David Koop

2.3k citations
49 papers · 1.5k · h-index 19

Impact in

Papers in

David Koop

48 papers receiving 1.4k citations

Peers

David Koop
Comparison fields: 5 of 101
  • Information Systems and Management 878
  • Information Systems 680
  • Computer Networks and Communications 637
  • Ecological Modeling 106
  • Computer Vision and Pattern Recognition 217
Replace Emanuele Santos with:
Emanuele Santos United States
Alex Hardisty United Kingdom
Chaitan Baru United States
Duncan Hull United Kingdom
Ian Dunlop United Kingdom
Arcot Rajasekar United States
Martin Senger United Kingdom
John Kunze United States
Leyla Jael Castro Germany
Fernando Chirigati United States
David Koop relative to Emanuele Santos United States Emanuele Santos's profile →
Citations per field
00.5×3.4×
Emanuele Santos · 1×
Citations per year

Countries citing papers authored by David Koop

Since Specialization
Citations

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

Fields of papers citing papers by David Koop

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008372
2 2013127
3 200787
4 201586
5 200875
6 200871
7 201069
8 200763
9 200957
10 201444
11 201143
12 201137
13 201027
14 201124
15 200820
16 201419
17 201319
18 202018
19 201618
20 201816

About David Koop

David Koop is a scholar working on Information Systems and Management, Computer Networks and Communications, Information Systems, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 49 papers that have together received 1.5k indexed citations. Recurring topics across this work include Scientific Computing and Data Management (35 papers), Distributed and Parallel Computing Systems (21 papers), Research Data Management Practices (16 papers), Data Visualization and Analytics (8 papers), Advanced Data Storage Technologies (5 papers), Advanced Database Systems and Queries (3 papers), Software Engineering Research (3 papers) and Semantic Web and Ontologies (3 papers). The work is most often cited by research in Information Systems and Management (878 citations), Information Systems (680 citations), Computer Networks and Communications (637 citations), Ecological Modeling (106 citations) and Computer Vision and Pattern Recognition (217 citations). David Koop has collaborated with scholars based in United States, Switzerland and Canada. Frequent co-authors include Juliana Freire, Emanuele Santos, Claudio Silva, Carlos Scheidegger, Huy T. Vo, Steven P. Callahan, Daniel G. Petereit, B. Ashleigh Guadagnolo, Fernando Chirigati and Vanessa Braganholo. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Cancer, Lecture notes in computer science, Computing in Science & Engineering and Ecography.

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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