Eran Yahav. (2012). Scalable and precise dynamic datarace detection for structured parallelism. 531–542. 68 indexed citations
9.
Budimlić, Zoran, Vincent Cavé, Raghavan Raman, et al.. (2011). The design and implementation of the habanero-java parallel programming language. 185–186. 6 indexed citations
10.
Cavé, Vincent, et al.. (2011). DrHJ. 147–150. 7 indexed citations
11.
Guo, Yi, Rajkishore Barik, Raghavan Raman, & Vivek Sarkar. (2009). Work-first and help-first scheduling policies for async-finish task parallelism. 1–12. 116 indexed citations
12.
Barik, Rajkishore, Zoran Budimlić, Vincent Cavé, et al.. (2009). The habanero multicore software research project. 735–736. 42 indexed citations
13.
Barik, Rajkishore, Yi Guo, Raghavan Raman, & Vivek Sarkar. (2008). Work-First and Help-First Scheduling Policies for Terminally Strict Parallel Programs. 5 indexed citations
14.
Raman, Raghavan, et al.. (2002). MicroSPARC: a case-study of scan based debug. 70–75. 32 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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