A John

927 citations
61 papers · 476 · h-index 12

Impact in

Papers in

A John

49 papers receiving 429 citations

Peers

A John
Comparison fields: 5 of 97
  • Health Information Management 30
  • Artificial Intelligence 134
  • Computer Vision and Pattern Recognition 81
  • Periodontics 18
  • Signal Processing 37
Replace Anshu Singla with:
Anshu Singla India
Anjali Gautam India
Adekanmi Adeyinka Adegun South Africa
Muhammad Shahzad Sarfraz Pakistan
B. Bharathi India
Linkai Luo China
Margarita Gamarra Colombia
Johannes Haug Germany
Kemal Adem Türkiye
Amal H. Alharbi Saudi Arabia
A John relative to Anshu Singla India Anshu Singla's profile →
Citations per field
00.5×2.6×
Anshu Singla · 1×
Citations per year

Countries citing papers authored by A John

Since Specialization
Citations

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

Fields of papers citing papers by A John

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202063
2 202143
3 202034
4 202233
5 202132
6 200227
7 200622
8 202216
9 200214
10 202313
11 202112
12 202411
13 202311
14 202210
15 20179
16 20229
17 20168
18 20218
19 20228
20
A Global Perspective on Andragogy: An Update
20088

About A John

A John is a scholar working on Education, Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications and Information Systems, having authored 61 papers that have together received 476 indexed citations. Recurring topics across this work include Adult and Continuing Education Topics (7 papers), Data Management and Algorithms (5 papers), Higher Education Learning Practices (5 papers), Air Quality Monitoring and Forecasting (5 papers), Wildlife Ecology and Conservation (4 papers), Educational Leadership and Innovation (4 papers), Air Quality and Health Impacts (4 papers) and Advanced Database Systems and Queries (4 papers). The work is most often cited by research in Health Information Management (30 citations), Artificial Intelligence (134 citations), Computer Vision and Pattern Recognition (81 citations), Periodontics (18 citations) and Signal Processing (37 citations). A John has collaborated with scholars based in India, United States and Taiwan. Frequent co-authors include Senthilkumar Mohan, M. Adimoolam, Gautam Srivastava, Chandrasegar Thirumalai, Jerry Chun‐Wei Lin, Pao‐Ann Hsiung, Stewart W. Breck, M. Balamurugan, Ali Ahmadian and CARTER C. NIEMEYER. Their work appears in journals such as Electronics, IEEE Access, Artificial Intelligence Review, Computer Standards & Interfaces and Software Practice and Experience.

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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