David Eklöv

494 total citations
14 papers, 356 citations indexed

About

David Eklöv is a scholar working on Hardware and Architecture, Computer Networks and Communications and Information Systems. According to data from OpenAlex, David Eklöv has authored 14 papers receiving a total of 356 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Hardware and Architecture, 12 papers in Computer Networks and Communications and 6 papers in Information Systems. Recurrent topics in David Eklöv's work include Parallel Computing and Optimization Techniques (14 papers), Advanced Data Storage Technologies (10 papers) and Cloud Computing and Resource Management (6 papers). David Eklöv is often cited by papers focused on Parallel Computing and Optimization Techniques (14 papers), Advanced Data Storage Technologies (10 papers) and Cloud Computing and Resource Management (6 papers). David Eklöv collaborates with scholars based in Sweden and Pakistan. David Eklöv's co-authors include Erik Hägersten and David Black-Schaffer and has published in prestigious journals such as KTH Publication Database DiVA (KTH Royal Institute of Technology) and Zenodo (CERN European Organization for Nuclear Research).

In The Last Decade

David Eklöv

14 papers receiving 334 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David Eklöv Sweden	9	325	313	154	36	21	14	356
Robert H. Bell United States	9	310 1.0×	253 0.8×	72 0.5×	84 2.3×	13 0.6×	13	337
Sai Prashanth Muralidhara United States	7	267 0.8×	262 0.8×	102 0.7×	52 1.4×	11 0.5×	11	307
Rohit Chandra United States	8	388 1.2×	374 1.2×	84 0.5×	31 0.9×	19 0.9×	12	408
G. Regnier United States	7	270 0.8×	438 1.4×	109 0.7×	58 1.6×	19 0.9×	10	459
Thomas W. Barr United States	6	277 0.9×	253 0.8×	146 0.9×	26 0.7×	26 1.2×	8	294
Vasileios Karakostas Spain	10	358 1.1×	356 1.1×	190 1.2×	37 1.0×	52 2.5×	18	401
Michael Zhang United States	6	278 0.9×	300 1.0×	56 0.4×	72 2.0×	14 0.7×	9	342
Marc Gamell United States	9	132 0.4×	247 0.8×	139 0.9×	41 1.1×	10 0.5×	17	270
Alex Pajuelo Spain	10	224 0.7×	217 0.7×	59 0.4×	28 0.8×	10 0.5×	25	264
Joshua Hursey United States	9	170 0.5×	289 0.9×	109 0.7×	26 0.7×	7 0.3×	19	309

Countries citing papers authored by David Eklöv

Since Specialization

Citations

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

Fields of papers citing papers by David Eklöv

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Eklöv

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

1.

Eklöv, David, et al.. (2014). Extending statistical cache models to support detailed pipeline simulators. 86–95. 6 indexed citations

2.

Eklöv, David, et al.. (2014). A software based profiling method for obtaining speedup stacks on commodity multi-cores. 148–157. 3 indexed citations

3.

Eklöv, David, et al.. (2013). Bandwidth Bandit: Quantitative characterization of memory contention. Zenodo (CERN European Organization for Nuclear Research). 3 a. 1–10. 32 indexed citations

4.

Eklöv, David. (2012). Profiling Methods for Memory Centric Software Performance Analysis. KTH Publication Database DiVA (KTH Royal Institute of Technology). 1 indexed citations

5.

Eklöv, David, et al.. (2012). Bandwidth bandit. 457–458. 15 indexed citations

6.

Eklöv, David, et al.. (2012). Quantitative Characterization of Memory Contention. KTH Publication Database DiVA (KTH Royal Institute of Technology). 1 indexed citations

7.

Eklöv, David. (2012). A Profiling Method for Analyzing Scalability Bottlenecks on Multicores. KTH Publication Database DiVA (KTH Royal Institute of Technology). 8 indexed citations

8.

Eklöv, David, et al.. (2012). Bandwidth bandit: Understanding memory contention. 116–117. 12 indexed citations

9.

Eklöv, David, et al.. (2011). Efficient software-based online phase classification. 104–115. 32 indexed citations

10.

Eklöv, David, David Black-Schaffer, & Erik Hägersten. (2011). Fast modeling of shared caches in multicore systems. 147–157. 49 indexed citations

11.

Eklöv, David, et al.. (2011). Cache Pirating: Measuring the Curse of the Shared Cache. 165–175. 41 indexed citations

12.

Eklöv, David & Erik Hägersten. (2010). StatStack: Efficient modeling of LRU caches. 55–65. 105 indexed citations

13.

Eklöv, David, et al.. (2010). Reducing Cache Pollution Through Detection and Elimination of Non-Temporal Memory Accesses. KTH Publication Database DiVA (KTH Royal Institute of Technology). 1–11. 34 indexed citations

14.

Eklöv, David, David Black-Schaffer, & Erik Hägersten. (2010). StatCC. 551–552. 17 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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