Hal Berghel

2.4k citations
179 papers · 1.6k · h-index 19

Impact in

Papers in

    • Spam and Phishing Detection 8
    • Information and Cyber Security 7
    • Cybercrime and Law Enforcement Studies 7
    • Algorithms and Data Compression 9
    • Natural Language Processing Techniques 8
    • Logic, programming, and type systems 7

Hal Berghel

154 papers receiving 1.4k citations

Peers

Hal Berghel
Comparison fields: 5 of 108
  • Information Systems 630
  • Signal Processing 234
  • Communication 128
  • Information Systems and Management 112
  • Artificial Intelligence 416
Replace Helen Ashman with:
Helen Ashman Australia
Jari Veijalainen Finland
Analı́a Amandi Argentina
Esma Aı̈meur Canada
Stefano Mizzaro Italy
Mohd M. Anwar United States
Daniel J. Weitzner United States
Fabien L. Gandon France
Petr Sojka Czechia
Vincent Wade Ireland
Hal Berghel relative to Helen Ashman Australia Helen Ashman's profile →
Citations per field
00.5×1.6×
Helen Ashman · 1×
Citations per year

Countries citing papers authored by Hal Berghel

Since Specialization
Citations

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

Fields of papers citing papers by Hal Berghel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 179 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997138
2 1996123
3 201882
4 201769
5 199748
6 200046
7 201746
8 198441
9 200340
10 201139
11 200138
12 199738
13 201735
14 199631
15 200729
16 200427
17 200523
18 200520
19 199920
20 200619

About Hal Berghel

Hal Berghel is a scholar working on Information Systems, Artificial Intelligence, Computer Networks and Communications, Sociology and Political Science and Communication, having authored 179 papers that have together received 1.6k indexed citations. Recurring topics across this work include Misinformation and Its Impacts (11 papers), Algorithms and Data Compression (9 papers), Spam and Phishing Detection (8 papers), Natural Language Processing Techniques (8 papers), Advanced Malware Detection Techniques (8 papers), Information and Cyber Security (7 papers), Cybercrime and Law Enforcement Studies (7 papers) and Logic, programming, and type systems (7 papers). The work is most often cited by research in Information Systems (630 citations), Signal Processing (234 citations), Communication (128 citations), Information Systems and Management (112 citations) and Artificial Intelligence (416 citations). Hal Berghel has collaborated with scholars based in United States, Australia and Germany. Frequent co-authors include Lawrence O’Gorman, David L. Sallach, Amit Grover, Daniel Berleant, David Roach, John R. Talburt, Ju-Yeon Jo, Werner Leinfellner, Geoff Harris and John Leslie King. Their work appears in journals such as Computer, Communications of the ACM, Advances in computers, ACM SIGPLAN Notices and Theory and Decision.

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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