Alex Nelson

19 papers receiving 287 citations

Peers

Alex Nelson
Comparison fields: 5 of 66
  • Signal Processing 104
  • Information Systems 172
  • Computer Vision and Pattern Recognition 78
  • Computer Networks and Communications 61
  • Biochemistry 18
Replace Kyoji Hirata with:
Kyoji Hirata Japan
Yang‐Yi Chen Taiwan
Alexandra Moraru Slovenia
Chia-Hsin Liu Taiwan
Ru Wang China
Robert W. Taylor United States
Xiaosu Chen China
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Citations per field
00.5×8.3×
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Citations per year

Countries citing papers authored by Alex Nelson

Since Specialization
Citations

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

Fields of papers citing papers by Alex Nelson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 201051
2 201640
3
Ceph as a scalable alternative to the hadoop distributed file system
201037
4 201732
5 201230
6 201829
7 201923
8 202019
9 201914
10
Towards an interoperable web service for the monitoring of African Protected Areas
20095
11 20245
12 20145
13
Inferring Previously Uninstalled Applications from Residual Partial Artifacts
20164
14
Software signature derivation from sequential digital forensic analysis
20163
15 20112
16 20222
17
Inferring Previously Uninstalled Applications from Digital Traces
20172
18 19701
19
Inferring previously uninstalled applications from digital traces | NIST
20171

About Alex Nelson

Alex Nelson is a scholar working on Information Systems, Computer Networks and Communications, Signal Processing, Molecular Biology and Computer Vision and Pattern Recognition, having authored 19 papers that have together received 305 indexed citations. Recurring topics across this work include Digital and Cyber Forensics (9 papers), Advanced Data Storage Technologies (9 papers), Advanced Malware Detection Techniques (7 papers), Digital Media Forensic Detection (3 papers), Neurological diseases and metabolism (1 paper), Pancreatic function and diabetes (1 paper), Diabetes Management and Research (1 paper) and Semantic Web and Ontologies (1 paper). The work is most often cited by research in Signal Processing (104 citations), Information Systems (172 citations), Computer Vision and Pattern Recognition (78 citations), Computer Networks and Communications (61 citations) and Biochemistry (18 citations). Alex Nelson has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include Simson Garfinkel, Dougľas R. White, Sasanka Ramanadham, Vassil Roussev, Eoghan Casey, John Turk, Xiaoyong Lei, Scott Brandt, Robert N. Bone and Carlos Maltzahn. Their work appears in journals such as Digital Investigation, Journal of Lipid Research, Journal of Biological Chemistry, Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids and Forensic Science International Digital Investigation.

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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