D. M. Coffman

9.7k citations
11 papers · 158 · h-index 7

Impact in

Papers in

D. M. Coffman

11 papers receiving 123 citations

Peers

D. M. Coffman
Comparison fields: 5 of 68
  • Water Science and Technology 21
  • Cardiology and Cardiovascular Medicine 27
  • Nuclear and High Energy Physics 16
  • Spectroscopy 19
  • Soil Science 11
Replace Ágnes Fülöp with:
Ágnes Fülöp Hungary
Junhui Liu China
Ola Skavhaug Norway
Jonathan M. Young United States
Hong Ni China
Limei Yan China
Debasis Sadhukhan India
D. Liko Switzerland
Honghai Li China
Susana Briz Spain
D. M. Coffman relative to Ágnes Fülöp Hungary Ágnes Fülöp's profile →
Citations per field
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Ágnes Fülöp · 1×
Citations per year

Countries citing papers authored by D. M. Coffman

Since Specialization
Citations

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

Fields of papers citing papers by D. M. Coffman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D. M. Coffman. 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 D. M. Coffman. The network helps show where D. M. Coffman may publish in the future.

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 197781
2 197222
3 198615
4 19859
5 20089
6 19718
7 20088
8 20082
9
IBM Research Report Celadon: Delivering Business Services to Mobile Users in Public Spaces
20072
10 19901
11 20101

About D. M. Coffman

D. M. Coffman is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition, Information Systems, Information Systems and Management and Environmental Engineering, having authored 11 papers that have together received 158 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (3 papers), Particle physics theoretical and experimental studies (2 papers), Groundwater and Watershed Analysis (2 papers), Hydrology and Watershed Management Studies (2 papers), Personal Information Management and User Behavior (2 papers), Mobile Crowdsensing and Crowdsourcing (2 papers), Hydrology and Sediment Transport Processes (1 paper) and Interactive and Immersive Displays (1 paper). The work is most often cited by research in Water Science and Technology (21 citations), Cardiology and Cardiovascular Medicine (27 citations), Nuclear and High Energy Physics (16 citations), Spectroscopy (19 citations) and Soil Science (11 citations). D. M. Coffman has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Dan Mercola, Barry A. Levine, Janet M. Thornton, Edward A. Keller, W. N. Melhorn, Alasdair Turner, J. Hauser, R. H. Schindler, Danny Soroker and D. G. Hitlin. Their work appears in journals such as Water Resources Research, IEEE Transactions on Nuclear Science, Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, Journal of Molecular Biology and Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D. Particles and fields.

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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