M.A.P. Chamikara

1.9k citations
30 papers · 1.0k · 1 hit paper · h-index 12

Impact in

Papers in

    • Privacy-Preserving Technologies in Data 13
    • Adversarial Robustness in Machine Learning 5
    • Cryptography and Data Security 3
    • Blockchain Technology Applications and Security 3

M.A.P. Chamikara

28 papers receiving 998 citations

M.A.P. Chamikara's Hit Papers

SplitFed: When Federated Learning Meets Split Learning 2022 · 337 citations
3370+1+2Years since publication100200300

Peers

M.A.P. Chamikara
Comparison fields: 5 of 90
  • Artificial Intelligence 673
  • Health Informatics 28
  • Computer Science Applications 96
  • Information Systems 288
  • Computer Networks and Communications 222
Replace Nathalie Baracaldo with:
Nathalie Baracaldo United States
Hanine Tout Canada
Viraaji Mothukuri United States
Zuobin Ying China
Yifeng Zheng China
Sarvar Patel United States
Péter Bertök Australia
Ben Kreuter United States
Karn Seth United States
M.A.P. Chamikara relative to Nathalie Baracaldo United States Nathalie Baracaldo's profile →
Citations per field
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Citations per year

Countries citing papers authored by M.A.P. Chamikara

Since Specialization
Citations

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

Fields of papers citing papers by M.A.P. Chamikara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.A.P. Chamikara. 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 M.A.P. Chamikara. The network helps show where M.A.P. Chamikara may publish in the future.

Co-authors

The 25 scholars most cited alongside M.A.P. Chamikara, 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 M.A.P. Chamikara Line = papers co-authored together M.A.P. Chamikara 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
SplitFed: When Federated Learning Meets Split Learning
Hit paper breakdown →
2022337
2 2020175
3 202188
4 202081
5 201965
6 202260
7 201853
8 201940
9 201937
10 202113
11 202311
12 202011
13 202110
14 20236
15 20146
16 20166
17 20214
18 20194
19 20174
20 20242

About M.A.P. Chamikara

M.A.P. Chamikara is a scholar working on Artificial Intelligence, Information Systems, Signal Processing, Computer Networks and Communications and Sociology and Political Science, having authored 30 papers that have together received 1.0k indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (13 papers), Adversarial Robustness in Machine Learning (5 papers), Privacy, Security, and Data Protection (4 papers), Mobile Crowdsensing and Crowdsourcing (4 papers), Advanced Malware Detection Techniques (4 papers), Network Security and Intrusion Detection (4 papers), Blockchain Technology Applications and Security (3 papers) and Cryptography and Data Security (3 papers). The work is most often cited by research in Artificial Intelligence (673 citations), Health Informatics (28 citations), Computer Science Applications (96 citations), Information Systems (288 citations) and Computer Networks and Communications (222 citations). M.A.P. Chamikara has collaborated with scholars based in Australia, Sri Lanka and United States. Frequent co-authors include Seyit Camtepe, Ibrahim Khalil, Péter Bertök, Lichao Sun, Chandra Thapa, D. Liu, Mohammed Atiquzzaman, Dongxi Liu, Abdelaziz Bouras and Mohammad Saidur Rahman. Their work appears in journals such as Computer Communications, Computers & Security, Information Sciences, PeerJ Computer Science and Personal and Ubiquitous Computing.

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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