Ajita John

44 total papers · 961 total citations
26 papers, 442 citations indexed

About

Ajita John is a scholar working on Statistical and Nonlinear Physics, Information Systems and Artificial Intelligence. According to data from OpenAlex, Ajita John has authored 26 papers receiving a total of 442 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Statistical and Nonlinear Physics, 8 papers in Information Systems and 8 papers in Artificial Intelligence. Recurrent topics in Ajita John's work include Complex Network Analysis Techniques (12 papers), Opinion Dynamics and Social Influence (9 papers) and Knowledge Management and Sharing (4 papers). Ajita John is often cited by papers focused on Complex Network Analysis Techniques (12 papers), Opinion Dynamics and Social Influence (9 papers) and Knowledge Management and Sharing (4 papers). Ajita John collaborates with scholars based in United States, Bermuda and United Kingdom. Ajita John's co-authors include Dorée Duncan Seligmann, Hari Sundaram, Munmun De Choudhury, Munmun De Choudhury, Vinodkumar Prabhakaran, Yuheng Hu, Alfred Kobsa, Sameer Patil, Yu‐Ru Lin and Kunal Singh and has published in prestigious journals such as Information and Software Technology, ACM Transactions on Information Systems and International Journal of Parallel Programming.

In The Last Decade

Ajita John

26 papers receiving 394 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ajita John 182 160 122 100 66 26 442
Ramasuri Narayanam 154 0.8× 322 2.0× 100 0.8× 54 0.5× 27 0.4× 30 494
Enrico Corradini 174 1.0× 86 0.5× 114 0.9× 95 0.9× 57 0.9× 39 448
Maksim Tsvetovat 122 0.7× 127 0.8× 66 0.5× 119 1.2× 22 0.3× 22 478
Martin Harrigan 164 0.9× 60 0.4× 328 2.7× 62 0.6× 51 0.8× 16 441
Ayman Farahat 230 1.3× 146 0.9× 244 2.0× 79 0.8× 51 0.8× 19 488
Giovanni Stilo 200 1.1× 117 0.7× 97 0.8× 94 0.9× 26 0.4× 49 491
Rachel Cummings 173 1.0× 222 1.4× 68 0.6× 78 0.8× 15 0.2× 30 440
Joshua R. Tyler 73 0.4× 290 1.8× 75 0.6× 107 1.1× 47 0.7× 7 478
Haizheng Zhang 170 0.9× 152 0.9× 114 0.9× 55 0.6× 14 0.2× 33 419
Ilaria Bordino 207 1.1× 84 0.5× 135 1.1× 35 0.3× 61 0.9× 26 484

Countries citing papers authored by Ajita John

Since Specialization
Citations

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

Fields of papers citing papers by Ajita John

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ajita John

This figure shows the co-authorship network connecting the top 25 collaborators of Ajita John. A scholar is included among the top collaborators of Ajita John based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ajita John. Ajita John is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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