David Inman

532 citations
15 papers · 343 · h-index 5

Impact in

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

Papers in

David Inman

12 papers receiving 333 citations

Peers

David Inman
Comparison fields: 5 of 88
  • Biophysics 42
  • Cell Biology 89
  • Immunology and Allergy 18
  • Urology 16
  • Biomedical Engineering 105
Replace Guneet S. Mehta with:
Guneet S. Mehta United States
Karl Francis United States
Zhaolie Chen China
Jeffrey A. Kamykowski United States
Andrew S. Riching United States
Jo Keeble Singapore
Cole R. Drifka United States
Gency Gunasingh Australia
Yi‐Shuan Sheen Taiwan
Rohit Arora Canada
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 2014288
2 200520
3 200211
4 20176
5 20025
6 20044
7 20023
8 20241
9 20141
10 20251
11
Plagiarism detection in final year undergraduate projects
20061
12 20021
13 20041
14 20230
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 343 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (6 papers), Semantic Web and Ontologies (3 papers), Problem and Project Based Learning (3 papers), Syntax, Semantics, Linguistic Variation (3 papers), Language and cultural evolution (3 papers), Education and Critical Thinking Development (2 papers), Biomedical and Engineering Education (2 papers) and Advanced Text Analysis Techniques (1 paper). The work is most often cited by research in Biophysics (42 citations), Cell Biology (89 citations), Immunology and Allergy (18 citations), Urology (16 citations) and Biomedical Engineering (105 citations). David Inman has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include Jeremy S. Bredfeldt, Joseph M. Szulczewski, T Mackie, Patricia J. Keely, Robert D. Nowak, Matthew W. Conklin, Kevin W. Eliceiri, Carolyn Pehlke, Yuming Liu and Derek K. Lobb. Their work appears in journals such as Journal of Midwifery & Women s Health, Journal of Biomedical Optics, Linguistic Typology, 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.

Explore authors with similar magnitude of impact