Johnson P. Thomas

1.3k citations
55 papers · 996 · 1 hit paper · h-index 14

Impact in

Papers in

Johnson P. Thomas

49 papers receiving 881 citations

Johnson P. Thomas's Hit Papers

Feature deduction and ensemble design of intrusion detection systems 2004 · 495 citations
4950+7+14Years since publication100200300400

Peers

Johnson P. Thomas
Comparison fields: 5 of 105
  • Computer Networks and Communications 634
  • Signal Processing 254
  • Artificial Intelligence 518
  • Information Systems 192
  • Hardware and Architecture 55
Replace Huandong Wang with:
Huandong Wang China
Gianluigi Folino Italy
Pedro Furtado Portugal
Sushil K. Prasad United States
Michael Compton Australia
Suprio Ray Canada
Md. Mamunur Rashid Australia
Changqing Ji China
Johnson P. Thomas relative to Huandong Wang China Huandong Wang's profile →
Citations per field
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Huandong Wang · 1×
Citations per year

Countries citing papers authored by Johnson P. Thomas

Since Specialization
Citations

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

Fields of papers citing papers by Johnson P. Thomas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Feature deduction and ensemble design of intrusion detection systems
Hit paper breakdown →
2004495
2 200689
3 200838
4 200534
5 200634
6 202026
7 200423
8 201321
9 200718
10 201514
11 201514
12 201913
13 200513
14 201513
15 201613
16 202311
17 202510
18 201510
19 201710
20 201610

About Johnson P. Thomas

Johnson P. Thomas is a scholar working on Computer Networks and Communications, Artificial Intelligence, Information Systems, Signal Processing and Industrial and Manufacturing Engineering, having authored 55 papers that have together received 996 indexed citations. Recurring topics across this work include Mobile Ad Hoc Networks (8 papers), Manufacturing Process and Optimization (6 papers), Privacy-Preserving Technologies in Data (6 papers), Peer-to-Peer Network Technologies (6 papers), Network Security and Intrusion Detection (6 papers), Data Quality and Management (5 papers), Security in Wireless Sensor Networks (5 papers) and Advanced Malware Detection Techniques (5 papers). The work is most often cited by research in Computer Networks and Communications (634 citations), Signal Processing (254 citations), Artificial Intelligence (518 citations), Information Systems (192 citations) and Hardware and Architecture (55 citations). Johnson P. Thomas has collaborated with scholars based in United States, United Kingdom and South Korea. Frequent co-authors include Ajith Abraham, Srilatha Chebrolu, Mahesh Rao, Guoliang Fan, Muheeb Awawdeh, Venkatesh Sarangan, Lakhmi C. Jain, Sugata Sanyal, Hong Liu and Hong Liu. Their work appears in journals such as Computer Networks, Journal of Parallel and Distributed Computing, Sensors, IEEE Transactions on Robotics and Automation and Journal of Cloud Computing Advances Systems and Applications.

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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