Frank Adelstein

512 citations
21 papers · 306 · h-index 9

Impact in

Papers in

    • Digital and Cyber Forensics 11
    • Interconnection Networks and Systems 3
    • Mobile Agent-Based Network Management 3
    • Network Traffic and Congestion Control 3
    • Distributed systems and fault tolerance 3
    • Caching and Content Delivery 2

Frank Adelstein

21 papers receiving 266 citations

Peers

Frank Adelstein
Comparison fields: 5 of 43
  • Signal Processing 149
  • Information Systems 162
  • Computer Networks and Communications 143
  • Computer Vision and Pattern Recognition 86
  • Hardware and Architecture 21
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Citations per field
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Citations per year

Countries citing papers authored by Frank Adelstein

Since Specialization
Citations

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

Fields of papers citing papers by Frank Adelstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside Frank Adelstein, 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 Frank Adelstein Line = papers co-authored together Frank Adelstein links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200692
2
Fundamentals of Mobile and Pervasive Computing
200460
3 201130
4 200228
5 200314
6 200314
7 20159
8 20098
9 20078
10 20088
11
MFP: The Mobile Forensic Platform
20037
12 20036
13 20085
14 20035
15
The Mobile Forensic Platform
20022
16
Automatically Creating Realistic Targets for Digital Forensics Investigation.
20052
17 19972
18 20022
19 20042
20 19941

About Frank Adelstein

Frank Adelstein is a scholar working on Information Systems, Computer Networks and Communications, Signal Processing, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 21 papers that have together received 306 indexed citations. Recurring topics across this work include Digital and Cyber Forensics (11 papers), Advanced Malware Detection Techniques (9 papers), Digital Media Forensic Detection (4 papers), Interconnection Networks and Systems (3 papers), Mobile Agent-Based Network Management (3 papers), Network Traffic and Congestion Control (3 papers), Distributed systems and fault tolerance (3 papers) and Caching and Content Delivery (2 papers). The work is most often cited by research in Signal Processing (149 citations), Information Systems (162 citations), Computer Networks and Communications (143 citations), Computer Vision and Pattern Recognition (86 citations) and Hardware and Architecture (21 citations). Frank Adelstein has collaborated with scholars based in United States and France. Frequent co-authors include Golden G. Richard, Sandeep Gupta, M. Singhal, Hajime Inoue, Dexter Kozen, Loren Schwiebert, R.V. Ramanujan, Thi Mai Trang Nguyen, Mukesh Singhal and Rick Parent. Their work appears in journals such as Digital Investigation, Communications of the ACM, Software Practice and Experience, Computer Communications and Telecommunication Systems.

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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