J. Saltz

467 total citations
12 papers, 226 citations indexed

About

J. Saltz is a scholar working on Computer Networks and Communications, Hardware and Architecture and Information Systems. According to data from OpenAlex, J. Saltz has authored 12 papers receiving a total of 226 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Networks and Communications, 6 papers in Hardware and Architecture and 3 papers in Information Systems. Recurrent topics in J. Saltz's work include Parallel Computing and Optimization Techniques (6 papers), Advanced Data Storage Technologies (6 papers) and Distributed and Parallel Computing Systems (5 papers). J. Saltz is often cited by papers focused on Parallel Computing and Optimization Techniques (6 papers), Advanced Data Storage Technologies (6 papers) and Distributed and Parallel Computing Systems (5 papers). J. Saltz collaborates with scholars based in United States, France and Italy. J. Saltz's co-authors include Raja Das, Mustafa Uysal, Y. S. Hwang, Alan Sussman, Gagan Agrawal, Guy Edjlali, Kelvin Bryant, Amit Acharya, Yuan‐Shin Hwang and Roderick W. Smith and has published in prestigious journals such as Journal of Parallel and Distributed Computing, OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) and Int. CMG Conference.

In The Last Decade

J. Saltz

11 papers receiving 208 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
J. Saltz United States	6	196	180	34	29	12	12	226
Francisco de Sande Spain	7	145 0.7×	161 0.9×	34 1.0×	13 0.4×	6 0.5×	25	186
Olivier Aumage France	11	219 1.1×	169 0.9×	57 1.7×	19 0.7×	18 1.5×	25	267
David Goodell United States	10	283 1.4×	246 1.4×	48 1.4×	13 0.4×	10 0.8×	12	342
Hans–Christian Hoppe Germany	6	194 1.0×	167 0.9×	66 1.9×	11 0.4×	21 1.8×	9	233
J. A. Herdman United Kingdom	9	197 1.0×	187 1.0×	52 1.5×	20 0.7×	9 0.8×	17	261
Ruymán Reyes Spain	9	110 0.6×	124 0.7×	45 1.3×	14 0.5×	12 1.0×	20	192
Peter Thoman Austria	8	164 0.8×	157 0.9×	69 2.0×	39 1.3×	9 0.8×	35	242
Matt Martineau United Kingdom	9	136 0.7×	148 0.8×	52 1.5×	15 0.5×	4 0.3×	16	189
Andreas Knüpfer Germany	9	201 1.0×	164 0.9×	59 1.7×	10 0.3×	11 0.9×	30	237
Joël Falcou France	8	84 0.4×	107 0.6×	14 0.4×	35 1.2×	8 0.7×	22	165

Countries citing papers authored by J. Saltz

Since Specialization

Citations

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

Fields of papers citing papers by J. Saltz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Saltz

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

Zhang, Xi, Tahsin Kurç, Ümit V. Çatalyürek, et al.. (2004). Strategies for using additional resources in parallel hash-based join algorithms. 1873. 4–13. 6 indexed citations

2.

Bryant, Kelvin, et al.. (2002). Jovian: a framework for optimizing parallel I/O. 21. 10–20. 20 indexed citations

3.

Hwang, Yuan‐Shin & J. Saltz. (2002). Identifying parallelism in programs with cyclic graphs. 1. 201–208. 4 indexed citations

4.

Davis, Larry P., et al.. (2002). High performance computing for land cover dynamics. 4 1. 234–238. 1 indexed citations

5.

Agrawal, Gagan, Alan Sussman, & J. Saltz. (2002). Efficient runtime support for parallelizing block structured applications. 158–167. 3 indexed citations

6.

Edjlali, Guy, Gagan Agrawal, Alan Sussman, & J. Saltz. (2002). Data parallel programming in an adaptive environment. 827–832. 7 indexed citations

7.

Acharya, Amit, et al.. (2002). Adapting to bandwidth variations in wide-area data combination. 498–505. 1 indexed citations

8.

Acharya, Amit, et al.. (1996). Runtime coupling of data-parallel programs. 229–236. 12 indexed citations

9.

Das, Raja, Mustafa Uysal, J. Saltz, & Y. S. Hwang. (1994). Communication Optimizations for Irregular Scientific Computations on Distributed Memory Architectures. Journal of Parallel and Distributed Computing. 22(3). 462–478. 143 indexed citations

10.

Agrawal, Gagan, Alan Sussman, & J. Saltz. (1993). Compiler and runtime support for structured and block structured applications. 578–587. 27 indexed citations

11.

Saltz, J., et al.. (1991). Performance effects of irregular communications patterns on massively parallel multiprocessors. Final report. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1 indexed citations

12.

Smith, Roderick W. & J. Saltz. (1984). Performance Analysis of Strategies for Moving Mesh Control.. Int. CMG Conference. 301–308. 1 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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