Yana Samuel

571 total citations
8 papers, 156 citations indexed

About

Yana Samuel is a scholar working on Management Information Systems, Information Systems and Management and Economics and Econometrics. According to data from OpenAlex, Yana Samuel has authored 8 papers receiving a total of 156 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Management Information Systems, 3 papers in Information Systems and Management and 3 papers in Economics and Econometrics. Recurrent topics in Yana Samuel's work include Big Data and Business Intelligence (3 papers), COVID-19 epidemiological studies (3 papers) and COVID-19 Pandemic Impacts (3 papers). Yana Samuel is often cited by papers focused on Big Data and Business Intelligence (3 papers), COVID-19 epidemiological studies (3 papers) and COVID-19 Pandemic Impacts (3 papers). Yana Samuel collaborates with scholars based in United States, Mexico and Netherlands. Yana Samuel's co-authors include Jim Samuel, Alexander Pelaez, G. G. Md. Nawaz Ali, Rajiv Kashyap, Md. Mokhlesur Rahman, Peter Han Joo Chong and Vivek Kumar and has published in prestigious journals such as IEEE Access, International Journal of Information Management and Frontiers in Artificial Intelligence.

In The Last Decade

Yana Samuel

8 papers receiving 153 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yana Samuel United States	6	69	54	23	21	21	8	156
Lingzi Hong United States	8	48 0.7×	78 1.4×	25 1.1×	11 0.5×	13 0.6×	33	213
Nahema Marchal United Kingdom	8	44 0.6×	100 1.9×	11 0.5×	13 0.6×	27 1.3×	16	243
Carlo Lipizzi United States	8	81 1.2×	131 2.4×	25 1.1×	16 0.8×	6 0.3×	25	295
Roberto Ulloa Germany	10	51 0.7×	127 2.4×	30 1.3×	7 0.3×	4 0.2×	34	242
Dan Calacci United States	6	15 0.2×	103 1.9×	12 0.5×	19 0.9×	13 0.6×	12	254
Tanusree Sharma United States	8	42 0.6×	83 1.5×	104 4.5×	8 0.4×	18 0.9×	24	203
Jess Whittlestone United Kingdom	7	130 1.9×	60 1.1×	40 1.7×	16 0.8×	3 0.1×	10	357
Cristina Ioana Muntean Italy	11	80 1.2×	88 1.6×	61 2.7×	4 0.2×	8 0.4×	25	268
Giovanni Comandé Italy	9	104 1.5×	67 1.2×	19 0.8×	15 0.7×	2 0.1×	35	270
Ali Hussein Hasan Iraq	4	245 3.6×	80 1.5×	104 4.5×	15 0.7×	5 0.2×	8	346

Countries citing papers authored by Yana Samuel

Since Specialization

Citations

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

Fields of papers citing papers by Yana Samuel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yana Samuel

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Samuel, Yana, et al.. (2023). Cultivation of human centered artificial intelligence: culturally adaptive thinking in education (CATE) for AI. Frontiers in Artificial Intelligence. 6. 1198180–1198180. 10 indexed citations

2.

Samuel, Jim, et al.. (2022). Strategies for Democratization of Supercomputing: Availability, Accessibility and Usability of High Performance Computing for Education and Practice of Big Data Analytics. View. 1(1). 3 indexed citations

3.

Samuel, Jim, Rajiv Kashyap, Yana Samuel, & Alexander Pelaez. (2022). Adaptive cognitive fit: Artificial intelligence augmented management of information facets and representations. International Journal of Information Management. 65. 102505–102505. 49 indexed citations

4.

Samuel, Jim, et al.. (2021). Strategies for Democratization of Supercomputing: Availability, Accessibility and Usability of High Performance Computing for Education and Practice of Big Data Analytics. SSRN Electronic Journal. 2 indexed citations

5.

Samuel, Jim, Md. Mokhlesur Rahman, G. G. Md. Nawaz Ali, et al.. (2020). Feeling Positive About Reopening? New Normal Scenarios From COVID-19 US Reopen Sentiment Analytics. IEEE Access. 8. 142173–142190. 69 indexed citations

6.

Samuel, Jim, et al.. (2020). Feeling Positive About Reopening? New Normal Scenarios From COVID-19 US Reopen Sentiment Analytics. SSRN Electronic Journal. 5 indexed citations

7.

Samuel, Jim, Md. Mokhlesur Rahman, G. G. Md. Nawaz Ali, Yana Samuel, & Alexander Pelaez. (2020). Feeling Like it is Time to Reopen Now? COVID-19 New Normal Scenarios Based on Reopening Sentiment Analytics. SSRN Electronic Journal. 10 indexed citations

8.

Samuel, Jim, et al.. (2020). COVID-19 Public Sentiment Insights and Machine Learning for Tweets Classification. SSRN Electronic Journal. 8 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.

Explore authors with similar magnitude of impact