Daniel E. Stevenson

2.2k citations
32 papers · 270 · h-index 9

Impact in

Papers in

Daniel E. Stevenson

31 papers receiving 247 citations

Peers

Daniel E. Stevenson
Comparison fields: 5 of 47
  • Computer Science Applications 158
  • Software 62
  • Hardware and Architecture 43
  • Media Technology 46
  • Information Systems 84
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Riku Saikkonen Finland
Athanasios Tsintsifas United Kingdom
Cécile Hardebolle France
Shraddha Barke United States
Mitaro Namiki Japan
Dejan Kovachev Germany
Ali Malik Ireland
Yihjia Tsai Taiwan
Marcel Karam Lebanon
Alberto Piatti Switzerland
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Citations per field
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Citations per year

Countries citing papers authored by Daniel E. Stevenson

Since Specialization
Citations

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

Fields of papers citing papers by Daniel E. Stevenson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Daniel E. Stevenson, 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 E. Stevenson Line = papers co-authored together Daniel E. Stevenson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200837
2 200536
3 200627
4 200625
5 200523
6 200221
7 200217
8 200314
9 20098
10 20047
11
Programming language support for digitized images or, the monsters in the closet
19975
12 20014
13 20064
14 20084
15 20074
16 20034
17 20013
18 20053
19 20023
20 20143

About Daniel E. Stevenson

Daniel E. Stevenson is a scholar working on Computer Science Applications, Computer Networks and Communications, Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition, having authored 32 papers that have together received 270 indexed citations. Recurring topics across this work include Teaching and Learning Programming (10 papers), Software Engineering Research (4 papers), Logic, programming, and type systems (4 papers), Parallel Computing and Optimization Techniques (4 papers), Distributed and Parallel Computing Systems (4 papers), Advanced Data Storage Technologies (3 papers), Optical measurement and interference techniques (2 papers) and Advanced Database Systems and Queries (2 papers). The work is most often cited by research in Computer Science Applications (158 citations), Software (62 citations), Hardware and Architecture (43 citations), Media Technology (46 citations) and Information Systems (84 citations). Daniel E. Stevenson has collaborated with scholars based in United States, South Africa and United Kingdom. Frequent co-authors include Michael R. Wick, Daniel Ernst, Margaret M. Fleck, Andrew T. Phillips, Paul Wagner, Michael J. Wick, Andrew Phillips, Judith Bishop, Pamela B. Lawhead and Xun Xu. Their work appears in journals such as Acta acustica united with Acustica, Trends in Hearing, International Journal of Pattern Recognition and Artificial Intelligence, Nutrition & Food Science and ACM SIGCSE Bulletin.

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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