Nalin Sharda

86 total papers · 964 total citations
30 papers, 428 citations indexed

About

Nalin Sharda is a scholar working on Sociology and Political Science, Computer Vision and Pattern Recognition and Speech and Hearing. According to data from OpenAlex, Nalin Sharda has authored 30 papers receiving a total of 428 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Sociology and Political Science, 6 papers in Computer Vision and Pattern Recognition and 6 papers in Speech and Hearing. Recurrent topics in Nalin Sharda's work include Multimedia Communication and Technology (11 papers), Digital Storytelling and Education (6 papers) and Usability and User Interface Design (4 papers). Nalin Sharda is often cited by papers focused on Multimedia Communication and Technology (11 papers), Digital Storytelling and Education (6 papers) and Usability and User Interface Design (4 papers). Nalin Sharda collaborates with scholars based in Australia, Switzerland and India. Nalin Sharda's co-authors include Eva Dakich, Najat Smeda, Sanjay Goel, Khandakar Ahmed, Hua Wang, Ahmad Zahedi, Iftikhar Ahmad, Cagil Ozansoy and Oge Marques and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, Journal of the Association for Information Systems and International Journal of Intelligent Systems.

In The Last Decade

Nalin Sharda

28 papers receiving 379 citations

Hit Papers

The effectiveness of digi... 2014 2026 2018 2022 2014 50 100 150 200

Author Peers

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

Author Last Decade Papers Cites
Nalin Sharda 201 114 105 94 83 30 428
Rune Pettersson 83 0.4× 102 0.9× 69 0.7× 72 0.8× 38 0.5× 45 443
Misook Heo 77 0.4× 173 1.5× 102 1.0× 45 0.5× 48 0.6× 33 428
Eunice Ivala 139 0.7× 239 2.1× 92 0.9× 90 1.0× 73 0.9× 37 450
Phillip A. Towndrow 67 0.3× 278 2.4× 75 0.7× 50 0.5× 70 0.8× 48 453
Judith Molka-Danielsen 20 0.1× 60 0.5× 43 0.4× 73 0.8× 74 0.9× 41 449
Hung‐chun Wang 20 0.1× 183 1.6× 133 1.3× 32 0.3× 100 1.2× 17 432
Charles Kostelnick 36 0.2× 40 0.4× 30 0.3× 45 0.5× 54 0.7× 22 420
Zeynep TATLI 42 0.2× 313 2.7× 85 0.8× 44 0.5× 21 0.3× 35 450
Shao‐Ting Alan Hung 30 0.1× 237 2.1× 77 0.7× 16 0.2× 201 2.4× 23 425
Kemboja Ismail 65 0.3× 273 2.4× 132 1.3× 34 0.4× 169 2.0× 34 495

Countries citing papers authored by Nalin Sharda

Since Specialization
Citations

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

Fields of papers citing papers by Nalin Sharda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nalin Sharda

This figure shows the co-authorship network connecting the top 25 collaborators of Nalin Sharda. A scholar is included among the top collaborators of Nalin Sharda 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 Nalin Sharda. Nalin Sharda 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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