J.A. Kohl

610 citations
20 papers · 388 · h-index 10

Impact in

Papers in

Journals
Lecture notes in computer science (2 papers)Journal of Physics Conference Series (1 paper)Proceedings - IEEE International Parallel and Distributed Processing Symposium (1 paper)ACM International Symposium on High-Performance Parallel and Distributed Computing (HPDC) (1 paper)IEEE Visualization (1 paper)
Partner nations
United States

In The Last Decade

J.A. Kohl

19 papers receiving 360 citations

Peers

J.A. Kohl
Comparison fields: 5 of 37
  • Computer Graphics and Computer-Aided Design 118
  • Hardware and Architecture 120
  • Computer Networks and Communications 194
  • Information Systems and Management 41
  • Software 19
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Citations per field
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Citations per year

Countries citing papers authored by J.A. Kohl

Since Specialization
Citations

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

Fields of papers citing papers by J.A. Kohl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 1997131
2 200532
3 200329
4 199628
5 200627
6 200325
7 200618
8
PVM and MPI: a Comparison of Features
200718
9 200513
10 199711
11 200210
12 20029
13 20069
14
XPVM: A graphical console and monitor for PVM
19947
15
Monitoring and Steering of Large-Scale Distributed Simulations
19996
16 20025
17
A Component Architecture for High-Performance Scientific Computing
20045
18 20033
19 19982
20
Concurrency-based approaches to parallel programming
19950

About J.A. Kohl

J.A. Kohl is a scholar working on Computer Graphics and Computer-Aided Design, Hardware and Architecture, Computer Networks and Communications, Management Science and Operations Research and Artificial Intelligence, having authored 20 papers that have together received 388 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (11 papers), Computer Graphics and Visualization Techniques (9 papers), Parallel Computing and Optimization Techniques (8 papers), Advanced Software Engineering Methodologies (4 papers), Simulation Techniques and Applications (3 papers), Data Visualization and Analytics (2 papers), Distributed systems and fault tolerance (2 papers) and Scientific Computing and Data Management (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (118 citations), Hardware and Architecture (120 citations), Computer Networks and Communications (194 citations), Information Systems and Management (41 citations) and Software (19 citations). J.A. Kohl has collaborated with scholars based in United States. Frequent co-authors include George A. Geist, Philip M. Papadopoulos, Jinzhu Gao, Jian Ping Huang, David E. Bernholdt, Han‐Wei Shen, Thomas G. W. Epperly, Christopher R. Johnson, Wael R Elwasif and Scott Atchley. Their work appears in journals such as Lecture notes in computer science, Journal of Physics Conference Series, Proceedings - IEEE International Parallel and Distributed Processing Symposium, ACM International Symposium on High-Performance Parallel and Distributed Computing (HPDC) and IEEE Visualization.

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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