David Inman

550 citations
15 papers · 357 · h-index 5

Impact in

  • Biophysics top 10%
    • Advanced Fluorescence Microscopy Techniques
    • Cellular Mechanics and Interactions

Papers in

David Inman

14 papers receiving 348 citations

Peers

David Inman
Comparison fields: 5 of 85
  • Biophysics 37
  • Cell Biology 87
  • Immunology and Allergy 17
  • Urology 16
  • Orthopedics and Sports Medicine 19
Replace Guneet S. Mehta with:
Guneet S. Mehta United States
Joseph M. Szulczewski United States
Carlos Luzzani Argentina
Jeng‐Wei Tjiu Taiwan
Karl Francis United States
Despina Soteriou Germany
Jeffrey A. Kamykowski United States
Aline Roch Switzerland
Gency Gunasingh Australia
Cole R. Drifka United States
David Inman relative to Guneet S. Mehta United States Guneet S. Mehta's profile →
Citations per field
00.5×1.5×2.2×
Guneet S. Mehta · 1×
Citations per year

Countries citing papers authored by David Inman

Since Specialization
Citations

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

Fields of papers citing papers by David Inman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2014295
2 200521
3 200211
4 20027
5 20176
6 20234
7 20044
8 20023
9
Plagiarism detection in final year undergraduate projects
20061
10 20241
11 20041
12 20141
13 20251
14 20021
15 20240

About David Inman

David Inman is a scholar working on Artificial Intelligence, Language and Linguistics, Cultural Studies, Education and Biomedical Engineering, having authored 15 papers that have together received 357 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (6 papers), Language and cultural evolution (3 papers), Semantic Web and Ontologies (3 papers), Problem and Project Based Learning (3 papers), Syntax, Semantics, Linguistic Variation (3 papers), Biomedical and Engineering Education (2 papers), Education and Critical Thinking Development (2 papers) and Hand Gesture Recognition Systems (1 paper). The work is most often cited by research in Biophysics (37 citations), Cell Biology (87 citations), Immunology and Allergy (17 citations), Urology (16 citations) and Orthopedics and Sports Medicine (19 citations). David Inman has collaborated with scholars based in United Kingdom, Switzerland and United States. Frequent co-authors include Carolyn Pehlke, Patricia J. Keely, Yuming Liu, T Mackie, Jeremy S. Bredfeldt, Joseph M. Szulczewski, Robert D. Nowak, Kevin W. Eliceiri, Matthew W. Conklin and Derek K. Lobb. Their work appears in journals such as Journal of Midwifery & Women s Health, Linguistic Typology, Journal of Biomedical Optics, Scientific Data and Linguistics.

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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