Alisha Pradhan

1.3k total citations · 1 hit paper
31 papers, 835 citations indexed

About

Alisha Pradhan is a scholar working on Human-Computer Interaction, Demography and Artificial Intelligence. According to data from OpenAlex, Alisha Pradhan has authored 31 papers receiving a total of 835 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Human-Computer Interaction, 15 papers in Demography and 9 papers in Artificial Intelligence. Recurrent topics in Alisha Pradhan's work include Technology Use by Older Adults (15 papers), Innovative Human-Technology Interaction (13 papers) and AI in Service Interactions (9 papers). Alisha Pradhan is often cited by papers focused on Technology Use by Older Adults (15 papers), Innovative Human-Technology Interaction (13 papers) and AI in Service Interactions (9 papers). Alisha Pradhan collaborates with scholars based in United States, India and United Kingdom. Alisha Pradhan's co-authors include Leah Findlater, Amanda Lazar, Kanika Mehta, Katie A. Siek, Ben Jelen, Jon E. Froehlich, Joel Chan, B. B. V. L. Deepak, Emma Dixon and Elissa M. Redmiles and has published in prestigious journals such as SHILAP Revista de lepidopterología, ACM Transactions on Computer-Human Interaction and Proceedings of the ACM on Human-Computer Interaction.

In The Last Decade

Alisha Pradhan

26 papers receiving 814 citations

Hit Papers

"Accessibility Came by Accident" 2018 2026 2020 2023 2018 50 100 150 200 250

Peers

Alisha Pradhan
Comparison fields: 5 of 87
  • Artificial Intelligence 405
  • Demography 285
  • Human-Computer Interaction 257
  • Social Psychology 165
  • Cognitive Neuroscience 141
Replace Hee Rin Lee with:
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Britt Östlund Sweden
Dena Al‐Thani Qatar
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Hee Rin Lee United States View profile →
Citations per field, relative to Alisha Pradhan
Alisha Pradhan · 1×
Citations per year, relative to Alisha Pradhan
Alisha Pradhan · 1×

Countries citing papers authored by Alisha Pradhan

Since Specialization
Citations

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

Fields of papers citing papers by Alisha Pradhan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alisha Pradhan

This figure shows the co-authorship network connecting the top 25 collaborators of Alisha Pradhan. A scholar is included among the top collaborators of Alisha Pradhan 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 Alisha Pradhan. Alisha Pradhan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 1
3 0
4 0
5 1
6 7
7 6
8 0
9 25
10 1
11 26
12 8
13 3
14 45
15 15
16 161
17
Dealing with Plagiarism in Scholarly Communication
2
18 14
19 16
20 48

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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