Leslie Main Johnson

23 papers receiving 225 citations

Peers

Leslie Main Johnson
Comparison fields: 5 of 90
  • Plant Science 61
  • General Health Professions 57
  • Ecology 48
  • Global and Planetary Change 43
  • Artificial Intelligence 33
Replace Jitendra Gaikwad with:
Jitendra Gaikwad Germany
Kevin D. Janni United States
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Hekia Bodwitch Canada
R L Hide Australia
Geneviève Cortés France
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Leslie Main Johnson relative to Jitendra Gaikwad Germany Jitendra Gaikwad's profile →
Citations per field
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Citations per year

Countries citing papers authored by Leslie Main Johnson

Since Specialization
Citations

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

Fields of papers citing papers by Leslie Main Johnson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Leslie Main Johnson. 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 Leslie Main Johnson. The network helps show where Leslie Main Johnson may publish in the future.

Co-authorship network of co-authors of Leslie Main Johnson

This figure shows the co-authorship network connecting the top 25 collaborators of Leslie Main Johnson. A scholar is included among the top collaborators of Leslie Main Johnson based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Leslie Main Johnson. Leslie Main Johnson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 4
2 0
3 1
4 1
5 8
6
Landscape Ethnoecology: Concepts of Biotic and Physical Space
40
7 31
8
Visions of the land: Kaska ethnoecology, "kinds of place," and "cultural landscape"
2
9 30
10 4
11 1
12 22
13 0
14
Integrating BPR and Systems Development using Meta-Models
1
15 7
16 1
17
Methodological issues in knowledge based systems development
1
18 5
19
Competent Expert Systems: A Case Study in Fault Diagnosis
23
20 5

About Leslie Main Johnson

Leslie Main Johnson is a scholar working on Anthropology, Management Information Systems and Health Information Management, having authored 29 papers that have together received 254 indexed citations. Recurring topics across this work include Botany, Ecology, and Taxonomy Studies (4 papers), AI-based Problem Solving and Planning (4 papers) and Indigenous Studies and Ecology (3 papers). The work is most often cited by research in Geography, Planning and Development (23 citations), Anthropology (23 citations) and General Health Professions (57 citations). Leslie Main Johnson has collaborated with scholars based in Canada, United Kingdom and United States. Frequent co-authors include Eugene S. Hunn, Elpida Keravnou, Alberto Coustasse, Nancy J. Turner, Galal H. Galal‐Edeen, Chelsey Geralda Armstrong, Gregory Gaich, Eric R. Olson, Yossi Dagon and Liron Walsh. Their work appears in journals such as Journal of the American Society of Nephrology, Knowledge-Based Systems and Journal of Ethnobiology and Ethnomedicine.

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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