Daniel Thomas

770 citations
22 papers · 459 indexed · h-index 13

Impact in

Papers in

Daniel Thomas

20 papers receiving 437 citations

Peers

Daniel Thomas
Comparison fields: 5 of 74
  • Information Systems 251
  • Signal Processing 107
  • Software 18
  • Transportation 29
  • Computer Networks and Communications 76
Replace Mukesh Kumar with:
Mukesh Kumar India
Christopher Wills United Kingdom
Avijit Mallik Bangladesh
Luis Omar Colombo-Mendoza Mexico
Paul McMullan United Kingdom
Shaheen Khatoon Saudi Arabia
Abhishek Pandey India
Jingdong Wang China
Faiz Currim United States
Daniel Thomas relative to Mukesh Kumar India Mukesh Kumar's profile →
Citations per field
00.5×3.6×
Mukesh Kumar · 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-authorship network

The 19 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
#Work
1 20242
2 20240
3 20240
4 20243
5 202214
6 202136
7 202120
8 202011
9 202014
10 201917
11 201881
12 201732
13 201740
14 201618
15 20155
16 201550
17
Chicago Downtown Freight Study
20085
18 20058
19 200522
20 199256

About Daniel Thomas

Daniel Thomas is a scholar working on Signal Processing, Information Systems, Computer Networks and Communications, Building and Construction and Safety, Risk, Reliability and Quality, having authored 22 papers that have together received 459 indexed citations. Recurring topics across this work include Cybercrime and Law Enforcement Studies (9 papers), Advanced Malware Detection Techniques (7 papers), Crime, Illicit Activities, and Governance (5 papers), Crime Patterns and Interventions (4 papers), Network Security and Intrusion Detection (3 papers), Internet Traffic Analysis and Secure E-voting (2 papers), Green IT and Sustainability (2 papers) and Traffic control and management (2 papers). The work is most often cited by research in Information Systems (251 citations), Signal Processing (107 citations), Software (18 citations), Transportation (29 citations) and Computer Networks and Communications (76 citations). Daniel Thomas has collaborated with scholars based in United Kingdom, United States and Chile. Frequent co-authors include Richard Clayton, Alice Hutchings, Alastair R. Beresford, Sergio Pastrana, Ben Collier, George Georgiou, Andrew Rice, Feng‐Bor Lin, Thierry Daboval and Juan Tapiador. Their work appears in journals such as Biotechnology and Bioengineering, Policing & Society, Big Data & Society, PLoS ONE and The British Journal of Criminology.

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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