Daniel Thomas

835 citations
30 papers · 615 · h-index 14

Impact in

Papers in

Daniel Thomas

29 papers receiving 593 citations

Peers

Daniel Thomas
Comparison fields: 5 of 73
  • Signal Processing 181
  • Information Systems 331
  • Software 41
  • Computer Networks and Communications 118
  • Transportation 28
Replace Xiaobo Wu with:
Xiaobo Wu China
Maha Saadeh Jordan
Davar Pishva Japan
Isaac A. Odun-Ayo Nigeria
Omaimah Omar Bamasag Saudi Arabia
Pooja Anand India
Paul McMullan United Kingdom
Jenny Torres Ecuador
Vishal Kisan Borate India
Saqib Iqbal United Arab Emirates
Daniel Thomas relative to Xiaobo Wu China Xiaobo Wu's profile →
Citations per field
00.5×2×4×6×7.5×
Xiaobo Wu · 1×
Citations per year

Countries citing papers authored by Daniel Thomas

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Thomas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018104
2 199271
3 201569
4 201748
5 201747
6 202141
7 201930
8 201925
9 201525
10 202123
11 200521
12 201619
13 202018
14 202216
15 202012
16 20058
17 20247
18 20157
19
Chicago Downtown Freight Study
20084
20 20244

About Daniel Thomas

Daniel Thomas is a scholar working on Information Systems, Signal Processing, Computer Networks and Communications, Sociology and Political Science and Building and Construction, having authored 30 papers that have together received 615 indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (10 papers), Cybercrime and Law Enforcement Studies (9 papers), Crime, Illicit Activities, and Governance (5 papers), Crime Patterns and Interventions (4 papers), Network Security and Intrusion Detection (4 papers), Green IT and Sustainability (3 papers), Internet Traffic Analysis and Secure E-voting (3 papers) and Digital and Cyber Forensics (2 papers). The work is most often cited by research in Signal Processing (181 citations), Information Systems (331 citations), Software (41 citations), Computer Networks and Communications (118 citations) and Transportation (28 citations). Daniel Thomas has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Richard Clayton, Alice Hutchings, Alastair R. Beresford, Sergio Pastrana, Ben Collier, Andrew C. Rice, George N. Georgiou, Feng‐Bor Lin, Juan Tapiador and Thierry Daboval. Their work appears in journals such as The British Journal of Criminology, First Monday, Policing & Society, Big Data & Society and PLoS ONE.

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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