Mario J. Gonzalez

8 total papers · 498 total citations
6 papers, 340 citations indexed

About

Mario J. Gonzalez is a scholar working on Computer Networks and Communications, Hardware and Architecture and Artificial Intelligence. According to data from OpenAlex, Mario J. Gonzalez has authored 6 papers receiving a total of 340 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Networks and Communications, 3 papers in Hardware and Architecture and 2 papers in Artificial Intelligence. Recurrent topics in Mario J. Gonzalez's work include Parallel Computing and Optimization Techniques (3 papers), Scheduling and Optimization Algorithms (2 papers) and Distributed and Parallel Computing Systems (2 papers). Mario J. Gonzalez is often cited by papers focused on Parallel Computing and Optimization Techniques (3 papers), Scheduling and Optimization Algorithms (2 papers) and Distributed and Parallel Computing Systems (2 papers). Mario J. Gonzalez collaborates with scholars based in United States and Mexico. Mario J. Gonzalez's co-authors include K. Mani Chandy, C. V. Ramamoorthy, Steven A. Guccione, Cecilia Martı́n-del-Campo and Juan‐Luis François and has published in prestigious journals such as ACM Computing Surveys, IEEE Transactions on Computers and Annals of Nuclear Energy.

In The Last Decade

Mario J. Gonzalez

5 papers receiving 314 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Mario J. Gonzalez	232	198	123	55	28	6	340
Lee	237 1.0×	154 0.8×	98 0.8×	70 1.3×	67 2.4×	6	357
S. Ghosh	295 1.3×	314 1.6×	25 0.2×	72 1.3×	45 1.6×	9	391
Walter H. Kohler	276 1.2×	131 0.7×	67 0.5×	39 0.7×	37 1.3×	11	329
Jerome M. Kurtzberg	79 0.3×	124 0.6×	100 0.8×	39 0.7×	8 0.3×	10	317
Rajendran M. Sivasankaran	300 1.3×	161 0.8×	16 0.1×	41 0.7×	27 1.0×	13	335
Jiadong Yang	106 0.5×	35 0.2×	168 1.4×	35 0.6×	74 2.6×	12	326
A.J. Orman	110 0.5×	30 0.2×	161 1.3×	61 1.1×	7 0.3×	7	377
Sorin Manolache	193 0.8×	297 1.5×	8 0.1×	98 1.8×	16 0.6×	14	365
Krešimir Mihić	156 0.7×	143 0.7×	26 0.2×	6 0.1×	75 2.7×	9	327
A. C. McKellar	183 0.8×	164 0.8×	22 0.2×	90 1.6×	27 1.0×	9	326

Countries citing papers authored by Mario J. Gonzalez

Since Specialization

Citations

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

Fields of papers citing papers by Mario J. Gonzalez

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mario J. Gonzalez

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

All Works

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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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