Gerald Baumgartner

57 papers receiving 1k citations

Peers

Gerald Baumgartner
Comparison fields: 5 of 45
  • Hardware and Architecture 514
  • Computational Mathematics 36
  • Computer Networks and Communications 194
  • Media Technology 55
  • Artificial Intelligence 187
Replace Venkatesh Choppella with:
Venkatesh Choppella India
Paolo Bientinesi Germany
Edgar Solomonik United States
Alexander Reinefeld Germany
Jiajia Li United States
Sean D. Ahern United States
Jerrell Watts United States
Roland N. Ibbett United Kingdom
Shirley Moore United States
Ce Yu China
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Citations per year

Countries citing papers authored by Gerald Baumgartner

Since Specialization
Citations

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

Fields of papers citing papers by Gerald Baumgartner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Gerald Baumgartner, 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 Gerald Baumgartner Line = papers co-authored together Gerald Baumgartner links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005145
2 2006114
3 200585
4 201151
5 200242
6 200441
7 200539
8 200238
9 200135
10 200235
11
A High-Level Approach to Synthesis of High Performance Codes for Quantum Chemistry
200233
12 200128
13 200527
14 199525
15 200225
16 200925
17 199924
18 200020
19 200420
20 200620

About Gerald Baumgartner

Gerald Baumgartner is a scholar working on Hardware and Architecture, Artificial Intelligence, Computer Networks and Communications, Atomic and Molecular Physics, and Optics and Media Technology, having authored 61 papers that have together received 1.1k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (32 papers), Quantum Information and Cryptography (9 papers), Distributed and Parallel Computing Systems (6 papers), Logic, programming, and type systems (6 papers), Advanced Chemical Physics Studies (4 papers), Cloud Computing and Resource Management (3 papers), Real-time simulation and control systems (2 papers) and Complexity and Algorithms in Graphs (2 papers). The work is most often cited by research in Hardware and Architecture (514 citations), Computational Mathematics (36 citations), Computer Networks and Communications (194 citations), Media Technology (55 citations) and Artificial Intelligence (187 citations). Gerald Baumgartner has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Ponnuswamy Sadayappan, Mario Lauria, Daniel Cociorva, Jagannathan Ramanujam, Chi‐Chung Lam, David E. Bernholdt, Marcel Nooijen, Robert J. Harrison, Sriram Krishnamoorthy and Russell M. Pitzer. Their work appears in journals such as Physical Review A, Journal of Parallel and Distributed Computing, Lecture notes in computer science, ACM Transactions on Programming Languages and Systems and The International Journal of High Performance Computing Applications.

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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