Robert Atkinson

38 papers receiving 677 citations

Peers

Robert Atkinson
Comparison fields: 5 of 151
  • Pharmacology 88
  • Geography, Planning and Development 56
  • Artificial Intelligence 178
  • Pharmacology 79
  • Signal Processing 49
Replace Marco Moreno-Ibarra with:
Marco Moreno-Ibarra Mexico
Michael A. Gallo United States
Si Shen China
Aramaki Eiji Japan
Pierre Zweigenbaum France
Elizabeth A Black United Kingdom
Fei Yu United States
Sabita Aryal China
Robert Atkinson relative to Marco Moreno-Ibarra Mexico Marco Moreno-Ibarra's profile →
Citations per field
00.5×5×10×15×17.6×
Marco Moreno-Ibarra · 1×
Citations per year

Countries citing papers authored by Robert Atkinson

Since Specialization
Citations

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

Fields of papers citing papers by Robert Atkinson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018204
2 2007142
3 1966135
4 196644
5 201137
6 201835
7 201424
8 201016
9 201213
10 201213
11 20128
12 20248
13 20127
14 20177
15 20116
16 19946
17 20225
18 20245
19
The Semantic Sensor Network Ontology, Revamped
20195
20
Using XML Technology for Marine Data Exchange A Position Paper of the MarineXML Initiative
20055

About Robert Atkinson

Robert Atkinson is a scholar working on Geography, Planning and Development, Experimental and Cognitive Psychology, Information Systems and Management, Artificial Intelligence and Developmental and Educational Psychology, having authored 43 papers that have together received 768 indexed citations. Recurring topics across this work include Geographic Information Systems Studies (6 papers), Data Management and Algorithms (4 papers), Emotion and Mood Recognition (4 papers), Scientific Computing and Data Management (3 papers), Social Robot Interaction and HRI (3 papers), Semantic Web and Ontologies (3 papers), Intelligent Tutoring Systems and Adaptive Learning (3 papers) and Speech and dialogue systems (2 papers). The work is most often cited by research in Pharmacology (88 citations), Geography, Planning and Development (56 citations), Artificial Intelligence (178 citations), Pharmacology (79 citations) and Signal Processing (49 citations). Robert Atkinson has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Armin Haller, Kerry L. Taylor, Krzysztof Janowicz, Danh Le-Phuoc, Maxime Lefrançois, Joshua Lieberman, Claus Stadler, Simón Cox, Raúl García‐Castro and Winslow Burleson. Their work appears in journals such as Toxicology and Applied Pharmacology, Semantic Web, Monthly labor review, Research in Science & Technological Education and Chemistry Education Research and Practice.

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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