John P. John

3.6k citations
107 papers · 2.5k · h-index 27

Impact in

Papers in

John P. John

100 papers receiving 2.4k citations

Peers

John P. John
Comparison fields: 5 of 167
  • Computer Networks and Communications 750
  • Cognitive Neuroscience 508
  • Psychiatry and Mental health 295
  • Signal Processing 211
  • Artificial Intelligence 415
Replace Kazunori Matsumoto with:
Kazunori Matsumoto Japan
Kook Jin Ahn South Korea
Tara Madhyastha United States
Dav Clark United States
David Wood United States
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Alice Wang United States
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Citations per field
00.5×10×13.2×
Kazunori Matsumoto · 1×
Citations per year

Countries citing papers authored by John P. John

Since Specialization
Citations

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

Fields of papers citing papers by John P. John

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 107 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006260
2 2016257
3
Studying spamming botnets using Botlab
2009146
4
Studying black holes in the internet with Hubble
2008111
5 200790
6 200975
7 201069
8
Consensus routing: the internet as a distributed system
200867
9 200663
10 201459
11
deSEO: combating search-result poisoning
201158
12
Pitfalls for ISP-friendly P2P design.
200957
13 199953
14 201848
15 200646
16 201440
17 200837
18 201137
19 200637
20 200635

About John P. John

John P. John is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health, Radiology, Nuclear Medicine and Imaging, Clinical Psychology and Computer Networks and Communications, having authored 107 papers that have together received 2.5k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (23 papers), Advanced Neuroimaging Techniques and Applications (16 papers), Schizophrenia research and treatment (16 papers), EEG and Brain-Computer Interfaces (9 papers), Mindfulness and Compassion Interventions (6 papers), Electroconvulsive Therapy Studies (6 papers), Genetic Associations and Epidemiology (5 papers) and Advanced Malware Detection Techniques (5 papers). The work is most often cited by research in Computer Networks and Communications (750 citations), Cognitive Neuroscience (508 citations), Psychiatry and Mental health (295 citations), Signal Processing (211 citations) and Artificial Intelligence (415 citations). John P. John has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Arvind Krishnamurthy, Thomas E. Anderson, Ethan Katz-Bassett, Seema Mehrotra, Bindu M. Kutty, Ajay Kumar Nair, Arun Sasidharan, David Wetherall, Steven D. Gribble and Yatin Chawathe. Their work appears in journals such as Alzheimer s & Dementia, Asian Journal of Psychiatry, Journal of Pediatric Surgery, Journal of Neuropsychiatry and Journal of Pediatric Gastroenterology and Nutrition.

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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