Jay C. Alameda

700 citations
29 papers · 559 · h-index 13

Impact in

Papers in

Jay C. Alameda

29 papers receiving 521 citations

Peers

Jay C. Alameda
Comparison fields: 5 of 108
  • Information Systems and Management 255
  • Computer Networks and Communications 298
  • Hardware and Architecture 42
  • Information Systems 119
  • Geology 16
Replace Kerstin Kleese van Dam with:
Kerstin Kleese van Dam United States
Suresh Marru United States
Shujia Zhou United States
Ketan C. Maheshwari United States
Krishna Muriki United States
Jian Wen China
Weiyun Huang United States
Daniele Cesini Italy
Yuepeng Wang China
Nicholas Schwarz United States
Jay C. Alameda relative to Kerstin Kleese van Dam United States Kerstin Kleese van Dam's profile →
Citations per field
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Citations per year

Countries citing papers authored by Jay C. Alameda

Since Specialization
Citations

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

Fields of papers citing papers by Jay C. Alameda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jay C. Alameda. 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 Jay C. Alameda. The network helps show where Jay C. Alameda may publish in the future.

Co-authors

The 25 scholars most cited alongside Jay C. Alameda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jay C. Alameda Line = papers co-authored together Jay C. Alameda links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200584
2 200655
3 200448
4 200542
5 200539
6 200539
7 200138
8 199135
9 201630
10
Hydroinformatics: Data Integrative Approaches in Computation, Analysis, and Modeling
200529
11 200220
12 198919
13 201515
14 200210
15 19939
16 19979
17 20185
18 20145
19 20154
20
SIEGE: A graphical user interface to enable management of large numbers of weather simulations
20074

About Jay C. Alameda

Jay C. Alameda is a scholar working on Information Systems and Management, Computer Networks and Communications, Hardware and Architecture, Information Systems and Geology, having authored 29 papers that have together received 559 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (17 papers), Scientific Computing and Data Management (15 papers), Parallel Computing and Optimization Techniques (7 papers), Research Data Management Practices (5 papers), Advanced MRI Techniques and Applications (3 papers), Advanced NMR Techniques and Applications (2 papers), Advanced Data Storage Technologies (2 papers) and Advanced Computational Techniques and Applications (2 papers). The work is most often cited by research in Information Systems and Management (255 citations), Computer Networks and Communications (298 citations), Hardware and Architecture (42 citations), Information Systems (119 citations) and Geology (16 citations). Jay C. Alameda has collaborated with scholars based in United States, Bulgaria and Serbia. Frequent co-authors include Dennis B. Gannon, Timothy O. Drews, Richard C. Alkire, Richard D. Braatz, Beth Plale, Eric G. Webb, Kelvin K. Droegemeier, Richard L. Magin, Harold M. Swartz and Marlon Pierce. Their work appears in journals such as Magnetic Resonance in Medicine, IBM Journal of Research and Development, IEEE Internet Computing, Computing in Science & Engineering and Proceedings of the IEEE.

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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