Daniel W. Watson

32 papers receiving 674 citations

Peers

Daniel W. Watson
Comparison fields: 5 of 100
  • Hardware and Architecture 141
  • Water Science and Technology 171
  • Computer Networks and Communications 160
  • Endocrine and Autonomic Systems 40
  • Soil Science 53
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Donato D’Ambrosio Italy
William Spataro Italy
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Shifeng Chen China
A. Gorobets Russia
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Citations per year

Countries citing papers authored by Daniel W. Watson

Since Specialization
Citations

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

Fields of papers citing papers by Daniel W. Watson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel W. Watson. 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 Daniel W. Watson. The network helps show where Daniel W. Watson may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011110
2 1998108
3 199274
4
Terrain Analysis Using Digital Elevation Models
200158
5 200451
6 200249
7 199932
8 202032
9 199728
10 200927
11
Hydrologic Terrain Processing Using Parallel Computing
200924
12
Parallel Flow-Direction and Contributing Area Calculation for Hydrology Analysis in Digital Elevation Models
200920
13 199816
14 201913
15 201813
16
Generational Scheduling for Heterogeneous Computing System.
199612
17 199310
18 20018
19 20167
20 19946

About Daniel W. Watson

Daniel W. Watson is a scholar working on Computer Networks and Communications, Hardware and Architecture, Artificial Intelligence, Mechanics of Materials and Water Science and Technology, having authored 33 papers that have together received 729 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (8 papers), Distributed and Parallel Computing Systems (7 papers), Numerical methods in engineering (5 papers), Hydrology and Watershed Management Studies (5 papers), Differential Equations and Numerical Methods (4 papers), Algorithms and Data Compression (3 papers), Cloud Computing and Resource Management (3 papers) and Advanced Numerical Methods in Computational Mathematics (3 papers). The work is most often cited by research in Hardware and Architecture (141 citations), Water Science and Technology (171 citations), Computer Networks and Communications (160 citations), Endocrine and Autonomic Systems (40 citations) and Soil Science (53 citations). Daniel W. Watson has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include David G. Tarboton, Howard Jay Siegel, Nicholas S. Flann, Frank R. Miller, Robert M. Wallace, James B. Armstrong, Matthew E. Baker, T. K. Tesfa, Mark E. Boseley and David J. Malis. Their work appears in journals such as Otolaryngology, Engineering Analysis with Boundary Elements, Journal of Parallel and Distributed Computing, Parallel Computing and Computer.

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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