Eli M. Dow

429 total citations
12 papers, 287 citations indexed

About

Eli M. Dow is a scholar working on Information Systems, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Eli M. Dow has authored 12 papers receiving a total of 287 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Information Systems, 9 papers in Computer Networks and Communications and 3 papers in Artificial Intelligence. Recurrent topics in Eli M. Dow's work include Cloud Computing and Resource Management (9 papers), Software-Defined Networks and 5G (3 papers) and Software System Performance and Reliability (2 papers). Eli M. Dow is often cited by papers focused on Cloud Computing and Resource Management (9 papers), Software-Defined Networks and 5G (3 papers) and Software System Performance and Reliability (2 papers). Eli M. Dow collaborates with scholars based in United States. Eli M. Dow's co-authors include Jeanna Matthews, Todd Deshane, Matthew Finlayson, Wenjin Hu, Dirk Beyer, Hao Jiang, Susan Loveland, Andrew A. Hicks, Vinay Soni and Brendan M. Johnson and has published in prestigious journals such as Bulletin of the American Meteorological Society, IBM Systems Journal and PeerJ Computer Science.

In The Last Decade

Eli M. Dow

12 papers receiving 252 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Eli M. Dow United States	6	231	223	43	34	25	12	287
Eduardo César Spain	9	161 0.7×	115 0.5×	112 2.6×	25 0.7×	15 0.6×	41	237
Lucas Nussbaum France	7	164 0.7×	104 0.5×	19 0.4×	19 0.6×	19 0.8×	16	206
Krzysztof Palacz United States	9	98 0.4×	105 0.5×	44 1.0×	59 1.7×	16 0.6×	12	192
Ann Gentile United States	10	271 1.2×	150 0.7×	93 2.2×	44 1.3×	34 1.4×	20	295
Alexandru Uta Netherlands	9	204 0.9×	188 0.8×	15 0.3×	43 1.3×	18 0.7×	28	246
Robert Krahn Germany	10	113 0.5×	161 0.7×	32 0.7×	161 4.7×	11 0.4×	17	256
Baron Schwartz United States	4	146 0.6×	81 0.4×	56 1.3×	28 0.8×	11 0.4×	5	187
Scott A. Hendrickson United States	6	202 0.9×	237 1.1×	17 0.4×	97 2.9×	9 0.4×	14	292
Fermín Galán Spain	7	213 0.9×	229 1.0×	18 0.4×	25 0.7×	21 0.8×	10	261
Laurent Réveillère France	7	131 0.6×	111 0.5×	40 0.9×	45 1.3×	4 0.2×	25	208

Countries citing papers authored by Eli M. Dow

Since Specialization

Citations

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

Fields of papers citing papers by Eli M. Dow

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eli M. Dow. 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 Eli M. Dow. The network helps show where Eli M. Dow may publish in the future.

Co-authorship network of co-authors of Eli M. Dow

This figure shows the co-authorship network connecting the top 25 collaborators of Eli M. Dow. A scholar is included among the top collaborators of Eli M. Dow 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 Eli M. Dow. Eli M. Dow 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.

Dow, Eli M. & Jeanna Matthews. (2017). A Host-Agnostic, Supervised Machine Learning Approach to Automated Overload Detection in Virtual Machine Workloads. 13–23. 3 indexed citations

2.

Dow, Eli M. & Jeanna Matthews. (2017). A Host-Independent Supervised Machine Learning Approach to Automated Overload Detection in Virtual Machine Workloads. 11. 181–186. 1 indexed citations

3.

Dow, Eli M.. (2016). Decomposed multi-objective bin-packing for virtual machine consolidation. PeerJ Computer Science. 2. e47–e47. 3 indexed citations

4.

Dow, Eli M. & Jeanna Matthews. (2016). WAYFINDER: parallel virtual machine reallocation through A* search. Memetic Computing. 8(4). 255–267. 5 indexed citations

5.

Dow, Eli M., et al.. (2015). Transplanting Binary Decision Trees. 3(3). 61–66. 2 indexed citations

6.

Dow, Eli M. & Jeanna Matthews. (2015). Virtual machine migration plan generation through A* search. 36. 71–73. 2 indexed citations

7.

Dow, Eli M., et al.. (2014). Harnessing the Environmental Data Flood: A Comparative Analysis of Hydrologic, Oceanographic, and Meteorological Informatics Platforms. Bulletin of the American Meteorological Society. 96(5). 725–736. 8 indexed citations

8.

Hu, Wenjin, Andrew A. Hicks, Eli M. Dow, et al.. (2013). A quantitative study of virtual machine live migration. 1–10. 52 indexed citations

9.

Dow, Eli M., et al.. (2010). The Emerging Role of Software Testing in Curricula. 1–26. 27 indexed citations

10.

Matthews, Jeanna, et al.. (2008). Running Xen: A Hands-On Guide to the Art of Virtualization. 37 indexed citations

11.

Loveland, Susan, et al.. (2008). Leveraging virtualization to optimize high-availability system configurations. IBM Systems Journal. 47(4). 591–604. 36 indexed citations

12.

Deshane, Todd, et al.. (2004). Xen and the art of repeated research. USENIX Annual Technical Conference. 47–47. 111 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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