John P. John

3.5k citations
100 papers · 2.2k indexed · h-index 26

John P. John

93 papers receiving 2.2k citations

Peers

John P. John
Comparison fields: 5 of 162
  • Cognitive Neuroscience 581
  • Computer Networks and Communications 680
  • Psychiatry and Mental health 335
  • Signal Processing 179
  • Artificial Intelligence 376
Replace Carlo Blundo with:
Carlo Blundo Italy
Dav Clark United States
Tara Madhyastha United States
David Wood United States
Karthik Dinesh United States
Kazunori Matsumoto Japan
John A. Bates United States
Michel Toussaint France
Adeel Razi United Kingdom
Randall Frank United States
John P. John relative to Carlo Blundo Italy Carlo Blundo's profile →
Citations per field
00.5×1.5×1.8×
Carlo Blundo · 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-authorship network

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
#Work
1 20250
2 20240
3 20241
4 20242
5 20242
6 20239
7 20214
8 20214
9 201917
10 20185
11
deSEO: combating search-result poisoning
201152
12
Studying spamming botnets using Botlab
2009123
13 200972
14 200929
15
Consensus routing: the internet as a distributed system
200867
16
Consensus Routing: The Internet as a Distributed System. (Best Paper)
20084
17 200714
18 200313
19 20022
20 20029

About John P. John

John P. John is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health and Radiology, Nuclear Medicine and Imaging, having authored 100 papers that have together received 2.2k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (25 papers), Advanced Neuroimaging Techniques and Applications (18 papers), Schizophrenia research and treatment (16 papers), EEG and Brain-Computer Interfaces (11 papers), Neural dynamics and brain function (7 papers), Electroconvulsive Therapy Studies (7 papers), Mindfulness and Compassion Interventions (6 papers) and Genetic Associations and Epidemiology (5 papers). The work is most often cited by research in Cognitive Neuroscience (581 citations), Computer Networks and Communications (680 citations) and Psychiatry and Mental health (335 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, Bindu M. Kutty, Ethan Katz-Bassett, Seema Mehrotra, Ajay Kumar Nair, Arun Sasidharan, David Wetherall, Sanjeev Jain and Yatin Chawathe. Their work appears in journals such as Alzheimer s & Dementia, Asian Journal of Psychiatry, Journal of Pediatric Gastroenterology and Nutrition, Journal of Pediatric Surgery and Journal of Neuropsychiatry.

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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