Kalpana Shankar

2.0k total citations
66 papers, 1.1k citations indexed

About

Kalpana Shankar is a scholar working on Sociology and Political Science, Information Systems and Information Systems and Management. According to data from OpenAlex, Kalpana Shankar has authored 66 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Sociology and Political Science, 25 papers in Information Systems and 10 papers in Information Systems and Management. Recurrent topics in Kalpana Shankar's work include Research Data Management Practices (18 papers), Digital and Traditional Archives Management (9 papers) and Technology Use by Older Adults (8 papers). Kalpana Shankar is often cited by papers focused on Research Data Management Practices (18 papers), Digital and Traditional Archives Management (9 papers) and Technology Use by Older Adults (8 papers). Kalpana Shankar collaborates with scholars based in United States, Ireland and United Kingdom. Kalpana Shankar's co-authors include L. Jean Camp, Kay Connelly, Shan W. Liu, David A. Ganz, Richard Watermeyer, Cathryn Knight, Tom Crick, Roger Yat‐Nork Chung, Joanne Hardman and Fiona McGaughey and has published in prestigious journals such as SHILAP Revista de lepidopterología, Research Policy and Journal of Medical Internet Research.

In The Last Decade

Kalpana Shankar

63 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kalpana Shankar United States 19 288 274 186 147 130 66 1.1k
Felix C. Brodbeck Germany 24 561 1.9× 110 0.4× 99 0.5× 202 1.4× 154 1.2× 63 2.3k
Barbara Klein United States 19 185 0.6× 172 0.6× 118 0.6× 240 1.6× 131 1.0× 69 1.3k
Lyn Robinson United Kingdom 18 673 2.3× 433 1.6× 54 0.3× 296 2.0× 126 1.0× 100 1.9k
Heike Felzmann Ireland 17 295 1.0× 177 0.6× 142 0.8× 46 0.3× 296 2.3× 29 1.7k
Shalini Chandra France 16 563 2.0× 231 0.8× 187 1.0× 506 3.4× 97 0.7× 60 1.7k
Sebastian K. Boell Australia 13 411 1.4× 227 0.8× 50 0.3× 109 0.7× 123 0.9× 33 1.3k
Jia Tina Du Australia 22 457 1.6× 276 1.0× 67 0.4× 310 2.1× 57 0.4× 120 1.5k
Cecilia Ka Yuk Chan Hong Kong 25 118 0.4× 386 1.4× 83 0.4× 158 1.1× 43 0.3× 90 3.2k
Xiang Yao China 19 407 1.4× 142 0.5× 95 0.5× 45 0.3× 121 0.9× 81 1.6k
Claus Bossen Denmark 26 534 1.9× 234 0.9× 125 0.7× 210 1.4× 314 2.4× 77 2.0k

Countries citing papers authored by Kalpana Shankar

Since Specialization
Citations

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

Fields of papers citing papers by Kalpana Shankar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kalpana Shankar

This figure shows the co-authorship network connecting the top 25 collaborators of Kalpana Shankar. A scholar is included among the top collaborators of Kalpana Shankar 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 Kalpana Shankar. Kalpana Shankar 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
1.
Feliciani, Thomas, et al.. (2024). Funding lotteries for research grant allocation: An extended taxonomy and evaluation of their fairness. Research Evaluation. 33. 1 indexed citations
2.
Hasdianda, Mohammad Adrian, et al.. (2023). 156 Assessing Perceptions of Social Determinants of Health (SDoH) Screening in the Emergency Department Among Patients and Providers. Annals of Emergency Medicine. 82(4). S68–S68. 1 indexed citations
3.
Feliciani, Thomas, et al.. (2022). Peer reviewer topic choice and its impact on interrater reliability: A mixed-method study. Quantitative Science Studies. 3(3). 832–856. 2 indexed citations
4.
Eschenfelder, Kristin R., Kalpana Shankar, & Greg Downey. (2022). The financial maintenance of social science data archives: Four case studies of long‐term infrastructure work. Journal of the Association for Information Science and Technology. 73(12). 1723–1740. 4 indexed citations
5.
Ma, Lai, et al.. (2021). Does the inclusion of non-academic reviewers make any difference for grant impact panels?. Science and Public Policy. 48(6). 763–775. 3 indexed citations
6.
Feliciani, Thomas, et al.. (2021). Analyzing sentiments in peer review reports: Evidence from two science funding agencies. Quantitative Science Studies. 2(4). 1271–1295. 13 indexed citations
7.
McGaughey, Fiona, Richard Watermeyer, Kalpana Shankar, et al.. (2021). ‘This can’t be the new norm’: academics’ perspectives on the COVID-19 crisis for the Australian university sector. Higher Education Research & Development. 41(7). 2231–2246. 72 indexed citations
8.
Shankar, Kalpana, Wei Jeng, Andrea K. Thomer, Nicholas Weber, & Ayoung Yoon. (2020). Data curation as collective action during COVID‐19. Journal of the Association for Information Science and Technology. 72(3). 280–284. 22 indexed citations
9.
Cushing, Amber L. & Kalpana Shankar. (2018). Digital curation on a small island: a study of professional education and training needs in Ireland. Archives and Records. 40(2). 146–163. 10 indexed citations
10.
Eschenfelder, Kristin R., et al.. (2018). A nine dimensional framework for digital cultural heritage organizational sustainability. Online Information Review. 43(2). 182–196. 20 indexed citations
11.
Danaher, John, Michael Hogan, Chris Noone, et al.. (2017). Algorithmic governance: Developing a research agenda through the power of collective intelligence. Big Data & Society. 4(2). 1245743343–1245743343. 190 indexed citations
12.
Williams, Rachel D., Kalpana Shankar, & Kristin R. Eschenfelder. (2017). Two views of the data documentation initiative: Stakeholders, collaboration and metadata standards creation. Proceedings of the Association for Information Science and Technology. 54(1). 455–462. 2 indexed citations
13.
Shankar, Kalpana. (2015). For Want of a Nail: Three Tropes in Data Curation. Research Repository UCD (University College Dublin). 44(4). 161–170. 1 indexed citations
14.
Shankar, Kalpana. (2012). Self-archiving and collaboration in science 2.0. 513–514. 1 indexed citations
15.
Huber, Lesa, Kalpana Shankar, Kelly Caine, et al.. (2012). How In-Home Technologies Mediate Caregiving Relationships in Later Life. International Journal of Human-Computer Interaction. 29(7). 441–455. 38 indexed citations
16.
Shankar, Kalpana, et al.. (2011). Data sharing in the sciences. 45(1). 247–294. 58 indexed citations
17.
Camp, L. Jean, et al.. (2010). Privacy, Technology, and Aging: A Proposed Framework. Ageing International. 36(2). 232–252. 86 indexed citations
18.
Shankar, Kalpana. (2007). Order from chaos: The poetics and pragmatics of scientific recordkeeping. Journal of the American Society for Information Science and Technology. 58(10). 1457–1466. 27 indexed citations
19.
Shankar, Kalpana. (2003). Scientists, records, and the practical politics of infrastructure. UMI eBooks. 6 indexed citations
20.
Shankar, Kalpana. (1999). Towards a Framework for Managing Electronic Records in Scientific Research. Minds at UW (University of Wisconsin). 24(1). 2 indexed citations

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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