Lihu Rappoport

680 total citations
12 papers, 402 citations indexed

About

Lihu Rappoport is a scholar working on Hardware and Architecture, Computer Networks and Communications and Electrical and Electronic Engineering. According to data from OpenAlex, Lihu Rappoport has authored 12 papers receiving a total of 402 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Hardware and Architecture, 8 papers in Computer Networks and Communications and 3 papers in Electrical and Electronic Engineering. Recurrent topics in Lihu Rappoport's work include Parallel Computing and Optimization Techniques (10 papers), Advanced Data Storage Technologies (5 papers) and Interconnection Networks and Systems (4 papers). Lihu Rappoport is often cited by papers focused on Parallel Computing and Optimization Techniques (10 papers), Advanced Data Storage Technologies (5 papers) and Interconnection Networks and Systems (4 papers). Lihu Rappoport collaborates with scholars based in Israel, United Kingdom and United States. Lihu Rappoport's co-authors include Amos Israeli, Adi Yoaz, Ronny Ronen, Stéphan Jourdan, Efraim Rotem, Ahmad Yasin, Uri Weiser, Shlomo Moran, Jayesh Gaur and Sreenivas Subramoney and has published in prestigious journals such as IEEE Micro and ACM SIGARCH Computer Architecture News.

In The Last Decade

Lihu Rappoport

12 papers receiving 373 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lihu Rappoport Israel	8	300	295	99	56	45	12	402
Mojtaba Mehrara United States	12	324 1.1×	357 1.2×	91 0.9×	39 0.7×	69 1.5×	18	421
Dhruva R. Chakrabarti United States	12	510 1.7×	519 1.8×	132 1.3×	96 1.7×	53 1.2×	35	581
Stephan Diestelhorst United States	13	437 1.5×	471 1.6×	183 1.8×	71 1.3×	68 1.5×	28	565
Dave Dice United States	13	659 2.2×	558 1.9×	49 0.5×	68 1.2×	55 1.2×	35	690
Bob Janssens United States	8	357 1.2×	360 1.2×	50 0.5×	46 0.8×	96 2.1×	15	466
T. J. Slegel United States	8	272 0.9×	395 1.3×	380 3.8×	23 0.4×	65 1.4×	10	531
Magnus Ekman Sweden	11	511 1.7×	525 1.8×	133 1.3×	85 1.5×	100 2.2×	14	610
Michael Van Biesbrouck United States	9	391 1.3×	444 1.5×	118 1.2×	82 1.5×	28 0.6×	11	493
Taiyi Huang Taiwan	12	172 0.6×	138 0.5×	56 0.6×	39 0.7×	136 3.0×	50	387
Amirali Baniasadi Canada	10	276 0.9×	359 1.2×	163 1.6×	54 1.0×	56 1.2×	84	455

Countries citing papers authored by Lihu Rappoport

Since Specialization

Citations

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

Fields of papers citing papers by Lihu Rappoport

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lihu Rappoport

This figure shows the co-authorship network connecting the top 25 collaborators of Lihu Rappoport. A scholar is included among the top collaborators of Lihu Rappoport 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 Lihu Rappoport. Lihu Rappoport 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.

Rotem, Efraim, et al.. (2022). Intel Alder Lake CPU Architectures. IEEE Micro. 42(3). 13–19. 26 indexed citations

2.

Gaur, Jayesh, et al.. (2020). Focused Value Prediction: Concepts, techniques and implementations presented in this paper are subject matter of pending patent applications, which have been filed by Intel Corporation. 79–91. 7 indexed citations

3.

Gaur, Jayesh, et al.. (2020). Auto-Predication of Critical Branches. 92–104. 5 indexed citations

4.

Gupta, Saurabh, Jared Stark, Rahul Pal, et al.. (2019). Towards the adoption of Local Branch Predictors in Modern Out-of-Order Superscalar Processors. 519–530. 4 indexed citations

5.

Rappoport, Lihu, et al.. (2017). Inside 6th-Generation Intel Core: New Microarchitecture Code-Named Skylake. IEEE Micro. 37(2). 52–62. 110 indexed citations

6.

Blythe, David, et al.. (2016). Inside 6th gen Intel^® Core™: New microarchitecture code named skylake. 1–39. 4 indexed citations

7.

Jourdan, Stéphan, et al.. (2003). Correlated load-address predictors. 54–63. 30 indexed citations

8.

Jourdan, Stéphan, et al.. (2002). eXtended block cache. 61–70. 11 indexed citations

9.

Jourdan, Stéphan, et al.. (1999). Correlated load-address predictors. 27(2). 54–63. 67 indexed citations

10.

Jourdan, Stéphan, et al.. (1999). Correlated load-address predictors. ACM SIGARCH Computer Architecture News. 27(2). 54–63. 3 indexed citations

11.

Moran, Shlomo & Lihu Rappoport. (1996). On the Robustness of h^r_m. 344–361. 8 indexed citations

12.

Israeli, Amos & Lihu Rappoport. (1994). Disjoint-access-parallel implementations of strong shared memory primitives. 151–160. 127 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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