Robert S. Chappell

1.0k total citations
14 papers, 570 citations indexed

About

Robert S. Chappell is a scholar working on Computer Networks and Communications, Hardware and Architecture and Electrical and Electronic Engineering. According to data from OpenAlex, Robert S. Chappell has authored 14 papers receiving a total of 570 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Networks and Communications, 14 papers in Hardware and Architecture and 7 papers in Electrical and Electronic Engineering. Recurrent topics in Robert S. Chappell's work include Parallel Computing and Optimization Techniques (14 papers), Advanced Data Storage Technologies (14 papers) and Embedded Systems Design Techniques (5 papers). Robert S. Chappell is often cited by papers focused on Parallel Computing and Optimization Techniques (14 papers), Advanced Data Storage Technologies (14 papers) and Embedded Systems Design Techniques (5 papers). Robert S. Chappell collaborates with scholars based in United States and United Kingdom. Robert S. Chappell's co-authors include Yale N. Patt, Jared Stark, Steven K. Reinhardt, Eric Sprangle, Marius Evers, Sanjay J. Patel, Adi Yoaz, S.K. Reinhardt, Edward S. Davidson and Chit-Kwan Lin and has published in prestigious journals such as International Symposium on Microarchitecture, Deep Blue (University of Michigan) and ACM SIGARCH Computer Architecture News.

In The Last Decade

Robert S. Chappell

14 papers receiving 524 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Robert S. Chappell United States	11	545	418	194	65	63	14	570
Marius Evers United States	12	486 0.9×	372 0.9×	200 1.0×	89 1.4×	52 0.8×	17	535
Po-Yung Chang United States	12	555 1.0×	431 1.0×	206 1.1×	131 2.0×	76 1.2×	20	608
Dhruva R. Chakrabarti United States	12	519 1.0×	510 1.2×	132 0.7×	53 0.8×	96 1.5×	35	581
A.S. Dhodapkar United States	7	533 1.0×	426 1.0×	118 0.6×	46 0.7×	125 2.0×	11	567
Eric Hao United States	10	408 0.7×	333 0.8×	149 0.8×	102 1.6×	49 0.8×	14	462
Jordi Tubella Spain	10	312 0.6×	275 0.7×	82 0.4×	55 0.8×	61 1.0×	28	397
Simone Campanoni United States	13	397 0.7×	255 0.6×	183 0.9×	58 0.9×	103 1.6×	47	478
Kishore N. Menezes United States	11	457 0.8×	322 0.8×	149 0.8×	54 0.8×	50 0.8×	15	490
Rabin A. Sugumar United States	9	402 0.7×	342 0.8×	69 0.4×	29 0.4×	67 1.1×	12	417

Countries citing papers authored by Robert S. Chappell

Since Specialization

Citations

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

Fields of papers citing papers by Robert S. Chappell

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert S. Chappell. 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 Robert S. Chappell. The network helps show where Robert S. Chappell may publish in the future.

Co-authorship network of co-authors of Robert S. Chappell

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

All Works

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14 of 14 papers shown

Chinya, Gautham N., Jayesh Gaur, Karthik Sankaranarayanan, et al.. (2019). Post-silicon CPU adaptation made practical using machine learning. 14–26. 7 indexed citations

Chappell, Robert S., Yale N. Patt, & Edward S. Davidson. (2004). Simultaneous subordinate microthreading.. Deep Blue (University of Michigan). 10 indexed citations

Chappell, Robert S., et al.. (2003). Simultaneous subordinate microthreading (SSMT). 63 indexed citations

Chappell, Robert S., et al.. (2003). Difficult-path branch prediction using subordinate microthreads. 307–317. 18 indexed citations

Chappell, Robert S., et al.. (2003). Microarchitectural support for precomputation microthreads. 74–84. 5 indexed citations

Chappell, Robert S., et al.. (2002). Microarchitectural support for precomputation microthreads. International Symposium on Microarchitecture. 74–84. 7 indexed citations

Evers, Marius, et al.. (2002). An analysis of correlation and predictability: what makes two-level branch predictors work. 52–61. 28 indexed citations

Chappell, Robert S., et al.. (2002). Difficult-path branch prediction using subordinate microthreads. ACM SIGARCH Computer Architecture News. 30(2). 307–317. 32 indexed citations

Chappell, Robert S., et al.. (1999). Simultaneous subordinate microthreading (SSMT). 27(2). 186–195. 177 indexed citations

10.

Chappell, Robert S., et al.. (1999). Simultaneous subordinate microthreading (SSMT). ACM SIGARCH Computer Architecture News. 27(2). 186–195. 19 indexed citations

11.

Evers, Marius, Sanjay J. Patel, Robert S. Chappell, & Yale N. Patt. (1998). An analysis of correlation and predictability: what makes two-level branch predictors work. 26(3). 52–61. 68 indexed citations

12.

Evers, Marius, Sanjay J. Patel, Robert S. Chappell, & Yale N. Patt. (1998). An analysis of correlation and predictability. ACM SIGARCH Computer Architecture News. 26(3). 52–61. 11 indexed citations

13.

Sprangle, Eric, et al.. (1997). The agree predictor. ACM SIGARCH Computer Architecture News. 25(2). 284–291. 17 indexed citations

14.

Sprangle, Eric, et al.. (1997). The agree predictor. 284–291. 108 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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