Stephen Clark

3.5k citations
41 papers · 2.3k · h-index 23

Impact in

Papers in

Stephen Clark

40 papers receiving 2.1k citations

Peers

Stephen Clark
Comparison fields: 5 of 132
  • Nature and Landscape Conservation 581
  • Artificial Intelligence 1.2k
  • Forestry 74
  • Global and Planetary Change 362
  • Ecology, Evolution, Behavior and Systematics 290
Replace Kevin T. Smith with:
Kevin T. Smith United States
David R. Mortensen United States
N. A. Campbell Australia
Michel Le Page France
Kevin McConway United Kingdom
Julia Schwarz United States
Bastian Steudel Germany
Masahiko Higashi Japan
Yoichiro Takada Japan
Colin Gallagher United States
Stephen Clark relative to Kevin T. Smith United States Kevin T. Smith's profile →
Citations per field
00.5×4.2×
Kevin T. Smith · 1×
Citations per year

Countries citing papers authored by Stephen Clark

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Clark

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996288
2 2003224
3 2004179
4 2003169
5 1996140
6 2004129
7 2003110
8 199696
9 200494
10 200291
11 199689
12 200389
13 199479
14 199767
15 200163
16 199957
17 197538
18 200336
19 200032
20
Object-Extraction and Question-Parsing using CCG.
200429

About Stephen Clark

Stephen Clark is a scholar working on Artificial Intelligence, Global and Planetary Change, Nature and Landscape Conservation, Plant Science and Ecology, Evolution, Behavior and Systematics, having authored 41 papers that have together received 2.3k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (15 papers), Topic Modeling (14 papers), Ecology and Vegetation Dynamics Studies (9 papers), Plant Water Relations and Carbon Dynamics (7 papers), Speech and dialogue systems (5 papers), Semantic Web and Ontologies (4 papers), Mediterranean and Iberian flora and fauna (3 papers) and Plant and animal studies (3 papers). The work is most often cited by research in Nature and Landscape Conservation (581 citations), Artificial Intelligence (1.2k citations), Forestry (74 citations), Global and Planetary Change (362 citations) and Ecology, Evolution, Behavior and Systematics (290 citations). Stephen Clark has collaborated with scholars based in United Kingdom, Spain and United States. Frequent co-authors include James Curran, L. D. Incoll, Francisco I. Pugnaire, Peter Haase, Mark Steedman, Julia Hockenmaier, Miles Osborne, Juan Puigdefábregas, David Weir and Miguel Cueto. Their work appears in journals such as New Phytologist, Journal of Vegetation Science, Functional Ecology, Plant Ecology and Sociology.

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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